Edite o video que esta na pasta que selecionei, usando a skill do video-use.
Corte os silencios e os trechos onde eu errei e repeti a frase.
Aplique um zoom de pelo menos 25% nos momentos em que eu enfatizo o ponto principal. Para os titulos e destaques, use o HyperFrames e crie os overlays no estilo "Liquid Glass" da Apple (glassmorphism): painel de vidro fosco semitransparente, com desfoque do que esta atras (backdrop blur), cantos bem arredondados, borda fina e luminosa (branco em baixa opacidade), sombra suave para dar profundidade e um leve brilho na borda superior.
Coloque um titulo nesse estilo, com o tema do video, nos primeiros segundos.
Importante: componha o overlay tendo o proprio video como fundo do desfoque, para o efeito de vidro capturar a imagem por tras - e nao um fundo transparente.
Quando terminar, me diga onde ficou o arquivo final.
I'll start by looking at the selected folder and loading the video-use skill.
Bash
{
"command": "ls -la [oculto]/Desktop/aula-edit",
"description": "List files in the selected folder"
}total 1489512
drwxr-xr-x@ 3 [oculto] staff 96 Aug 20 15:53 .
drwx------@ 10 [oculto] staff 320 Aug 20 15:53 ..
-rwx------@ 1 [oculto] staff 762628166 Jun 2 16:12 video1.mp4Skill
{
"skill": "video-use"
}Launching skill: video-useBase directory for this skill: [oculto]/.claude/skills/video-use
Video Use
Principle
- LLM reasons from raw transcript + on-demand visuals. The only derived artifact that earns its keep is a packed phrase-level transcript (
takes_packed.md). Everything else — filler tagging, retake detection, shot classification, emphasis scoring — you derive at decision time. - Audio is primary, visuals follow. Cut candidates come from speech boundaries and silence gaps. Drill into visuals only at decision points.
- Ask → confirm → execute → iterate → persist. Never touch the cut until the user has confirmed the strategy in plain English.
- Generalize. Do not assume what kind of video this is. Look at the material, ask the user, then edit.
- Artistic freedom is the default. Every specific value, preset, font, color, duration, pitch structure, and technique in this document is a worked example from one proven video — not a mandate. Read them to understand what's possible and why each worked. Then make your own taste calls based on what the material actually is and what the user actually wants. The only things you MUST do are in the Hard Rules section below. Everything else is yours.
- Invent freely. If the material calls for a technique not described here — split-screen, picture-in-picture, lower-third identity cards, reaction cuts, speed ramps, freeze frames, crossfades, match cuts, L-cuts, J-cuts, speed ramps over breath, whatever — build it. The helpers are ffmpeg and PIL. They can do anything the format supports. Do not wait for permission.
- Verify your own output before showing it to the user. If you wouldn't ship it, don't present it.
Hard Rules (production correctness — non-negotiable)
These are the things where deviation produces silent failures or broken output. They are not taste, they are correctness. Memorize them.
- Subtitles are applied LAST in the filter chain, after every overlay. Otherwise overlays hide captions. Silent failure.
- Per-segment extract → lossless
-c copyconcat, not single-pass filtergraph. Otherwise you double-encode every segment when overlays are added. - 30ms audio fades at every segment boundary (
afade=t=in:st=0:d=0.03,afade=t=out:st={dur-0.03}:d=0.03). Otherwise audible pops at every cut. - Overlays use
setpts=PTS-STARTPTS+T/TBto shift the overlay's frame 0 to its window start. Otherwise you see the middle of the animation during the overlay window. - Master SRT uses output-timeline offsets:
output_time = word.start - segment_start + segment_offset. Otherwise captions misalign after segment concat. - Never cut inside a word. Snap every cut edge to a word boundary from the Scribe transcript.
- Pad every cut edge. Working window: 30–200ms. Scribe timestamps drift 50–100ms — padding absorbs the drift. Tighter for fast-paced, looser for cinematic.
- Word-level verbatim ASR only. Never SRT/phrase mode (loses sub-second gap data). Never normalized fillers (loses editorial signal).
- Cache transcripts per source. Never re-transcribe unless the source file itself changed.
- Parallel sub-agents for multiple animations. Never sequential. Spawn N at once via the
Agenttool; total wall time ≈ slowest one. - Strategy confirmation before execution. Never touch the cut until the user has approved the plain-English plan.
- All session outputs in
<videos_dir>/edit/. Never write inside thevideo-use/project directory.
Everything else in this document is a worked example. Deviate whenever the material calls for it.
Directory layout
The skill lives in video-use/. User footage lives wherever they put it. All session outputs go into <videos_dir>/edit/.
<videos_dir>/
├── <source files, untouched>
└── edit/
├── project.md ← memory; appended every session
├── takes_packed.md ← phrase-level transcripts, the LLM's primary reading view
├── edl.json ← cut decisions
├── transcripts/<name>.json ← cached raw Scribe JSON
├── animations/slot_<id>/ ← per-animation source + render + reasoning
├── clips_graded/ ← per-segment extracts with grade + fades
├── master.srt ← output-timeline subtitles
├── downloads/ ← yt-dlp outputs
├── verify/ ← debug frames / timeline PNGs
├── preview.mp4
└── final.mp4
Setup
First-time install lives in install.md (clone, deps, ffmpeg, skill registration, API key). Don't re-run it every session; on cold start just verify:
ELEVENLABS_API_KEYresolves — either in the environment or in.envat the video-use repo root. If missing, ask the user to paste one and write it to.env(never to the user's<videos_dir>).ffmpeg+ffprobeon PATH.- Python deps installed (
uv syncorpip install -e .inside the repo). - Node.js + npm available if the session needs HyperFrames or Remotion slots. HyperFrames currently requires Node.js 22+.
yt-dlp, HyperFrames, Remotion, Manim installed only on first use.- First-use animation setup happens inside the slot directory, never at the video-use repo root. HyperFrames can be invoked with
npx --yes hyperframes ...; Remotion can be scaffolded withnpx create-video@latestor installed as a project-local dependency before using itsremotion rendercommand. - This skill vendors
skills/manim-video/. Read its SKILL.md when building a Manim slot.
Helpers (helpers/transcribe.py, helpers/render.py, etc.) live alongside this SKILL.md. Resolve their paths relative to the directory containing this file — the skill is typically symlinked at ~/.claude/skills/video-use/ or ~/.codex/skills/video-use/.
Helpers
transcribe.py <video>— single-file Scribe call.--num-speakers Noptional. Cached.transcribe_batch.py <videos_dir>— 4-worker parallel transcription. Use for multi-take.pack_transcripts.py --edit-dir <dir>—transcripts/*.json→takes_packed.md(phrase-level, break on silence ≥ 0.5s).timeline_view.py <video> <start> <end>— filmstrip + waveform PNG. On-demand visual drill-down. Not a scan tool — use it at decision points, not constantly.render.py <edl.json> -o <out>— per-segment extract → concat → overlays (PTS-shifted) → subtitles LAST.--previewfor 720p fast.--build-subtitlesto generate master.srt inline.grade.py <in> -o <out>— ffmpeg filter chain grade. Presets +--filter '<raw>'for custom.
For animations, create <edit>/animations/slot_<id>/ with Bash and spawn a sub-agent via the Agent tool.
The process
- Inventory.
ffprobeevery source.transcribe_batch.pyon the directory.pack_transcripts.pyto producetakes_packed.md. Sample one or twotimeline_views for a visual first impression. - Pre-scan for problems. One pass over
takes_packed.mdto note verbal slips, obvious mis-speaks, or phrasings to avoid. Plain list, feed into the editor brief. - Converse. Describe what you see in plain English. Ask questions shaped by the material. Collect: content type, target length/aspect, aesthetic/brand direction, pacing feel, must-preserve moments, must-cut moments, animation and grade preferences, subtitle needs. Do not use a fixed checklist — the right questions are different every time.
- Propose strategy. 4–8 sentences: shape, take choices, cut direction, animation plan, grade direction, subtitle style, length estimate. Wait for confirmation.
- Execute. Produce
edl.jsonvia the editor sub-agent brief. Drill intotimeline_viewat ambiguous moments. Build animations in parallel sub-agents. Apply grade per-segment. Compose viarender.py. - Preview.
render.py --preview. - Self-eval (before showing the user). Run
timeline_viewon the rendered output (not the sources) at every cut boundary (±1.5s window). Check each image for: - Visual discontinuity / flash / jump at the cut
- Waveform spike at the boundary (audio pop that slipped past the 30ms fade)
- Subtitle hidden behind an overlay (Rule 1 violation)
- Overlay misaligned or showing wrong frames (Rule 4 violation)
Also sample: first 2s, last 2s, and 2–3 mid-points — check grade consistency, subtitle readability, overall coherence. Run ffprobe on the output to verify duration matches the EDL expectation.
If anything fails: fix → re-render → re-eval. Cap at 3 self-eval passes — if issues remain after 3, flag them to the user rather than looping forever. Only present the preview once the self-eval passes.
- Iterate + persist. Natural-language feedback, re-plan, re-render. Never re-transcribe. Final render on confirmation. Append to
project.md.
Cut craft (techniques)
- Audio-first. Candidate cuts from word boundaries and silence gaps.
- Preserve peaks. Laughs, punchlines, emphasis beats. Extend past punchlines to include reactions — the laugh IS the beat.
- Speaker handoffs benefit from air between utterances. Common values: 400–600ms. Less for fast-paced, more for cinematic. Taste call.
- Audio events as signals.
(laughs),(sighs),(applause)mark beats. Extend past them. - Silence gaps are cut candidates. Silences ≥400ms are usually the cleanest. 150–400ms phrase boundaries are usable with a visual check. <150ms is unsafe (mid-phrase).
- Example cut padding (the launch video shipped with this): 50ms before the first kept word, 80ms after the last. Tighter for montage energy, looser for documentary. Stay in the 30–200ms working window (Hard Rule 7).
- Never reason audio and video independently. Every cut must work on both tracks.
The packed transcript (primary reading view)
pack_transcripts.py reads all transcripts/*.json and produces one markdown file where each take is a list of phrase-level lines, each prefixed with its [start-end] time range. Phrases break on any silence ≥ 0.5s OR speaker change. This is the artifact the editor sub-agent reads to pick cuts — it gives word-boundary precision from text alone at 1/10 the tokens of raw JSON.
Example line:
## C0103 (duration: 43.0s, 8 phrases)
[002.52-005.36] S0 Ninety percent of what a web agent does is completely wasted.
[006.08-006.74] S0 We fixed this.
Editor sub-agent brief (for multi-take selection)
When the task is "pick the best take of each beat across many clips," spawn a dedicated sub-agent with a brief shaped like this. The structure is load-bearing; the pitch-shape example is not.
You are editing a <type> video. Pick the best take of each beat and
assemble them chronologically by beat, not by source clip order.
INPUTS:
- takes_packed.md (time-annotated phrase-level transcripts of all takes)
- Product/narrative context: <2 sentences from the user>
- Speaker(s): <name, role, delivery style note>
- Expected structure: <pick an archetype or invent one>
- Verbal slips to avoid: <list from the pre-scan pass>
- Target runtime: <seconds>
Common structural archetypes (pick, adapt, or invent):
- Tech launch / demo: HOOK → PROBLEM → SOLUTION → BENEFIT → EXAMPLE → CTA
- Tutorial: INTRO → SETUP → STEPS → GOTCHAS → RECAP
- Interview: (QUESTION → ANSWER → FOLLOWUP) repeat
- Travel / event: ARRIVAL → HIGHLIGHTS → QUIET MOMENTS → DEPARTURE
- Documentary: THESIS → EVIDENCE → COUNTERPOINT → CONCLUSION
- Music / performance: INTRO → VERSE → CHORUS → BRIDGE → OUTRO
- Or invent your own.
RULES:
- Start/end times must fall on word boundaries from the transcript.
- Pad cut boundaries (working window 30–200ms).
- Prefer silences ≥ 400ms as cut targets.
- Unavoidable slips are kept if no better take exists. Note them in "reason".
- If over budget, revise: drop a beat or trim tails. Report total and self-correct.
OUTPUT (JSON array, no prose):
[{"source": "C0103", "start": 2.42, "end": 6.85, "beat": "HOOK",
"quote": "...", "reason": "..."}, ...]
Return the final EDL and a one-line total runtime check.
Color grade (when requested)
Your job is to reason about the image, not apply a preset. Look at a frame (via timeline_view), decide what's wrong, adjust one thing, look again.
Mental model is ASC CDL. Per channel: out = (in * slope + offset) ** power, then global saturation. slope → highlights, offset → shadows, power → midtones.
Example filter chains (grade.py has --list-presets; use them as starting points or mix your own):
warm_cinematic— retro/technical, subtle teal/orange split, desaturated. Shipped in a real launch video. Safe for talking heads.neutral_punch— minimal corrective: contrast bump + gentle S-curve. No hue shifts.none— straight copy. Default when the user hasn't asked.
For anything else — portraiture, nature, product, music video, documentary — invent your own chain. grade.py --filter '<raw ffmpeg>' accepts any filter string.
Hard rules: apply per-segment during extraction (not post-concat, which re-encodes twice). Never go aggressive without testing skin tones.
Subtitles (when requested)
Subtitles have three dimensions worth reasoning about: chunking (1/2/3/sentence per line), case (UPPER/Title/Natural), and placement (margin from bottom). The right combo depends on content.
Worked styles — pick, adapt, or invent:
bold-overlay — short-form tech launch, fast-paced social. 2-word chunks, UPPERCASE, break on punctuation, Helvetica 18 Bold, white-on-outline, MarginV=35. render.py ships with this as SUB_FORCE_STYLE.
FontName=Helvetica,FontSize=18,Bold=1,
PrimaryColour=&H00FFFFFF,OutlineColour=&H00000000,BackColour=&H00000000,
BorderStyle=1,Outline=2,Shadow=0,
Alignment=2,MarginV=35
natural-sentence (if you invent this mode) — narrative, documentary, education. 4–7 word chunks, sentence case, break on natural pauses, MarginV=60–80, larger font for readability, slightly wider max-width. No shipped force_style — design one if you need it.
Invent a third style if neither fits. Hard rules: subtitles LAST (Rule 1), output-timeline offsets (Rule 5).
Animations (when requested)
Animations match the content and the brand. Get the palette, font, and visual language from the conversation — never assume a default. If the user hasn't told you, propose a palette in the strategy phase and wait for confirmation before building anything.
Tool options:
Pick the engine per animation slot. Do not default to Remotion just because the animation is web-adjacent.
- HyperFrames — Browser-native HTML/CSS/GSAP video compositions: product UI motion, website-to-video or mockup-to-video captures, kinetic typography, landing-page/storyboard promos, data-driven UI states, transparent WebM overlays, and clips that need deterministic frame capture plus HyperFrames lint/validate/render checks. Best when the animation should be authored and verified like a web composition instead of a React component tree.
- Remotion — React/CSS compositions with component state, reusable React primitives, or an existing Remotion brand system. Best when the user specifically asks for React/Remotion or when React composition is the simpler authoring model.
- Manim — formal diagrams, state machines, equation derivations, graph morphs. Read
skills/manim-video/SKILL.mdand its references for depth. - PIL + PNG sequence + ffmpeg — simple overlay cards: counters, typewriter text, single bar reveals, progressive draws. Fast to iterate, any aesthetic you want. The launch video used this.
For HyperFrames slots, scaffold the slot inside edit/animations/slot_<id>/ with npx --yes hyperframes init . --example blank --non-interactive --skip-skills, build the HTML composition there, run the HyperFrames checks that fit the slot (lint, validate, and a draft render when practical), then produce the final overlay video with npx --yes hyperframes render . -o render.mp4 or --format webm -o render.webm when alpha is required. Point the EDL overlay file at the actual rendered path.
For Remotion slots, keep the Remotion project isolated inside the same slot directory, scaffold with npx create-video@latest or install Remotion locally there, render the composition to render.mp4 with the project-local remotion render command, and verify duration and dimensions with ffprobe.
None is mandatory. Invent hybrids if useful (e.g., PIL background with a HyperFrames or Remotion layer on top).
Duration rules of thumb, context-dependent:
- Sync-to-narration explanations. A viewer needs to parse the content at 1×. Rough floor 3s, typical 5–7s for simple cards, 8–14s for complex diagrams. The launch video shipped at 5–7s per simple card.
- Beat-synced accents (music video, fast montage). 0.5–2s is fine — they're visual accents, not information. The "readable at 1×" rule becomes "recognizable at 1×", not "fully parseable."
- Hold the final frame ≥ 1s before the cut (universal).
- Over voiceover: total duration ≥
narration_length + 1s(universal). - Never parallel-reveal independent elements — the eye can't track two new things at once. One thing, pause, next thing.
Animation payoff timing (rule for sync-to-narration): get the payoff word's timestamp. Start the overlay reveal_duration seconds earlier so the landing frame coincides with the spoken payoff word. Without this sync the animation feels disconnected.
Easing (universal — never linear, it looks robotic):
def ease_out_cubic(t): return 1 - (1 - t) ** 3
def ease_in_out_cubic(t):
if t < 0.5: return 4 * t ** 3
return 1 - (-2 * t + 2) ** 3 / 2
ease_out_cubic for single reveals (slow landing). ease_in_out_cubic for continuous draws.
Typing text anchor trick: center on the FULL string's width, not the partial-string width — otherwise text slides left during reveal.
Example palette (the launch video — one aesthetic among infinite):
- Background
(10, 10, 10)near-black - Accent
#FF5A00/(255, 90, 0)orange - Labels
(110, 110, 110)dim gray - Font: Menlo Bold at
/System/Library/Fonts/Menlo.ttc(index 1) - ≤ 2 accent colors, ~40% empty space, minimal chrome
- Result: terminal / retro tech feel
This is one style. If the brand is warm and serif, use that. If it's colorful and playful, use that. If the user handed you a style guide, follow it. If they didn't, propose one and confirm.
Parallel sub-agent brief — each animation is one sub-agent spawned via the Agent tool. Each prompt is self-contained (sub-agents have no parent context). Include:
- One-sentence goal: "Build ONE animation: [spec]. Nothing else."
- Absolute output path (
<edit>/animations/slot_<id>/render.mp4) - Exact technical spec: resolution, fps, codec, pix_fmt, CRF, duration
- Style palette as concrete values (RGB tuples, hex, or reference to a design system)
- Font path with index
- Frame-by-frame timeline (what happens when, with easing)
- Anti-list ("no chrome, no extras, no titles unless specified")
- Code pattern reference (copy helpers inline, don't import across slots)
- Deliverable checklist (script, render, verify duration via ffprobe, report)
- "Do not ask questions. If anything is ambiguous, pick the most obvious interpretation and proceed."
One sub-agent = one file (unique filenames, parallel agents don't overwrite each other).
Output spec
Match the source unless the user asked for something specific. Common targets: 1920×1080@24 cinematic, 1920×1080@30 screen content, 1080×1920@30 vertical social, 3840×2160@24 4K cinema, 1080×1080@30 square. render.py defaults the scale to 1080p from any source; pass --filter or edit the extract command for other targets. Worth asking the user which delivery format matters.
EDL format
{
"version": 1,
"sources": {"C0103": "/abs/path/C0103.MP4", "C0108": "/abs/path/C0108.MP4"},
"ranges": [
{"source": "C0103", "start": 2.42, "end": 6.85,
"beat": "HOOK", "quote": "...", "reason": "Cleanest delivery, stops before slip at 38.46."},
{"source": "C0108", "start": 14.30, "end": 28.90,
"beat": "SOLUTION", "quote": "...", "reason": "Only take without the false start."}
],
"grade": "warm_cinematic",
"overlays": [
{"file": "edit/animations/slot_1/render.mp4", "start_in_output": 0.0, "duration": 5.0}
],
"subtitles": "edit/master.srt",
"total_duration_s": 87.4
}
grade is a preset name or raw ffmpeg filter. overlays are rendered animation clips. subtitles is optional and applied LAST.
Memory — project.md
Append one section per session at <edit>/project.md:
## Session N — YYYY-MM-DD
**Strategy:** one paragraph describing the approach
**Decisions:** take choices, cuts, grades, animations + why
**Reasoning log:** one-line rationale for non-obvious decisions
**Outstanding:** deferred items
On startup, read project.md if it exists and summarize the last session in one sentence before asking whether to continue.
Anti-patterns
Things that consistently fail regardless of style:
- Hierarchical pre-computed codec formats with USABILITY / tone tags / shot layers. Over-engineering. Derive from the transcript at decision time.
- Hand-tuned moment-scoring functions. The LLM picks better than any heuristic you'll write.
- Whisper SRT / phrase-level output. Loses sub-second gap data. Always word-level verbatim.
- Running Whisper locally on CPU. Slow and it normalizes fillers. Use hosted Scribe.
- Burning subtitles into base before compositing overlays. Overlays hide them. (Hard Rule 1.)
- Single-pass filtergraph when you have overlays. Double re-encodes. Use per-segment extract → concat.
- Linear animation easing. Looks robotic. Always cubic.
- Hard audio cuts at segment boundaries. Audible pops. (Hard Rule 3.)
- Typing text centered on the partial string. Text slides left as it grows.
- Sequential sub-agents for multiple animations. Always parallel.
- Editing before confirming the strategy. Never.
- Re-transcribing cached sources. Immutable outputs of immutable inputs.
- Assuming what kind of video it is. Look first, ask second, edit last.
raciocínio interno
I should start with inventory: check ffprobe on the 762MB video, clean up AppleDouble files, and prepare for transcription. Since the user gave a detailed brief but the rules require confirming strategy first, I'll do the inventory, then propose a short plan before executing — remembering to use the venv python, skip subtitles since ffmpeg lacks libass, and delete ._* files first per CLAUDE.md.
There's also a separate CLAUDE.md on an external drive with an approved editing profile, but that's specific to Rafael's videos in that directory and doesn't apply here since this is a different folder with its own Liquid Glass style request. I'll skip that and move on to probing and transcribing.
Bash
{
"command": "find . -name \"._*\" -delete 2>/dev/null; ffprobe -v error -show_entries format=duration,size,bit_rate -show_entries stream=codec_type,codec_name,width,height,r_frame_rate,sample_rate,channels -of default=noprint_wrappers=1 video1.mp4",
"description": "Probe the source video"
}codec_name=h264
codec_type=video
width=1920
height=1080
r_frame_rate=60000/1001
codec_name=aac
codec_type=audio
sample_rate=48000
channels=2
r_frame_rate=0/0
duration=215.979433
size=762628166
bit_rate=28248177Bash
{
"command": "ls ~/Developer/video-use/helpers/ && ffmpeg -hide_banner -filters 2>/dev/null | grep -E '\\ssubtitles\\s' || echo \"SEM LIBASS\"",
"description": "List helpers and check libass"
}__pycache__
grade.py
pack_transcripts.py
render.py
timeline_view.py
transcribe.py
transcribe_batch.py
SEM LIBASSraciocínio interno
The video is 1920x1080 at 59.94fps, running about 3 minutes 36 seconds. I'll start transcribing it.
1920×1080 @ 59.94fps, 3:36. Vou transcrever com o Scribe (word-level).
Bash
{
"command": "~/Developer/video-use/.venv/bin/python ~/Developer/video-use/helpers/transcribe.py video1.mp4 2>&1 | tail -20",
"description": "Transcribe the video with Scribe",
"timeout": 600000
} extracting audio from video1.mp4
uploading video1.wav (6.6 MB)
Traceback (most recent call last):
File "[oculto]/Developer/video-use/helpers/transcribe.py", line 175, in <module>
main()
File "[oculto]/Developer/video-use/helpers/transcribe.py", line 165, in main
transcribe_one(
File "[oculto]/Developer/video-use/helpers/transcribe.py", line 121, in transcribe_one
payload = call_scribe(audio, api_key, language, num_speakers)
File "[oculto]/Developer/video-use/helpers/transcribe.py", line 85, in call_scribe
raise RuntimeError(f"Scribe returned {resp.status_code}: {resp.text[:500]}")
RuntimeError: Scribe returned 401: {"detail":{"type":"payment_required","code":"payment_issue","message":"Your subscription has a failed or incomplete payment. Complete the latest invoice to continue usage.","status":"payment_issue","request_id":"[oculto]"}}raciocínio interno
Since ElevenLabs Scribe is unavailable due to a payment issue, I'm weighing alternatives: asking the user to fix billing, falling back to local Whisper despite its slowness and tendency to normalize filler words, or using ffmpeg's silencedetect to handle silence trimming without needing full transcription—though that alone won't catch retakes or mistakes that need to be identified and cut.
I should check what's actually installed locally—mlx-whisper, faster-whisper, or whisper.cpp—since on an 8GB M-series Mac, mlx-whisper could run fast enough to be viable.
ElevenLabs Scribe recusou: a assinatura está com pagamento pendente (payment_issue, HTTP 401). Sem transcrição eu não consigo detectar as frases repetidas. Vou ver se há alternativa local antes de te travar.
Bash
{
"command": "which whisper whisper-cli mlx_whisper faster-whisper 2>/dev/null; ls ~/Developer/video-use/.venv/bin/ | grep -i -E 'whisper|mlx'; ~/Developer/video-use/.venv/bin/python -c \"import mlx_whisper\" 2>&1 | tail -1; pip3 list 2>/dev/null | grep -i whisper; ls /opt/homebrew/bin 2>/dev/null | grep -i whisper",
"description": "Check for local whisper installations"
}whisper not found
whisper-cli not found
mlx_whisper not found
faster-whisper not found
ModuleNotFoundError: No module named 'mlx_whisper'raciocínio interno
With nothing available locally, I could install mlx-whisper into the venv and pull a model like large-v3-turbo, which at ~1.6GB should fit within 8GB RAM and gives word timestamps. But this is a meaningful decision, so I should check with the user whether to go that route or fix the ElevenLabs payment instead.
Before asking, though, I can gather useful context first — running silence detection and grabbing a sample frame — so the question I pose is better informed.
Nada local instalado. Vou levantar dados úteis enquanto decidimos a rota de transcrição.
Bash
{
"command": "mkdir -p edit/verify && ffmpeg -hide_banner -i video1.mp4 -af silencedetect=noise=-32dB:d=0.35 -f null - 2>&1 | grep -E 'silence_(start|end)' | head -80",
"description": "Detect silence gaps in the audio",
"timeout": 300000
}[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 0.121312
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 0.474583 | silence_duration: 0.353271
frame= 207 fps=0.0 q=-0.0 size=N/A time=00:00:03.47 bitrate=N/A speed=6.86x elapsed=0:00:00.50
frame= 431 fps=427 q=-0.0 size=N/A time=00:00:07.24 bitrate=N/A speed=7.17x elapsed=0:00:01.01
frame= 662 fps=437 q=-0.0 size=N/A time=00:00:11.17 bitrate=N/A speed=7.38x elapsed=0:00:01.51
frame= 892 fps=442 q=-0.0 size=N/A time=00:00:15.06 bitrate=N/A speed=7.46x elapsed=0:00:02.01
frame= 1116 fps=443 q=-0.0 size=N/A time=00:00:18.81 bitrate=N/A speed=7.47x elapsed=0:00:02.52
frame= 1340 fps=443 q=-0.0 size=N/A time=00:00:22.62 bitrate=N/A speed=7.48x elapsed=0:00:03.02
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 24.688917
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 25.526 | silence_duration: 0.837083
frame= 1554 fps=440 q=-0.0 size=N/A time=00:00:26.24 bitrate=N/A speed=7.43x elapsed=0:00:03.53
frame= 1783 fps=442 q=-0.0 size=N/A time=00:00:30.11 bitrate=N/A speed=7.46x elapsed=0:00:04.03
frame= 2007 fps=442 q=-0.0 size=N/A time=00:00:33.90 bitrate=N/A speed=7.47x elapsed=0:00:04.54
frame= 2220 fps=440 q=-0.0 size=N/A time=00:00:37.47 bitrate=N/A speed=7.43x elapsed=0:00:05.04
frame= 2432 fps=438 q=-0.0 size=N/A time=00:00:41.04 bitrate=N/A speed= 7.4x elapsed=0:00:05.54
frame= 2649 fps=438 q=-0.0 size=N/A time=00:00:44.67 bitrate=N/A speed=7.39x elapsed=0:00:06.04
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 47.533604
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 47.96225 | silence_duration: 0.428646
frame= 2877 fps=439 q=-0.0 size=N/A time=00:00:48.51 bitrate=N/A speed= 7.4x elapsed=0:00:06.55
frame= 3093 fps=438 q=-0.0 size=N/A time=00:00:52.15 bitrate=N/A speed=7.39x elapsed=0:00:07.05
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 54.119521
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 54.515104 | silence_duration: 0.395583
frame= 3319 fps=439 q=-0.0 size=N/A time=00:00:55.98 bitrate=N/A speed= 7.4x elapsed=0:00:07.56
frame= 3530 fps=438 q=-0.0 size=N/A time=00:00:59.60 bitrate=N/A speed=7.39x elapsed=0:00:08.06
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 60.143958
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 60.513312 | silence_duration: 0.369354
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 61.508021
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 61.907146 | silence_duration: 0.399125
frame= 3753 fps=438 q=-0.0 size=N/A time=00:01:03.36 bitrate=N/A speed=7.39x elapsed=0:00:08.57
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_start: 65.621396
[Parsed_silencedetect_0 @ 0xc8cc31680] silence_end: 66.025312 | silence_duration: 0.403917
frame= 3982 fps=439 q=-0.0 size=N/A time=00:01:07.23 bitrate=N/A speed=7.41x elapsed=0:00:09.07
frame= 4175 fps=436 q=-0.0 size=N/A time=00:01:10.47 bitrate=N/A speed=7.36x elapsed=0:00:09.58
frame= 4389 fps=435 q=-0.0 size=N/A time=00:01:14.07 bitrate=N/A speed=7.35x elapsed=0:00:10.08
frame= 4610 fps=435 q=-0.0 size=N/A time=00:01:17.81 bitrate=N/A speed=7.35x elapsed=0:00:10.58
frame= 4818 fps=434 q=-0.0 size=N/A time=00:01:21.31 bitrate=N/A speed=7.33x elapsed=0:00:11.09
frame= 4999 fps=431 q=-0.0 size=N/A time=00:01:24.35 bitrate=N/A speed=7.27x elapsed=0:00:11.59
frame= 5188 fps=429 q=-0.0 size=N/A time=00:01:27.57 bitrate=N/A speed=7.23x elapsed=0:00:12.10
frame= 5400 fps=428 q…Bash
{
"command": "mkdir -p edit/verify && for t in 3 40 90 150 200; do ffmpeg -hide_banner -loglevel error -ss $t -i video1.mp4 -frames:v 1 -vf scale=640:-1 edit/verify/frame_$t.jpg -y; done; ls edit/verify/",
"description": "Extract sample frames",
"timeout": 180000
}frame_150.jpg
frame_200.jpg
frame_3.jpg
frame_40.jpg
frame_90.jpgraciocínio interno
Let me check the frames to see what the video actually looks like.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/frame_3.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/frame_90.jpg"
}[imagem]raciocínio interno
The scaled frame came out 640x1138, which is roughly 9:16 — so despite ffprobe reporting 1920x1080, there must be a rotation matrix making the actual display orientation vertical, like a 1080x1920 talking-head video.
This matters because render.py's default 1080p scaling could break with rotation unhandled. I also need to decide on the transcription approach — installing mlx-whisper is pragmatic but it's a ~2GB download on an 8GB RAM machine, so I should confirm the rotation first, then ask the user about the whisper tradeoff.
Bash
{
"command": "ffprobe -v error -select_streams v:0 -show_entries stream_side_data=rotation -show_entries stream_tags=rotate -of default=noprint_wrappers=1 video1.mp4; echo \"---\"; ffprobe -v error -select_streams v:0 -show_entries stream=width,height,nb_frames -of csv=p=0 video1.mp4",
"description": "Check video rotation metadata"
}rotation=-90
---
1920,1080,12746,raciocínio interno
Confirmed the rotation is -90, so the display is 1080x1920 vertical at 59.94fps, running 3:36. Now I should ask about the transcription route.
Levantamento feito. Duas coisas antes de eu seguir:
O vídeo é vertical — 1080×1920 (rotação -90 nos metadados), 59.94fps, 3:36, talking head com luz verde de fundo. Formato de Reels/Shorts.
A transcrição travou: o Scribe da ElevenLabs devolveu payment_issue — a assinatura está com fatura pendente. Sem transcrição palavra-a-palavra eu corto os silêncios (já mapeei 22 pausas ≥350ms), mas não consigo identificar os trechos onde você errou e repetiu a frase, nem sincronizar o zoom com a ênfase da fala.
AskUserQuestion
{
"questions": [
{
"question": "Como quer resolver a transcrição?",
"header": "Transcrição",
"multiSelect": false,
"options": [
{
"label": "Instalar Whisper local (Recomendado)",
"description": "Instalo o mlx-whisper no venv do video-use (~1,6 GB de modelo, roda na GPU do Mac). Resolve agora, sem depender da fatura, e dá timestamps por palavra. Roda offline daqui pra frente."
},
{
"label": "Vou regularizar a ElevenLabs",
"description": "Você acerta a fatura no painel da ElevenLabs e eu rodo o Scribe de novo. Melhor qualidade em PT-BR e mantém os fillers ('é...', 'então...') que ajudam a detectar repetição."
},
{
"label": "Seguir só com detecção de silêncio",
"description": "Corto apenas as pausas e coloco o zoom por análise de energia do áudio + frames. Rápido, mas os trechos repetidos ficam no vídeo — você teria que me apontar os tempos manualmente."
}
]
},
{
"question": "Sobre o título em Liquid Glass: qual é o tema da aula?",
"header": "Tema",
"multiSelect": false,
"options": [
{
"label": "Você me diz o tema",
"description": "Escreva o título que quer no painel de vidro (ex.: 'Como estruturar sua oferta'). Uso exatamente esse texto."
},
{
"label": "Eu extraio da transcrição",
"description": "Depois de transcrever, leio a abertura e proponho um título curto com base no que você fala. Você aprova antes de eu renderizar."
}
]
}
]
}The user answered: "Como quer resolver a transcrição?"="Mas eu tenho 5 dolares de API. Eu preciso assinar?", "Sobre o título em Liquid Glass: qual é o tema da aula?"="Eu extraio da transcrição". Read the answers carefully — they may request clarification, changes, or that you not proceed — and follow what they actually say.raciocínio interno
Having API credit doesn't necessarily help if the subscription itself has a failed payment — that triggers a payment_required error blocking usage regardless of remaining credit. I should check the account's subscription status via the ElevenLabs API to get a clear read on what's actually happening.
Boa pergunta — vou checar o estado real da conta em vez de adivinhar.
Bash
{
"command": "cd ~/Developer/video-use && KEY=$(grep -E '^ELEVENLABS_API_KEY' .env | cut -d= -f2- | tr -d '\"'\"'\"' ') && curl -s -H \"xi-api-key: $KEY\" https://api.elevenlabs.io/v1/user/subscription | ~/Developer/video-use/.venv/bin/python -c \"import sys,json;d=json.load(sys.stdin);print(json.dumps({k:d.get(k) for k in ['tier','status','character_count','character_limit','currency','billing_period','next_character_count_reset_unix','has_open_invoices']},indent=2))\" 2>&1 | head -30",
"description": "Check ElevenLabs subscription status"
}{
"tier": null,
"status": null,
"character_count": null,
"character_limit": null,
"currency": null,
"billing_period": null,
"next_character_count_reset_unix": null,
"has_open_invoices": null
}
Shell cwd was reset to [oculto]/Desktop/aula-editBash
{
"command": "cd ~/Developer/video-use && KEY=$(grep -E '^ELEVENLABS_API_KEY' .env | cut -d= -f2- | tr -d '\"'\"'\"' ') && echo \"keylen=${#KEY}\" && curl -s -w \"\\nHTTP=%{http_code}\\n\" -H \"xi-api-key: $KEY\" https://api.elevenlabs.io/v1/user/subscription | head -c 1200",
"description": "Raw subscription API response"
}keylen=51
{"detail":{"type":"authentication_error","code":"unauthorized","message":"The API key you used is missing the permission user_read to execute this operation.","status":"missing_permissions","request_id":"[oculto]"}}
HTTP=401
Shell cwd was reset to [oculto]/Desktop/aula-editraciocínio interno
Since my key is scoped and can't read user info, I can't verify the balance directly, but the Scribe error was explicit about a payment_required issue — a failed or incomplete payment needing invoice completion. So the answer to the user is that they likely don't need a new plan; it's an open/failed invoice on their existing subscription that's blocking the whole account, including prepaid credits.
They'd need to settle that invoice or update their card directly at elevenlabs.io billing, since I can't check the balance myself without user_read permission. Rather than leave them blocked, I should answer their question and then offer to proceed with the local Whisper install now — I'll ask for one quick confirmation to unblock the work, since I've already asked once and don't want to be repetitive.
Checado: a chave de API é restrita e não tem permissão user_read, então não consigo ler o saldo daqui. Mas a mensagem do Scribe é específica sobre o que está travando:
payment_required/payment_issue— "Your subscription has a failed or incomplete payment. Complete the latest invoice to continue usage."
Respondendo direto: não é falta de saldo, e assinar um plano novo não é o caminho. O que existe é uma fatura em aberto na assinatura atual — provavelmente um cartão que falhou na renovação. Enquanto essa cobrança não é quitada, a ElevenLabs bloqueia o uso da conta inteira, e os créditos que você já tem ficam inacessíveis. Os seus 5 dólares continuam lá; eles só não desbloqueiam a trava de billing.
Para destravar: entre em elevenlabs.io → Settings → Billing, veja a fatura pendente e pague / atualize o cartão. Não consigo fazer isso por você — envolve dados de pagamento.
Enquanto isso, o caminho que não depende de ninguém é rodar o Whisper localmente.
AskUserQuestion
{
"questions": [
{
"question": "Instalo o Whisper local para destravar a edição agora?",
"header": "Como sigo",
"multiSelect": false,
"options": [
{
"label": "Sim, instala (Recomendado)",
"description": "Instalo mlx-whisper no venv do video-use e baixo o modelo large-v3-turbo (~1,6 GB). Roda na GPU do seu Mac, offline, com timestamps por palavra em PT-BR. Uns 5-10 min de setup e já sigo com o corte inteiro sem depender da ElevenLabs."
},
{
"label": "Espera, vou pagar a fatura",
"description": "Você quita a fatura no painel da ElevenLabs e me avisa. Eu rodo o Scribe de novo e sigo. A transcrição sai um pouco melhor em PT-BR e preserva os fillers, que ajudam a achar as repetições."
}
]
}
]
}The user answered: "Instalo o Whisper local para destravar a edição agora?"="Paguei". Read the answers carefully — they may request clarification, changes, or that you not proceed — and follow what they actually say.Pago — vou rodar o Scribe de novo.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python ~/Developer/video-use/helpers/transcribe.py video1.mp4 2>&1 | tail -20",
"description": "Retry Scribe transcription",
"timeout": 600000
} extracting audio from video1.mp4
uploading video1.wav (6.6 MB)
saved: video1.json (181.7 KB) in 8.6s
words: 1055Transcrição saiu — 1055 palavras. Vou empacotar em frases.
Bash
{
"command": "ls edit/transcripts/ 2>/dev/null; ls transcripts/ 2>/dev/null; find . -name \"video1.json\" -not -path \"*/node_modules/*\"",
"description": "Locate transcript output"
}video1.json
./edit/transcripts/video1.jsonBash
{
"command": "~/Developer/video-use/.venv/bin/python ~/Developer/video-use/helpers/pack_transcripts.py --edit-dir edit && cat edit/takes_packed.md",
"description": "Pack transcript into phrase-level view"
}packed 1 transcripts → [oculto]/Desktop/aula-edit/edit/takes_packed.md
13 phrases, 3m 34.6s total runtime
3.6 KB
# Packed transcripts
Phrase-level, grouped on silences ≥ 0.5s or speaker change.
Use `[start-end]` ranges to address cuts in the EDL.
## video1 (duration: 3m 34.6s, 13 phrases)
[000.58-005.66] S0 Ah, som gravando agora, 200 passageiros, mensageiros, aliás, vamo lá.
[006.44-024.64] S0 Até o começo dos anos 90, agência de viagem funcionava com a tropa de mensageiros andando pra cima e pra baixo de bicicleta. Em algumas grandes agências, havia algumas dezenas de mensageiros rodando o dia inteiro. Aí chegou um sistema chamado Galileu.
[025.54-083.28] S0 Antes do Galileu, a operação era assim: o cliente ligava na agência de viagens pedindo uma passagem. O agente então ligava na companhia aérea por telefone, fazia a reserva, esperava a confirmação, mandava o mensageiro pegar o bilhete físico no escritório da companhia aérea, o mensageiro voltava de bicicleta, o agente ligava pro cliente, mandava outro mensageiro entregar o bilhete na casa desse cliente. Pra uma única venda, era no mínimo dois, três mensageiros, quatro telefonemas, quase meio dia de trabalho. Por isso, as agências tinham um exército desses mensageiros. Em 1992, a Maria Luiza Rodenburg, a mesma que depois traria a Starbucks aqui pro Brasil, isso é um tema pra um outro vídeo, foi contratada pra implementar o sistema Galileu no Brasil. Era um sistema computadorizado de reservas globais. A proposta dela pras agências era muito simples, mas ousada: três máquinas
[083.78-102.96] S0 zero quilômetro instaladas, conexão montada, treinamento dos funcionários. Em troca, no mínimo de quinhentas reservas por mês. Em alguns escritórios, ela conta, tinha gente que colocava o mouse no chão pra acionar com o pé, como se fosse uma máquina de costura. Eles não sabiam sequer o que era aquilo.
[103.48-104.06] S0 Em dois anos,
[104.76-111.86] S0 mais de quatrocentas agências aderiram e um exército de mensageiros foi dispensado de uma só vez.
[113.66-158.20] S0 Quem entendeu que o Galileu não era inimigo, era, na verdade, uma extensão da agência, começou a operar em outro patamar. Quem ficou do jeito antigo, mandando mensageiro de bicicleta, simplesmente desapareceu. Ou você conhece alguma agência que trabalhe assim ainda? Cada geração tem o seu mensageiro. Em 92, o mensageiro era de bicicleta. Em 2026, o mensageiro é digital. É o agente que ainda só aperta botão pelo cliente. A função é a mesma, a tecnologia que mudou. Agora me conta, agente, o que você acha que é o Galileu de 2026? Se ele batesse na sua porta, você aceitaria implementar ou você iria virar as costas ficando confortável?
[159.50-169.49] S0 Eu sou Rafael Santos, idealizador do Agente Empreendedor e aqui eu mostro o que acontece quando o cliente certo encontra o agente certo. Já me segue para ver o próximo.
[170.78-176.02] S0 Eu vou só ajustar aqui, Solon, com aquela final ali, pra finalizar melhor a provocação, tá?
[177.96-190.64] S0 Agora me conta o que você acha que é o Galileu de 2026. Se ele batesse na sua porta hoje, você aceitaria implementar ou você iria virar as costas dizendo: "Não, eu tô muito bem, muito confortável, da es-- do jeito que eu sempre fiz as..."
[191.54-192.28] S0 Vou de novo.
[195.44-211.98] S0 Agora me conta, agente, o que você acha que é o Galileu de 2026. Se ele batesse na sua porta, você aceitaria implementar essa inovação ou você iria virar as costas e dizer: "Eu …raciocínio interno
This is Rafael Santos's video — the CLAUDE.md references an approved editing profile for his videos at a specific path, which could inform the grade and style here even though it's for a different directory. I should check if that drive is mounted to reference it, and note the content covers the history of the Galileo system.
Going through the structure now: the opening slate has an error and should be cut entirely, then the hook about messengers in the 90s leads into the main story about the operation before Galileo, Maria Luiza Rodenburg's proposal, and the big beat where 400 agencies adopted it and dispensed with messengers. This builds to the lesson "cada geração tem o seu mensageiro" and a provocative closing question, followed by Rafael's signature/CTA and final direction notes.
There's a retake sequence for the provocation ending — the first attempt fails mid-sentence, he says "vou de novo," and then lands a good version with the bonus line about "síndrome de Gabriela" that he clearly wanted as the final cut. The editor-facing asides throughout should all be cut since they're not part of the actual content.
So the final structure I'm piecing together: the original segment should be trimmed to stop right before the first provocação attempt, then the good retake gets inserted in its place, followed by the signature/CTA moved to the very end — giving a clean order of hook, história, virada, lição, provocação (the good retake), then assinatura.
I need to pull word-level timestamps to pinpoint exactly where segment 7 should cut off, and check for internal silences worth trimming in the longer segments. I also want to verify the approved profile settings on the external drive before finalizing.
Agora entendi o vídeo — e ele praticamente se auto-edita. Você grava o slate, erra, se corrige, e no minuto 2:50 fala com o editor ("vou só ajustar aqui, Solon... pra finalizar melhor a provocação") e regrava o final duas vezes. Vou extrair os tempos exatos.
Bash
{
"command": "ls \"[oculto]/Video Edit/CLAUDE.md\" 2>/dev/null && sed -n '1,120p' \"[oculto]/Video Edit/CLAUDE.md\" || echo \"HD nao montado\"",
"description": "Read approved editing profile if drive mounted"
}[oculto]/Video Edit/CLAUDE.md
# Perfil de edição — talking head (padrão Rafael)
Perfil aprovado em **2026-08-08**, derivado do edit `Teste 01 - Sem legenda.mp4`.
**Este é o padrão para todos os próximos vídeos deste diretório.** Aplique sem
perguntar; só levante a mão quando o material violar uma das premissas listadas
em "Quando este perfil NÃO se aplica".
**O que é fixo e o que é derivado — leia antes de tudo:**
| | fixo (copie) | derivado (recalcule por vídeo) |
|---|---|---|
| **Grade** | o filtro N2 | reconfirme as medições na fonte nova (§1) |
| **Corte** | só silêncio, nunca palavra (§2) | quais silêncios, por waveform |
| **Zoom** | princípios §3.1 + punch-in §3.3 | **todos os pontos e níveis** (§3.2) |
| **Overlays** | vidro, posição, geometria, animação, ícones §4.4 | **todo o texto**, e quantos slots |
O erro clássico é copiar número em vez de método. **Se você se pegar reaproveitando
um valor de zoom ou uma frase de overlay deste edit, parou errado.**
Leia junto: `~/.claude/CLAUDE.md` (video-use + HyperFrames, restrições da máquina).
**Implementação de referência: `FPC_Camisa1/v02/edit/`** — `build.py` (extração
vídeo/áudio separada, composite fosco) e `edl.json` (ranges com punch-in).
Ferramentas em `tools/`: `cuts.py` (janelas de corte seguras, condição dupla) e
`silence.py` (diagnóstico do envelope, para calibrar o limiar).
---
## 1. Color grade — NEUTRO, sem push de calor
```
colorchannelmixer=rr=0.928:gg=1.039:bb=0.942
```
Vai no campo `grade` do `edl.json`. O pipeline aplica por segmento, **antes** do
composite — os overlays nunca são graduados junto.
**O diagnóstico que gerou isso** (não repita a análise do zero, mas *reconfirme os
números* em cada fonte nova — set e câmera podem mudar):
| região | R/G | B/G | alvo |
|---|---|---|---|
| pele (bochecha) | 1,551 | **0,990** | ~1,30 / ~0,86 |
| mesa (madeira clara) | 1,056 | 0,906 | ~1,10 / ~0,85 |
| laptop (cinza) | 1,021 | 1,135 | ~1,00 / ~1,00 |
O desvio **não era calor/âmbar**. Azul alto *junto* com vermelho alto = **verde em
falta** → dominante **magenta/rosada**, que lê como "pele bronzeada". Mesa e parede
já estavam quase neutras.
**Erro a não cometer:** "esfriar" a imagem (baixar R / subir B). Isso piora a pele
(o azul já está alto) e joga a madeira do set pro verde.
**Força: 70% da neutralização total, deliberadamente.** Pele e madeira ocupam a
mesma faixa tonal, então não dá pra corrigir uma sem tocar na outra:
| | pele R/G | pele B/G | mesa R/G |
|---|---|---|---|
| sem grade | 1,603 | 0,983 | 1,056 |
| **N2 = 70% (aprovado)** | **1,433** | **0,886** | 0,950 |
| N3 = 100% | 1,256 | 0,835 | 0,888 ← set esverdeado |
A 100% a pele bate o alvo exato, mas o set inteiro lê verde. 70% é o ponto de
equilíbrio. Variantes medidas, se precisar ajustar:
- N1 (40%) — `rr=0.959:gg=1.022:bb=0.967`
- N3 (100%) — `rr=0.898:gg=1.055:bb=0.917,eq=saturation=0.93`
**Sem saturação, sem contraste, sem look.** É correção, não estilo.
### Como reconfirmar numa fonte nova
Meça R/G e B/G em três regiões (pele, um cinza neutro em cena, uma superfície de
madeira/parede) na média de ~5 frames. Se a pele vier com B/G ≳ 0,95, é a mesma
dominante magenta e este grade serve. Se vier B/G ≲ 0,80, o problema é outro —
**pare e meça de novo antes de aplicar qualquer coisa.**
---
## 2. Corte — SÓ silêncio. Nunca palavra.
> ### 🔒 REGRA FIXA
>
> **O único corte permitido é silêncio / dead-space. Nunca corte palavra falada.**
>
> **Estes vídeos já vêm pré-editados pelo usuário.*…Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\nd=json.load(open('edit/transcripts/video1.json'))\nw=[x for x in d['words'] if x.get('type')=='word']\ndef show(a,b):\n for x in w:\n if a<=x['start']<=b: print(f\"{x['start']:7.2f}-{x['end']:6.2f} {x['text']}\")\nprint(\"=== 140-160 (fim da licao / inicio provocacao v1) ===\")\nshow(140,160)\nPY",
"description": "Dump word timestamps around the lesson ending"
}=== 140-160 (fim da licao / inicio provocacao v1) ===
140.20-140.30 só
140.36-140.74 aperta
140.86-141.57 botão
141.58-141.80 pelo
141.82-142.18 cliente.
142.66-142.67 A
142.76-143.26 função
143.30-143.34 é
143.38-143.39 a
143.48-143.96 mesma,
144.02-144.04 a
144.18-145.14 tecnologia
145.16-145.24 que
145.30-145.67 mudou.
145.72-145.91 Agora
145.96-146.16 me
146.20-146.85 conta,
146.90-147.22 agente,
147.58-147.66 o
147.68-147.78 que
147.80-148.04 você
148.16-148.34 acha
148.46-148.56 que
148.60-148.66 é
148.68-148.76 o
148.78-149.76 Galileu
149.78-149.90 de
150.10-150.92 2026?
151.32-151.36 Se
151.40-151.52 ele
151.56-152.18 batesse
152.22-152.36 na
152.40-152.52 sua
152.64-152.90 porta,
152.98-153.20 você
153.24-154.00 aceitaria
154.14-155.02 implementar
155.36-155.40 ou
155.44-155.70 você
155.74-156.00 iria
156.04-156.38 virar
156.40-156.52 as
156.56-156.96 costas
157.00-157.30 ficando
157.34-158.20 confortável?
159.50-159.58 Eu
159.62-159.72 sou
159.76-160.12 Rafaelraciocínio interno
I notice the approved profile at that CLAUDE.md path is scoped specifically to "todos os próximos vídeos deste diretório" — but this video lives in a different directory (Desktop/aula-edit), even though it's the same creator, Rafael. So I need to check whether that approval actually applies here or if it's directory-specific and doesn't carry over.
Still, it's clearly relevant context from the same creator. The profile's §2 rule says to cut only silence, never words, unless explicitly requested per video — and here the user has explicitly asked to cut both silences and repeated/mistaken phrases, so that authorization is satisfied for this session. I want to check §3 and §4 too, since they cover zoom and overlay specs that match what the user is asking for (≥25% zoom, glass overlays), so I'm reading further into the profile.
O perfil aprovado do Rafael está no HD e é altamente relevante aqui. Vou ler o resto (zoom e overlays).
Bash
{
"command": "sed -n '120,400p' \"[oculto]/Video Edit/CLAUDE.md\"",
"description": "Read zoom and overlay sections of profile"
} afundam abaixo do limiar.
A interseção descartou exatamente esses dois cortes. Script: `cuts.py`.
**O limiar é relativo, não absoluto.** O ganho de gravação varia entre tomadas.
Meça os percentis do envelope: fala ≈ p85, room tone ≈ p05. No v02 deu −17,7 e
−46,7 dBFS, e o limiar ficou em **−42 dBFS** (~5 dB acima do room tone). Não há
separação bimodal limpa — não espere encontrar uma.
Regras operacionais:
- **Piso duro: só corte silêncio ≥ 0,15 s.** Nada menor que isso foi cortado.
- **Nunca corte dentro de palavra falada.** Confirme pelo **waveform**, não pelo
timestamp do ASR. No edit aprovado o corte de 42,765→43,315 cai *dentro* do span
que o Scribe deu pra "passagens." — mas a janela mede **−56,4 dB médio / −44,7 dB
pico** (room tone puro) e a palavra termina antes. Timestamps do Scribe esticam
no fim de frase; **verifique o nível antes de confiar.**
- **Silêncio ≥ 0,15 s é *candidato*, não gatilho automático.** Dos ~21 silêncios
nessa faixa, 13 foram cortados e 8 mantidos. Não existe threshold puro aqui.
- **Onde cortar:** fronteira retórica — fim de frase, antes de virar de ideia,
antes/depois de citação. Os cortes aprovados caem em: depois de `frase:`, dentro
e depois da citação, depois de `É curioso,`, `vê`, `pronto,`, `migratória,`,
`sazonalidade,`, `decisões`, `que`, `errado.`, `falha,`, `emitir`.
- **Onde NÃO cortar: dentro de enumeração.** O bloco de enumeração (seg07)
preservou 4 pausas de 0,16–0,20 s de propósito — a cadência da lista é o efeito.
Cortar ali destrói o ritmo.
- Pausa estrutural (troca de bloco) pode levar corte maior: 0,55–0,57 s.
Faixas observadas: cortado 0,150–0,570 s · preservado 0,120–0,200 s. **As faixas se
sobrepõem — por isso a escolha é editorial, não aritmética.**
### Filler — não caçar, não cortar
**Não rode scanner de filler e não proponha corte de palavra.** Coberto pela regra
fixa acima.
Vale saber por que a regra é essa: no edit aprovado, os 4 "candidatos a filler" que
um scanner acusaria eram **todos conteúdo legítimo** — `né?"` (a piada central do
vídeo), `É` de "É curioso", `é` de "que é insuficiente", `bom` de "um bom agente".
Um corte automático de filler teria destruído a peça. Detector de filler não
entende retórica; o usuário já entendeu, antes de mandar o arquivo.
### Bordas e handles
- Entrada: ~0,05 s antes da primeira palavra.
- Saída: ~0,26 s depois da última palavra (deixa a frase respirar).
- Cada segmento leva fade de áudio de **30 ms** nas duas bordas (evita estalo no
corte). Já está em `extract_segment_zoom`.
---
## 3. Zoom — escada por ênfase (DERIVAR a cada vídeo)
> ### 🔒 Os números deste edit NÃO são o perfil
>
> **1,04 / 1,08 / 1,12 / 1,20 são específicos daquele roteiro. Nunca reaproveite.**
> O que se repete é o **método** e os **princípios estruturais** abaixo. Em cada
> vídeo novo, derive os pontos e os níveis da ênfase **daquele** vídeo.
### 3.1 Princípios estruturais — estes sim, fixos
- **Fonte 2160×3840 → saída 1080×1920: 2× de folga.** Qualquer zoom ≤ 2,0 é recorte
de pixel nativo, matematicamente lossless. **Teto 2,0, nunca ultrapasse.**
- **Um nível por segmento. A troca acontece SEMPRE na emenda do corte.** Nunca anime
zoom dentro de um segmento — nada de push-in contínuo.
- **`Y_BIAS = 0.28`** — o recorte é puxado pra cima. O plano tem muito espaço morto
acima da cabeça; isso tira mais mesa que testa, abaixa o sujeito no quadro e
**libera a faixa superior pros overlays**. Zoom e overlay dependem um do outro:
m…raciocínio interno
This profile matches exactly what the user wants — Liquid Glass overlays with a matte composite using the video as the blur source, plus zoom, and it confirms the composite must be built via build_final_composite_glass() in build.py since backdrop-filter won't work, which is precisely the approach requested. Let me check the reference.
I'm noting some deviations I need to apply: the user explicitly authorized cutting words this time, which the profile allows with per-video authorization. For zoom, the user wants ≥25%, but since this source is 1080×1920 rather than 4K, a 1.25× zoom means real upscaling and quality loss — modest but worth flagging. I also need to reconcile the profile's pacing rules (one level per segment, opening at 1.00×, single climax) with the user's zoom request.
Let me go check the reference build.py to confirm the existing implementation details.
Esse perfil é exatamente o que você está pedindo — inclusive o composite fosco usando o próprio vídeo como fonte do desfoque. Vou olhar a implementação de referência.
Bash
{
"command": "cd \"[oculto]/Video Edit\" && ls && echo \"=== FPC ===\" && ls -R FPC_Camisa1/v02/edit 2>/dev/null | head -40 && echo \"=== tools ===\" && ls tools/ 2>/dev/null",
"description": "Explore reference implementation"
}AGENTS.md
Avulsos
CLAUDE.md
FPC
FPC_Camisa1
Livro
Perguntas
Reflexao
Reflexao_piloto
Teste 01 - Sem legenda.mp4
edit
remotion-video
tools
=== FPC ===
animations
base.mp4
build.py
clips_graded
edl.json
fpc 2.mp4
fpc2.srt
takes_packed.md
transcripts
FPC_Camisa1/v02/edit/animations:
slot_1
slot_2
slot_3
FPC_Camisa1/v02/edit/animations/slot_1:
AGENTS.md
CLAUDE.md
hyperframes.json
index.html
meta.json
package.json
render.mov
FPC_Camisa1/v02/edit/animations/slot_2:
AGENTS.md
CLAUDE.md
hyperframes.json
index.html
meta.json
package.json
render.mov
FPC_Camisa1/v02/edit/animations/slot_3:
AGENTS.md
CLAUDE.md
hyperframes.json
index.html
meta.json
package.json
=== tools ===
__pycache__
batch.py
cuts.py
edl_lib.py
emphasis.py
grade.py
headroom.py
mkedl.py
parts.py
run_video.sh
silence.py
verify_word.py
Shell cwd was reset to [oculto]/Desktop/aula-editBash
{
"command": "cd \"[oculto]/Video Edit/FPC_Camisa1/v02/edit\" && wc -l build.py && sed -n '1,90p' build.py",
"description": "Read reference build.py header"
} 407 build.py
"""Pipeline de render com zoom por segmento.
Reaproveita a logica auditada do render.py do video-use (concat lossless,
PTS-shift dos overlays, legenda POR ULTIMO, loudnorm) e substitui apenas a
extracao de segmento por uma versao com punch-in.
Nao modifica nada dentro do repo video-use.
Uso:
~/Developer/video-use/.venv/bin/python build.py -o preview.mp4 --preview
~/Developer/video-use/.venv/bin/python build.py -o final.mp4
"""
from __future__ import annotations
import argparse
import json
import subprocess
import sys
from pathlib import Path
HELPERS = Path.home() / "Developer" / "video-use" / "helpers"
sys.path.insert(0, str(HELPERS))
from render import ( # noqa: E402
concat_segments, build_master_srt, build_final_composite,
apply_loudnorm_two_pass, is_hdr_source, TONEMAP_CHAIN, resolve_grade_filter,
)
EDIT = Path(__file__).resolve().parent
# Fonte 2160x3840 -> saida 1080x1920. Ha 2x de folga de resolucao, entao
# qualquer zoom <= 2.0 e recorte de pixel nativo: matematicamente lossless.
SRC_W, SRC_H = 2160, 3840
OUT_W, OUT_H = 1080, 1920
# Enquadramento: o plano tem muito espaco morto acima da cabeca. Puxar o
# recorte para cima (0.28) tira mais mesa que testa E abaixa o sujeito no
# quadro, liberando a faixa superior para os overlays nos segmentos com zoom.
Y_BIAS = 0.28
# Escada de zoom, um nivel por segmento. Troca sempre NA emenda do corte.
ZOOM = [
# Escada DERIVADA deste roteiro (perfil §3.2). Emenda "punch" nao remove
# tempo: e so troca de escala sobre a mesma tomada continua.
1.00, # 00 abertura — override do perfil, sempre 1.00
1.14, # 01 PUNCH "alguem decreta o fim das agencias"
1.06, # 02 enumeracao (carrega slot_1) — base larga, a lista precisa de ar
1.16, # 03 PUNCH "e agora a bola da vez e a inteligencia artificial"
1.04, # 04 volta "O curioso e"
1.12, # 05 PUNCH "o mercado continua crescendo"
1.08, # 06 "nao porque as pessoas precisam de mais informacao"
1.18, # 07 PUNCH "informacao nunca foi tao abundante"
1.06, # 08 volta "conhecimento, experiencia e lastro"
1.20, # 09 PUNCH "a distinguir, a decidir, a bater o martelo"
1.14, # 10 tese "elimina a tarefa, mas exige julgamento" (carrega slot_2)
1.24, # 11 PUNCH CLIMAX "meu amigo, minha amiga, so TBC que traz"
1.00, # 12 payoff — reentrada limpa depois da pausa estrutural de 0.56s
1.12, # 13 PUNCH "se vender decisao, vai lucrar"
]
def _has_libass() -> bool:
"""O filtro `subtitles` so existe se o ffmpeg foi compilado com libass."""
out = subprocess.run(["ffmpeg", "-hide_banner", "-filters"],
capture_output=True, text=True).stdout
return any(line.split()[1:2] == ["subtitles"] for line in out.splitlines() if line.split())
def seg_real_duration(path: Path) -> float:
"""Duracao REAL do segmento extraido (o ffmpeg arredonda para frame inteiro)."""
out = subprocess.run(["ffprobe", "-v", "error", "-show_entries", "format=duration",
"-of", "default=nw=1:nk=1", str(path)],
capture_output=True, text=True).stdout.strip()
return float(out)
def src_to_real_out(t: float, ranges: list, real: list[float]) -> float:
"""Mapeia tempo da FONTE -> tempo de saida usando as duracoes MEDIDAS.
Ancorar overlay em tempo de saida planejado acumula o arredondamento de
frame de cada segmento (~+0.28s ao longo de 14 cortes…Bash
{
"command": "cd \"[oculto]/Video Edit/FPC_Camisa1/v02/edit\" && sed -n '90,270p' build.py",
"description": "Read build.py extract and glass composite"
} return acc + (t - a) * (d / (b - a))
acc += d
return acc
def even(n: float) -> int:
return int(n) // 2 * 2
def zoom_chain(z: float) -> str:
"""crop centrado (com vies vertical) + scale para a saida."""
cw, ch = even(SRC_W / z), even(SRC_H / z)
x = even((SRC_W - cw) / 2)
y = even((SRC_H - ch) * Y_BIAS)
return f"crop={cw}:{ch}:{x}:{y},scale={OUT_W}:{OUT_H}"
def extract_video_segment(source, seg_start, duration, zoom, grade_filter,
out_path, preview=False):
"""Extrai UM range de video (sem audio) no seu nivel de zoom.
Video-only de proposito: com punch-in, a maioria das emendas nao remove
tempo — sao so trocas de escala. Se o audio viajasse junto com cada range,
cada punch viraria uma emenda de audio (fade de 30ms de cada lado = entalhe
de 60ms no meio de palavra, alem do erro de quantizacao do AAC). O audio e
montado a parte, em `extract_audio_segment`, cortado so nos silencios reais.
"""
out_path.parent.mkdir(parents=True, exist_ok=True)
vf_parts = []
if is_hdr_source(source):
vf_parts.append(TONEMAP_CHAIN)
vf_parts.append(zoom_chain(zoom))
if grade_filter:
vf_parts.append(grade_filter)
vf = ",".join(vf_parts)
preset, crf = ("medium", "22") if preview else ("fast", "20")
cmd = [
"ffmpeg", "-y",
"-ss", f"{seg_start:.4f}", "-i", str(source), "-t", f"{duration:.4f}",
"-an", "-vf", vf,
"-c:v", "libx264", "-preset", preset, "-crf", crf,
"-pix_fmt", "yuv420p", "-r", "30",
"-movflags", "+faststart", str(out_path),
]
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
def extract_audio_segment(source, seg_start, duration, out_path):
"""Extrai UM bloco de audio, com o fade de 30ms em cada borda.
Um bloco = varios ranges de video contiguos. Ha um bloco por trecho entre
silencios REMOVIDOS, entao o fade so acontece onde de fato houve corte.
"""
out_path.parent.mkdir(parents=True, exist_ok=True)
fade_out = max(0.0, duration - 0.03)
af = f"afade=t=in:st=0:d=0.03,afade=t=out:st={fade_out:.3f}:d=0.03"
cmd = [
"ffmpeg", "-y",
"-ss", f"{seg_start:.4f}", "-i", str(source), "-t", f"{duration:.4f}",
"-vn", "-af", af,
"-c:a", "pcm_s16le", "-ar", "48000", "-ac", "2", str(out_path),
]
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
def concat_stream(paths, out_path, edit_dir, copy=True):
"""Concat demuxer sobre uma lista de arquivos homogeneos."""
lst = edit_dir / f"_concat_{out_path.stem}.txt"
lst.write_text("".join(f"file '{p.resolve()}'\n" for p in paths))
cmd = ["ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", str(lst)]
cmd += ["-c", "copy"] if copy else ["-c:a", "pcm_s16le"]
cmd += [str(out_path)]
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
lst.unlink(missing_ok=True)
def audio_blocks(ranges, eps=1e-4):
"""Agrupa ranges contiguos. Emenda contigua = punch-in (nao corta audio)."""
blocks = [[float(ranges[0]["start"]), float(ranges[0]["end"])]]
for r in ranges[1:]:
s, e = float(r["start"]), float(r["end"])
if abs(s - blocks[-1][1]) < eps:
blocks[-1][1] = e
else:
blocks.append([s, e])
return blocks
GLASS_SIGMA = 40 # raio do fosco (backdrop-blur)
GLASS_SAT = 1.18…raciocínio interno
This pipeline already does what's needed, so I'll adapt build.py for this project. The key difference is the source resolution is 1080×1920 rather than 2160×3840, meaning zoom values above 1.0 will upscale, so I need to flag that. I'll finish reading through build.py's main function and argument parsing, plus check tools/cuts.py and emphasis.py for useful pieces.
Bash
{
"command": "cd \"[oculto]/Video Edit/FPC_Camisa1/v02/edit\" && sed -n '270,407p' build.py",
"description": "Read rest of build.py"
} subprocess.run(
["ffmpeg", "-y", *inputs, "-filter_complex", ";".join(f),
"-map", "[outv]", "-map", "0:a",
"-c:v", "libx264", "-preset", "fast", "-crf", "18",
"-pix_fmt", "yuv420p", "-c:a", "copy", "-movflags", "+faststart",
str(out_path)],
check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
def main() -> None:
ap = argparse.ArgumentParser()
ap.add_argument("-o", "--output", type=Path, required=True)
ap.add_argument("--preview", action="store_true")
ap.add_argument("--no-loudnorm", action="store_true")
# Sem isto os overlays de vidro ficam TRANSPARENTES em vez de foscos.
ap.add_argument("--no-glass", action="store_true",
help="composite simples, sem o backdrop-blur dos overlays")
# O ffmpeg do Homebrew (formula 'ffmpeg') e compilado SEM libass, entao o
# filtro `subtitles` nao existe e o composite falha. Precisa de
# `brew install ffmpeg-full` para queimar legenda.
ap.add_argument("--no-subtitles", action="store_true")
args = ap.parse_args()
if not args.no_subtitles and not _has_libass():
sys.exit("ffmpeg sem libass: filtro `subtitles` indisponivel.\n"
" -> brew install ffmpeg-full (ou rode com --no-subtitles)")
edl = json.loads((EDIT / "edl.json").read_text())
ranges = edl["ranges"]
sources = edl["sources"]
out_path = args.output.resolve()
if len(ZOOM) != len(ranges):
sys.exit(f"ZOOM tem {len(ZOOM)} niveis para {len(ranges)} segmentos")
grade = resolve_grade_filter(edl.get("grade"))
if grade == "__AUTO__":
grade = ""
clips_dir = EDIT / ("clips_preview" if args.preview else "clips_graded")
clips_dir.mkdir(parents=True, exist_ok=True)
src = Path(sources[ranges[0]["source"]])
# ---- VIDEO: um clipe por nivel de zoom -------------------------------
seg_paths = []
print(f"extraindo {len(ranges)} ranges de video")
prev_end = None
for i, r in enumerate(ranges):
start, end = float(r["start"]), float(r["end"])
dur = end - start
kind = "punch " if prev_end is not None and abs(start - prev_end) < 1e-4 else "CORTE "
out = clips_dir / f"seg_{i:02d}.mp4"
print(f" [{i:02d}] {kind} {start:7.3f}-{end:7.3f} ({dur:5.2f}s) "
f"zoom {ZOOM[i]:.2f}x {r.get('beat','')}")
extract_video_segment(src, start, dur, ZOOM[i], grade, out, preview=args.preview)
seg_paths.append(out)
prev_end = end
vbase = EDIT / "_video_base.mp4"
concat_stream(seg_paths, vbase, EDIT)
# ---- AUDIO: um bloco por trecho entre silencios REMOVIDOS ------------
blocks = audio_blocks(ranges)
print(f"extraindo {len(blocks)} blocos de audio "
f"({len(ranges) - len(blocks)} emendas de punch nao tocam no audio)")
apaths = []
for i, (s, e) in enumerate(blocks):
print(f" [{i:02d}] {s:7.3f}-{e:7.3f} ({e - s:5.2f}s)")
out = clips_dir / f"aud_{i:02d}.wav"
extract_audio_segment(src, s, e - s, out)
apaths.append(out)
abase = EDIT / "_audio_base.wav"
concat_stream(apaths, abase, EDIT, copy=False)
base = EDIT / ("base_preview.mp4" if args.preview else "base.mp4")
subprocess.run(["ffmpeg", "-y", "-i", str(vbase), "-i", str(abase),
"-map", "0:v", "-map", "1:a", "-c:v", "copy",
"-c:a", "aac", "-b:a", "192k", "-ar", "48000",
"-shortest", …raciocínio interno
I've got the full pipeline mapped out now. The source is actually 1080×1920 after rotation rather than the expected 2160×3840, which means the requested 1.25× zoom would require upscaling rather than the lossless crop the profile assumes — I need to flag this to the user while still proceeding since they explicitly asked for at least 25%. Now I'm pulling word-level detail to decide how to structure the cut.
I'm working through the timeline segment by segment: keeping the hook, the story, the proposal, the turn, and the lesson, while cutting the failed provocation take, the editor asides, and the "let me go again" moment, and swapping in the better retake of the provocation. I confirmed the original order was provocação then assinatura, so the final sequence keeps that structure with the good retake slotted in before the closing signature/CTA.
Now I'm estimating the total runtime of the kept segments, landing around 2:41 from the original 3:36, and shifting to finding internal silences within the longer blocks by checking word-timestamp gaps and cross-referencing the audio's RMS envelope to decide what's safely cuttable. I want to calibrate the threshold against the envelope's percentile distribution before building out a proper cutting tool, so I'm going to look at their existing cuts script for reference.
Tenho o pipeline completo e auditado. Vou reaproveitá-lo. Agora vou derivar os cortes de silêncio pelo método do perfil (condição dupla: waveform e gap no ASR).
Bash
{
"command": "sed -n '1,80p' \"[oculto]/Video Edit/tools/cuts.py\"",
"description": "Read cuts.py reference"
}"""Deriva janelas de corte seguras — perfil FPC, CLAUDE.md §2.
REGRA FIXA: so silencio, nunca palavra. Aqui isso vira uma condicao DUPLA —
uma janela so e cortavel se for, ao mesmo tempo:
(a) silencio no WAVEFORM (envelope RMS abaixo do limiar), e
(b) gap entre palavras no ASR.
Nenhum dos dois sozinho basta:
- So ASR falha: no v02 o "gap" entre 'so' e 'TBC' tem pico de -0.7 dBFS.
- So waveform falha: o detector achou 0.22s de silencio EM CIMA da palavra
'vez' (fricativa fraca entre duas vogais curtas) e 0.24s sobre 'so'.
A intersecao mata os dois erros. Ainda encolhe GUARD em cada borda, para o corte
nunca encostar no ataque da proxima palavra.
O limiar e RELATIVO ao proprio video (o ganho de gravacao varia entre tomadas):
por padrao room-tone (p05 do envelope) + MARGIN dB.
Uso: cuts.py <video> <transcript.json> [--margin 5] [--floor 0.15] [--guard 0.03]
"""
import argparse, json, subprocess
import numpy as np
from pathlib import Path
SR = 16000
HOP = 0.020
def load_audio(src):
p = subprocess.run(["ffmpeg", "-v", "error", "-i", src, "-map", "0:a", "-ac", "1",
"-ar", str(SR), "-f", "s16le", "-"], capture_output=True, check=True)
return np.frombuffer(p.stdout, dtype=np.int16).astype(np.float32) / 32768.0
def main():
ap = argparse.ArgumentParser()
ap.add_argument("video"); ap.add_argument("transcript")
ap.add_argument("--margin", type=float, default=5.0,
help="dB acima do room tone que ainda conta como silencio")
ap.add_argument("--thr", type=float, default=None, help="limiar absoluto (dBFS)")
ap.add_argument("--floor", type=float, default=0.15)
ap.add_argument("--guard", type=float, default=0.03)
ap.add_argument("--out", default="/tmp/_cuts.json")
a = ap.parse_args()
audio = load_audio(a.video)
n = int(HOP * SR); m = len(audio) // n
env = 20 * np.log10(np.sqrt((audio[:m * n].reshape(m, n) ** 2).mean(1) + 1e-12))
speech, room = np.percentile(env, 85), np.percentile(env, 5)
thr = a.thr if a.thr is not None else room + a.margin
print(f"fala (p85) {speech:6.1f} dBFS | room tone (p05) {room:6.1f} dBFS "
f"| limiar {thr:6.1f} dBFS")
q = env < thr
runs, i = [], 0
while i < len(q):
if q[i]:
j = i
while j < len(q) and q[j]:
j += 1
if (j - i) * HOP >= a.floor:
runs.append((i * HOP, j * HOP))
i = j
else:
i += 1
W = [w for w in json.loads(Path(a.transcript).read_text())["words"]
if w.get("type") == "word"]
gaps = [(x["end"], y["start"], i) for i, (x, y) in enumerate(zip(W, W[1:]))
if y["start"] > x["end"]]
print(f"silencio no waveform: {len(runs)} | gaps no ASR: {len(gaps)}\n")
print(f"{'#':>3} {'janela de corte':>17} {'dur':>6} antes | depois")
out = []
for gs, ge, gi in gaps:
best = None
for rs, re_ in runs:
s, e = max(gs, rs), min(ge, re_)Bash
{
"command": "~/Developer/video-use/.venv/bin/python \"[oculto]/Video Edit/tools/cuts.py\" video1.mp4 edit/transcripts/video1.json --margin 5 --floor 0.15 --out edit/_cuts.json 2>&1 | head -70",
"description": "Derive safe silence cut windows",
"timeout": 300000
}fala (p85) -9.2 dBFS | room tone (p05) -62.9 dBFS | limiar -57.9 dBFS
silencio no waveform: 16 | gaps no ASR: 526
# janela de corte dur antes | depois
1 24.850-> 25.430 0.580 ...chegou um sistema chamado Galileu. | Antes do Galileu, a
2 111.950->112.930 0.980 ...dispensado de uma só vez. | Quem entendeu que o
3 142.290->142.490 0.200 ...só aperta botão pelo cliente. | A função é a
4 158.370->159.450 1.080 ...virar as costas ficando confortável? | Eu sou Rafael Santos,
5 169.730->170.750 1.020 ...segue para ver o próximo. | Eu vou só ajustar
6 176.390->177.250 0.860 ...finalizar melhor a provocação, tá? | Agora me conta o
7 190.690->191.350 0.660 ...que eu sempre fiz as..." | Vou de novo. Agora
8 192.430->193.910 1.480 ...fiz as..." Vou de novo. | Agora me conta, agente,
9 212.130->214.030 1.900 ...cresci assim, vou morrer assim. | Aí segue pro final,
janelas seguras: 9 removivel: 8.76s
primeira palavra 0.580 | ultima termina 215.220raciocínio interno
The room tone is very quiet at -62.9 dBFS, so with a strict threshold only 16 silences show up in the waveform, suggesting a clean recording with a noise gate. Only about 8.76s is removable through the strict dual condition, which is conservative compared to the bigger gains from cutting whole error/retake sections — but the user specifically asked to cut silences, so I need to weigh that against the larger edits.
I'm going to try a wider margin, maybe 12-15dB, to see what candidates open up given how much quieter this room tone is compared to the earlier video's -46.7.
Room tone muito baixo (−62,9 dBFS) — há gate no microfone. Com o limiar estrito só aparecem 9 janelas. Vou abrir o limiar para ver o cenário real de pausas.
Bash
{
"command": "for m in 12 18; do echo \"=== margin $m ===\"; ~/Developer/video-use/.venv/bin/python \"[oculto]/Video Edit/tools/cuts.py\" video1.mp4 edit/transcripts/video1.json --margin $m --floor 0.15 --out edit/_cuts_m$m.json 2>&1 | tail -40; done",
"description": "Test wider silence thresholds",
"timeout": 300000
}=== margin 12 ===
fala (p85) -9.2 dBFS | room tone (p05) -62.9 dBFS | limiar -50.9 dBFS
silencio no waveform: 27 | gaps no ASR: 526
# janela de corte dur antes | depois
1 24.730-> 25.430 0.700 ...chegou um sistema chamado Galileu. | Antes do Galileu, a
2 52.490-> 52.670 0.180 ...venda, era no mínimo dois, | três mensageiros, quatro telefonemas,
3 54.130-> 54.430 0.300 ...no mínimo dois, três mensageiros, | quatro telefonemas, quase meio
4 65.630-> 65.930 0.300 ...1992, a Maria Luiza Rodenburg, | a mesma que depois
5 89.470-> 89.630 0.160 ...reinamento dos funcionários. Em troca, | no mínimo de quinhentas
6 111.930->113.470 1.540 ...dispensado de uma só vez. | Quem entendeu que o
7 142.250->142.490 0.240 ...só aperta botão pelo cliente. | A função é a
8 158.310->159.470 1.160 ...virar as costas ficando confortável? | Eu sou Rafael Santos,
9 169.590->170.750 1.160 ...segue para ver o próximo. | Eu vou só ajustar
10 176.290->177.270 0.980 ...finalizar melhor a provocação, tá? | Agora me conta o
11 190.670->191.470 0.800 ...que eu sempre fiz as..." | Vou de novo. Agora
12 192.350->194.030 1.680 ...fiz as..." Vou de novo. | Agora me conta, agente,
13 212.030->214.030 2.000 ...cresci assim, vou morrer assim. | Aí segue pro final,
janelas seguras: 13 removivel: 11.20s
primeira palavra 0.580 | ultima termina 215.220
=== margin 18 ===
fala (p85) -9.2 dBFS | room tone (p05) -62.9 dBFS | limiar -44.9 dBFS
silencio no waveform: 37 | gaps no ASR: 526
# janela de corte dur antes | depois
1 24.710-> 25.430 0.720 ...chegou um sistema chamado Galileu. | Antes do Galileu, a
2 50.790-> 50.950 0.160 ...cliente. Pra uma única venda, | era no mínimo dois,
3 52.470-> 52.670 0.200 ...venda, era no mínimo dois, | três mensageiros, quatro telefonemas,
4 54.110-> 54.430 0.320 ...no mínimo dois, três mensageiros, | quatro telefonemas, quase meio
5 65.610-> 65.930 0.320 ...1992, a Maria Luiza Rodenburg, | a mesma que depois
6 78.430-> 78.590 0.160 ...a computadorizado de reservas globais. | A proposta dela pras
7 89.430-> 89.630 0.200 ...reinamento dos funcionários. Em troca, | no mínimo de quinhentas
8 90.310-> 90.470 0.160 ...funcionários. Em troca, no mínimo | de quinhentas reservas por
9 102.250->102.410 0.160 ...sabiam sequer o que era | aquilo. Em dois anos,
10 102.990->103.170 0.180 ...sequer o que era aquilo. | Em dois anos, mais
11 104.190->104.370 0.180 ...era aquilo. Em dois anos, | mais de quatrocentas agências
12 111.910->113.590 1.680 ...dispensado de uma só vez. | Quem entendeu que o
13 142.250->142.510 0.260 ...só aperta botão pelo cliente. | A função é a
14 158.270->159.470 1.200 ...virar as costas ficando confortável? | Eu sou Rafael Santos,
15 169.570->170.750 1.180 ...segue para ver o próximo. | Eu vou só ajustar
16 176.210->177.290 1.080 ...finalizar melhor a provocação, tá? | Agora me conta o
17 190.670->191.470 0.800 ...que eu sempre fiz as..." | Vou de novo. Agora
18 192.310->195.230 2.920 ...fiz as..." Vou de novo. | Agora me conta, agente,
19 212.010->214.030 2.020 ...cresci assim, vou morrer assim. | Aí segue pro final,
j…raciocínio interno
With margin 18 I'm finding good candidates, though the recording is tight with only about 14 seconds of removable silence since most pauses are short. I need to be careful not to cut within the enumeration "era no mínimo dois, três mensageiros, quatro telefonemas" — those items at 50.79, 52.47, and 54.11 are part of a continuous list that shouldn't be broken up.
Similarly, the pauses around "Em dois anos" before the payoff "mais de quatrocentas agências aderiram" feel like deliberate dramatic structure, so I'm keeping some of that air too. Going through the silence list one by one now: the 0.72s gap at 24.71 is a block transition I'll trim down but not eliminate; the enumeration pauses at 50.79, 52.47, and 54.11 I'm keeping intact; and the 0.32s pause at 65.61 before the Maria Luiza Rodenburg parenthetical I'm treating as a hesitation to partially cut.
I'm continuing through the remaining pauses — keeping the short ones under enumeration and dramatic beats (like before "no mínimo de quinhentas reservas" and "Em dois anos"), but cutting the large 1.68s structural pause before "Quem entendeu que o Galileu não era inimigo" down to about 0.45s, and trimming the rhetorical boundary pause around "A função é a mesma" to nearly nothing.
Now I need to pin down exact word boundaries for each segment, adding entry/exit handles before and after the first and last words. I'll pull the precise word timestamps to build this out programmatically, then assemble the full edit decision list combining the restructure, silence cuts, and zoom ladder — but before executing, I should present this strategy to the user for confirmation first. I also still need emphasis measurements to work out the zoom ladder properly.
Continuing with BLOCO D — LIÇÃO, starting at 113.61 with "Quem entendeu que o Galileu não era inimigo..." through "a função é a mesma," cutting at 142.25. Then BLOCO E picks up "a tecnologia que mudou" ending at 145.93, and BLOCO F is the provocação retake running from 195.39 to 212.24.
Now I'm marking BLOCO G — ASSINATURA, spanning 159.45 to 169.75, starting with "Eu" and ending on "próximo." I'm also flagging that blocks F and G jump across different timestamps, meaning he likely shifted position between takes — a normal jump cut that the zoom at the edit point should help mask, so I want to check the frames there and pin down exact word timings before finalizing.
Perfeito. Agora vou fixar as fronteiras exatas em palavra e checar continuidade visual nas emendas mais arriscadas.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\nd=json.load(open('edit/transcripts/video1.json'))\nw=[x for x in d['words'] if x.get('type')=='word']\ndef around(t,n=4,label=\"\"):\n idx=min(range(len(w)),key=lambda i:abs(w[i]['start']-t))\n print(f\"--- {label} (t={t}) ---\")\n for x in w[max(0,idx-n):idx+n+1]:\n print(f\" {x['start']:7.2f}-{x['end']:6.2f} {x['text']}\")\nfor t,l in [(6.44,\"inicio HOOK\"),(24.64,\"fim HOOK\"),(25.54,\"inicio HISTORIA\"),\n (65.6,\"pausa Rodenburg\"),(111.86,\"fim VIRADA\"),(113.66,\"inicio LICAO\"),\n (142.3,\"pausa funcao\"),(145.67,\"fim LICAO\"),(195.44,\"inicio PROVOCACAO\"),\n (211.98,\"fim PROVOCACAO\"),(159.50,\"inicio ASSINATURA\"),(169.49,\"fim ASSINATURA\")]:\n around(t,3,l)\nPY",
"description": "Dump exact word boundaries at all cut points"
}--- inicio HOOK (t=6.44) ---
4.64- 5.08 aliás,
5.16- 5.30 vamo
5.34- 5.66 lá.
6.44- 6.58 Até
6.60- 6.64 o
6.70- 7.04 começo
7.08- 7.20 dos
--- fim HOOK (t=24.64) ---
22.40- 22.81 sistema
22.88- 23.62 chamado
23.68- 24.64 Galileu.
25.54- 25.80 Antes
25.82- 25.90 do
25.94- 26.28 Galileu,
26.58- 26.64 a
--- inicio HISTORIA (t=25.54) ---
22.40- 22.81 sistema
22.88- 23.62 chamado
23.68- 24.64 Galileu.
25.54- 25.80 Antes
25.82- 25.90 do
25.94- 26.28 Galileu,
26.58- 26.64 a
--- pausa Rodenburg (t=65.6) ---
63.88- 64.28 Maria
64.32- 64.78 Luiza
64.82- 65.56 Rodenburg,
66.02- 66.04 a
66.14- 66.80 mesma
66.84- 66.92 que
66.98- 67.36 depois
--- fim VIRADA (t=111.86) ---
110.92-111.04 de
111.10-111.26 uma
111.34-111.50 só
111.54-111.86 vez.
113.66-113.78 Quem
113.84-114.32 entendeu
114.38-114.44 que
--- inicio LICAO (t=113.66) ---
111.10-111.26 uma
111.34-111.50 só
111.54-111.86 vez.
113.66-113.78 Quem
113.84-114.32 entendeu
114.38-114.44 que
114.46-114.52 o
--- pausa funcao (t=142.3) ---
140.86-141.57 botão
141.58-141.80 pelo
141.82-142.18 cliente.
142.66-142.67 A
142.76-143.26 função
143.30-143.34 é
143.38-143.39 a
--- fim LICAO (t=145.67) ---
144.18-145.14 tecnologia
145.16-145.24 que
145.30-145.67 mudou.
145.72-145.91 Agora
145.96-146.16 me
146.20-146.85 conta,
146.90-147.22 agente,
--- inicio PROVOCACAO (t=195.44) ---
191.54-191.62 Vou
191.64-191.74 de
191.78-192.28 novo.
195.44-195.63 Agora
195.70-195.86 me
195.90-196.22 conta,
196.32-196.57 agente,
--- fim PROVOCACAO (t=211.98) ---
211.04-211.22 assim,
211.30-211.36 vou
211.40-211.58 morrer
211.62-211.98 assim.
214.08-214.22 Aí
214.26-214.44 segue
214.50-214.60 pro
--- inicio ASSINATURA (t=159.5) ---
156.56-156.96 costas
157.00-157.30 ficando
157.34-158.20 confortável?
159.50-159.58 Eu
159.62-159.72 sou
159.76-160.12 Rafael
160.14-160.44 Santos,
--- fim ASSINATURA (t=169.49) ---
168.60-168.76 para
168.80-168.92 ver
168.94-168.96 o
169.06-169.49 próximo.
170.78-170.86 Eu
170.88-170.94 vou
171.00-171.08 sóraciocínio interno
With boundaries confirmed, I want to check visual continuity at the two reorder points—where LIÇÃO transitions to PROVOCAÇÃO and where PROVOCAÇÃO transitions to ASSINATURA—so I'll extract frames around those timestamps.
Bash
{
"command": "for t in 145.6 195.5 212.0 159.6; do ffmpeg -hide_banner -loglevel error -ss $t -i video1.mp4 -frames:v 1 -vf scale=420:-1 \"edit/verify/emenda_$t.jpg\" -y; done && ls edit/verify/emenda*",
"description": "Extract frames at reorder emend points",
"timeout": 180000
}edit/verify/emenda_145.6.jpg
edit/verify/emenda_159.6.jpg
edit/verify/emenda_195.5.jpg
edit/verify/emenda_212.0.jpgRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_145.6.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_195.5.jpg"
}[imagem]raciocínio interno
I notice he's noticeably closer to camera at 195.5 than at 145.6, so emending between those points will create a visible scale jump. I could mitigate this with the zoom ladder technique—using a lower zoom on the segment where he's already bigger in frame—though the framing difference is substantial enough that it's worth reconsidering the approach.
Actually, since zoom can't go below 1.0, I can't scale the provocação segment down to compensate. But this jump cut might actually work in the video's favor—him leaning in during the provocation reads as intentional emphasis rather than an editing flaw, reinforcing the emotional beat rather than undermining it. I'll check the 212.0 → 159.45 transition next to see if similar logic applies.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_212.0.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_159.6.jpg"
}[imagem]raciocínio interno
The jump from PROVOCAÇÃO to ASSINATURA means going from a large, close zoom to a smaller one, but I can offset that by giving ASSINATURA a slightly higher zoom since a signature/CTA benefits from a closer read anyway. Now I need to derive the zoom ladder by measuring emphasis per segment using audio peak and motion energy, starting by splitting the longer blocks into smaller segments.
With roughly 161 seconds of kept content and a punch-in every 5-8 seconds per the profile's guidance, I'm estimating 20-28 zoom segments, which I'm placing at rhetorical anchor points. I'm now laying out the cut structure for the audio blocks — HOOK, HISTÓRIA parts 1 and 2 with VIRADA, and LIÇÃO — working out precise start and end timestamps for each based on word boundaries and silence gaps, so I can later define punch sub-ranges within them.
I'm continuing to map out the remaining blocks: LIÇÃO part 2, the PROVOCAÇÃO retake, and ASSINATURA, checking the gap between D and E more carefully since the silence window and actual word timing don't perfectly align — the true gap is about 0.48s, and with standard handles that only trims 0.17s, which is marginal enough that I'm reconsidering whether this boundary should be a cut at all versus just a punch-in point.
Looking at the Rodenburg pause similarly, the gap there is about 0.46s and trimming with handles only removes 0.15s — also marginal, and since it's an appositive pause that reads naturally, I'll keep B and C merged as a punch-in rather than a hard cut. That means D and E merge into one continuous audio block spanning 113.61 to 145.93, and I'm now compiling the actual list of audio cuts needed, starting with removing the opening segment.
Mapping out the remaining cuts, I land on four final audio blocks: A from 6.39 to 24.90, B from 25.49 to 145.93, C from 195.39 to 212.24, and D from 159.45 to 169.75, totaling roughly 166 seconds, or about 2:46.
But I'm second-guessing this — the user asked to cut silences, and I've only removed one internal gap so far. I should look harder for other structural pauses I might have missed, like the 1.80s gap between "vez." and "Quem" around 111.91-113.61, which deserves a cut too.
I'll keep it simple and defensible, skipping the marginal 0.39s trim since the dramatic beat is worth more. So the cuts are: the opening slate/error, a 0.59s gap, a 1.49s structural pause, the 49.46s block of errors and retakes, then a jump near the end. That gives me five audio blocks to assemble: roughly 18.5s, 86.6s, 32.3s, 16.9s, and 10.3s in sequence.
Total runtime comes to about 164.6s, down from 216s — a cut of roughly 51 seconds, landing at 2:45.
Now I need to check the resolution situation. The source is natively 1080×1920 after rotation correction, so a 1.25x zoom would mean cropping to 864×1536 and upscaling back to 1080×1920 — that's a real quality loss I need to flag rather than gloss over. I'm verifying this against the ffprobe output: the encoded frame is 1920×1080 with a -90 rotation flag, meaning the displayed orientation is 1080×1920, confirming there's no extra pixel headroom to work with for punch-ins.
Given the tradeoffs, I'll proceed with the 1.25x zoom level as requested, using lanczos scaling to keep the softening minimal — it should be acceptable for vertical social content viewed on phones. Now I want to move on to measuring emphasis across the footage to decide where to place the zoom/punch moments, so I'm going to build out a measurement approach over segments and check what tooling is already available for this.
Continuidade checada: em 195s (retake da provocação) ele está bem mais próximo da câmera, e em 159s (assinatura) mais recuado. Vou usar a escada de zoom para compensar essas duas emendas.
Vou medir a ênfase por trecho para derivar os pontos de zoom.
Bash
{
"command": "sed -n '1,60p' \"[oculto]/Video Edit/tools/emphasis.py\"",
"description": "Read emphasis measurement tool"
}"""§3.2 — mede enfase (pico de audio + energia de movimento) ao longo do video.
Gera CANDIDATOS. Quem decide sao os principios do §3.1 e a semantica do
transcript: "a medicao gera candidatos, os principios decidem".
tools/emphasis.py <fonte.mp4> <transcript.json> [--win 4]
"""
from __future__ import annotations
import argparse, json, re, subprocess, sys
from pathlib import Path
import numpy as np
SR, FPS = 16000, 30
def main():
ap = argparse.ArgumentParser()
ap.add_argument("src")
ap.add_argument("transcript")
ap.add_argument("--win", type=float, default=4.0, help="janela do resumo (s)")
a = ap.parse_args()
p = subprocess.run(["ffmpeg", "-v", "error", "-i", a.src, "-map", "0:a", "-ac", "1",
"-ar", str(SR), "-f", "s16le", "-"], capture_output=True, check=True)
au = np.frombuffer(p.stdout, dtype=np.int16).astype(np.float32) / 32768.0
p2 = subprocess.run(
["ffmpeg", "-hide_banner", "-i", a.src, "-vf",
"scale=240:-1,tblend=all_mode=difference,signalstats,"
"metadata=print:key=lavfi.signalstats.YAVG", "-f", "null", "-"],
capture_output=True, text=True)
yavg = np.array([float(m) for m in re.findall(r"YAVG=([0-9.]+)", p2.stderr)])
W = [w for w in json.loads(Path(a.transcript).read_text())["words"]
if w.get("type") == "word"]
dur = len(au) / SR
T = np.arange(0.0, dur - 0.7, 0.25)
apk, mot = [], []
for t in T:
w = au[int(t * SR):int((t + 0.7) * SR)]
apk.append(20 * np.log10(np.abs(w).max() + 1e-6) if len(w) else -90)
k0, k1 = int(t * FPS), int((t + 0.7) * FPS)
mot.append(yavg[k0:k1].mean() if k1 <= len(yavg) and k1 > k0 else 0.0)
apk, mot = np.array(apk), np.array(mot)
z = lambda x: (x - np.percentile(x, 10)) / (np.percentile(x, 95) - np.percentile(x, 10) + 1e-9)
score = np.clip(z(apk), 0, 1.4) + np.clip(z(mot), 0, 1.4)
print(f"duracao {dur:.2f}s · audio pico p50 {np.percentile(apk,50):.1f} "
f"p95 {np.percentile(apk,95):.1f} dBFS · movimento p50 "
f"{np.percentile(mot,50):.2f} p95 {np.percentile(mot,95):.2f}")
print(f"\n{'janela':>13} {'score':>6} {'@':>7} {'aud':>6} {'mov':>5} texto")
for t0 in np.arange(0, dur, a.win):
m = (T >= t0) & (T < t0 + a.win)
if not m.any():
continue
i = int(np.argmax(np.where(m, score, -9)))
txt = " ".join(w["text"] for w in W if t0 <= w["start"] < t0 + a.win)[:58]
bar = "#" * int(score[m].max() * 10)Bash
{
"command": "~/Developer/video-use/.venv/bin/python \"[oculto]/Video Edit/tools/emphasis.py\" video1.mp4 edit/transcripts/video1.json --win 5 2>&1 | head -60",
"description": "Measure emphasis across the video",
"timeout": 300000
}duracao 215.91s · audio pico p50 -0.0 p95 -0.0 dBFS · movimento p50 0.87 p95 1.59
janela score @ aud mov texto
0.0- 5.0 2.40 0.75 -0.0 2.22 ######################## Ah, som gravando agora, 200 passageiros, mensageiros, aliá
5.0- 10.0 2.25 9.75 -0.0 1.89 ###################### vamo lá. Até o começo dos anos 90, agência de viagem funci
10.0- 15.0 2.32 10.25 -0.0 1.93 ####################### com a tropa de mensageiros andando pra cima e pra baixo de
15.0- 20.0 1.89 16.00 -0.0 1.47 ################## Em algumas grandes agências, havia algumas dezenas de mens
20.0- 25.0 1.47 23.00 -0.0 1.03 ############## o dia inteiro. Aí chegou um sistema chamado Galileu.
25.0- 30.0 1.43 26.50 -0.0 0.98 ############## Antes do Galileu, a operação era assim: o cliente ligava n
30.0- 35.0 1.68 31.50 0.0 1.25 ################ uma passagem. O agente então ligava na companhia aérea por
35.0- 40.0 1.38 39.00 -0.0 0.97 ############# esperava a confirmação, mandava o mensageiro pegar o bilhe
40.0- 45.0 1.94 41.50 -0.0 1.53 ################### aérea, o mensageiro voltava de bicicleta, o agente ligava
45.0- 50.0 1.64 49.75 -0.0 1.26 ################ outro mensageiro entregar o bilhete na casa desse cliente.
50.0- 55.0 1.80 50.00 -0.0 1.45 ################# única venda, era no mínimo dois, três mensageiros, quatro
55.0- 60.0 1.74 55.75 -0.0 1.32 ################# quase meio dia de trabalho. Por isso, as agências tinham u
60.0- 65.0 2.40 61.50 -0.0 2.23 ######################## desses mensageiros. Em 1992, a Maria Luiza Rodenburg,
65.0- 70.0 1.78 69.00 -0.0 1.36 ################# a mesma que depois traria a Starbucks aqui pro Brasil, iss
70.0- 75.0 1.78 71.50 -0.0 1.36 ################# pra um outro vídeo, foi contratada pra implementar o siste
75.0- 80.0 1.79 76.50 -0.0 1.37 ################# Era um sistema computadorizado de reservas globais. A prop
80.0- 85.0 2.28 84.50 -0.0 2.11 ###################### era muito simples, mas ousada: três máquinas zero quilômet
85.0- 90.0 2.06 86.00 -0.0 1.65 #################### instaladas, conexão montada, treinamento dos funcionários.
90.0- 95.0 2.15 90.50 -0.0 1.75 ##################### de quinhentas reservas por mês. Em alguns escritórios, ela
95.0-100.0 1.59 98.00 -0.0 1.16 ############### que colocava o mouse no chão pra acionar com o pé, como se
100.0-105.0 1.71 103.50 -0.0 1.28 ################# não sabiam sequer o que era aquilo. Em dois anos, mais
105.0-110.0 1.71 107.50 -0.0 1.28 ################# de quatrocentas agências aderiram e um exército de mensage
110.0-115.0 1.90 110.25 -0.0 1.49 ################### de uma só vez. Quem entendeu que o Galileu
115.0-120.0 1.96 117.50 -0.1 1.74 ################### não era inimigo, era, na verdade, uma extensão da agência,
120.0-125.0 1.27 123.75 -0.0 0.81 ############ em outro patamar. Quem ficou do jeito antigo, mandando men
125.0-130.0 1.23 128.00 -0.0 0.77 ############ simplesmente desapareceu. Ou você conhece alguma agência q
130.0-135.0 1.23 131.75 -0.0 0.78 ############ tem o seu mensageiro. Em 92, o mensageiro era de bicicleta
135.0-140.0 2.10 138.00 -0.0 1.70 ####…raciocínio interno
I notice the audio peak is clipped at -0.0 dBFS throughout, meaning it's been normalized/limited hard — so the peak signal is useless here and the score is really being driven by motion energy alone, which is an important finding. Since peak is saturated, I should switch to RMS for vocal emphasis instead and compute a better emphasis measure based on that.
Achado importante: o pico de áudio está grudado em −0,0 dBFS no vídeo inteiro — o áudio já veio limitado/normalizado, então o sinal de pico do método do perfil é inútil aqui (só sobrou a energia de movimento). Vou trocar por RMS, que ainda discrimina.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json,subprocess,re\nimport numpy as np\nSR,FPS=16000,30\nsrc=\"video1.mp4\"\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",src,\"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\nau=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\np2=subprocess.run([\"ffmpeg\",\"-hide_banner\",\"-i\",src,\"-vf\",\"scale=240:-1,tblend=all_mode=difference,signalstats,metadata=print:key=lavfi.signalstats.YAVG\",\"-f\",\"null\",\"-\"],capture_output=True,text=True)\nyavg=np.array([float(m) for m in re.findall(r\"YAVG=([0-9.]+)\",p2.stderr)])\nW=[w for w in json.load(open('edit/transcripts/video1.json'))['words'] if w.get('type')=='word']\n\n# segmentos candidatos definidos por ancoras retoricas (tempo de fonte)\nSEG=[\n (6.39,13.10,\"HOOK anos 90 / tropa de mensageiros\"),\n (13.10,20.30,\"dezenas de mensageiros o dia inteiro\"),\n (20.30,24.90,\"AI CHEGOU UM SISTEMA CHAMADO GALILEU\"),\n (25.49,33.00,\"antes do Galileu a operacao era assim\"),\n (33.00,41.00,\"ligava na aerea, reserva, confirmacao\"),\n (41.00,48.00,\"mensageiro voltava de bicicleta\"),\n (48.00,55.20,\"ENUMERACAO dois, tres mensageiros\"),\n (55.20,60.20,\"exercito desses mensageiros\"),\n (60.20,66.00,\"EM 1992 Maria Luiza Rodenburg\"),\n (66.00,74.00,\"a mesma que traria a Starbucks\"),\n (74.00,80.00,\"sistema computadorizado de reservas\"),\n (80.00,86.00,\"PROPOSTA simples mas ousada\"),\n (86.00,93.00,\"em troca 500 reservas por mes\"),\n (93.00,100.00,\"mouse no chao, maquina de costura\"),\n (100.00,104.40,\"nao sabiam o que era aquilo\"),\n (104.40,112.12,\"400 AGENCIAS / EXERCITO DISPENSADO\"),\n (113.61,121.00,\"quem entendeu, extensao da agencia\"),\n (121.00,128.00,\"quem ficou do jeito antigo desapareceu\"),\n (128.00,133.00,\"CADA GERACAO TEM O SEU MENSAGEIRO\"),\n (133.00,139.00,\"em 2026 o mensageiro e digital\"),\n (139.00,145.93,\"a funcao e a mesma, a tecnologia mudou\"),\n (195.39,201.00,\"AGORA ME CONTA / GALILEU DE 2026\"),\n (201.00,207.00,\"aceitaria implementar ou virar as costas\"),\n (207.00,212.24,\"SINDROME DE GABRIELA nasci assim\"),\n (159.45,165.00,\"eu sou Rafael Santos\"),\n (165.00,169.75,\"CTA ja me segue\"),\n]\nrows=[]\nfor a,b,lab in SEG:\n w=au[int(a*SR):int(b*SR)]\n rms=20*np.log10(np.sqrt((w**2).mean())+1e-9)\n k0,k1=int(a*FPS),int(b*FPS)\n mot=yavg[k0:k1].mean() if k1<=len(yavg) else 0.0\n rows.append([a… ini fim dur rms mov score rank texto
6.39 13.10 6.7 -11.7 1.43 1.69 # 1 HOOK anos 90 / tropa de mensageiros
13.10 20.30 7.2 -12.1 1.03 1.03 # 9 dezenas de mensageiros o dia inteiro
20.30 24.90 4.6 -12.9 0.85 0.49 #23 AI CHEGOU UM SISTEMA CHAMADO GALILEU
25.49 33.00 7.5 -12.1 0.77 0.73 #16 antes do Galileu a operacao era assim
33.00 41.00 8.0 -13.2 0.85 0.32 #25 ligava na aerea, reserva, confirmacao
41.00 48.00 7.0 -12.4 1.01 0.90 #10 mensageiro voltava de bicicleta
48.00 55.20 7.2 -12.9 0.90 0.51 #22 ENUMERACAO dois, tres mensageiros
55.20 60.20 5.0 -12.5 1.01 0.85 #11 exercito desses mensageiros
60.20 66.00 5.8 -12.3 1.26 1.22 # 7 EM 1992 Maria Luiza Rodenburg
66.00 74.00 8.0 -11.9 1.01 1.13 # 8 a mesma que traria a Starbucks
74.00 80.00 6.0 -12.6 0.94 0.74 #15 sistema computadorizado de reservas
80.00 86.00 6.0 -13.0 1.21 0.83 #12 PROPOSTA simples mas ousada
86.00 93.00 7.0 -12.4 1.29 1.22 # 6 em troca 500 reservas por mes
93.00 100.00 7.0 -12.5 0.79 0.60 #20 mouse no chao, maquina de costura
100.00 104.40 4.4 -12.2 0.70 0.59 #21 nao sabiam o que era aquilo
104.40 112.12 7.7 -12.4 0.93 0.78 #13 400 AGENCIAS / EXERCITO DISPENSADO
113.61 121.00 7.4 -11.2 1.03 1.48 # 3 quem entendeu, extensao da agencia
121.00 128.00 7.0 -11.8 0.61 0.67 #18 quem ficou do jeito antigo desapareceu
128.00 133.00 5.0 -12.2 0.59 0.47 #24 CADA GERACAO TEM O SEU MENSAGEIRO
133.00 139.00 6.0 -13.1 0.80 0.31 #26 em 2026 o mensageiro e digital
139.00 145.93 6.9 -12.5 0.87 0.70 #17 a funcao e a mesma, a tecnologia mudou
195.39 201.00 5.6 -11.2 1.05 1.47 # 4 AGORA ME CONTA / GALILEU DE 2026
201.00 207.00 6.0 -11.0 1.01 1.51 # 2 aceitaria implementar ou virar as costas
207.00 212.24 5.2 -11.8 0.58 0.66 #19 SINDROME DE GABRIELA nasci assim
159.45 165.00 5.6 -11.1 0.85 1.29 # 5 eu sou Rafael Santos
165.00 169.75 4.8 -12.5 0.94 0.77 #14 CTA ja me segueraciocínio interno
The measurement ranks "cada geração tem o seu mensageiro" and "em 2026 o mensageiro é digital" near the bottom, but those are actually the thesis of the video — delivered quietly, which is exactly why the signals underrate them. This confirms measurement only generates candidates; semantic judgment has to override it and drive the zoom ladder.
I'm mapping out the semantic hierarchy: the climax thesis line, the historical payoff about the 400 agencies, the provocation questions, the turning point with Galileu, and the proposal with the machines and reservations. Since the user wants at least 25% zoom on emphasis moments, I'll set those key points to 1.25× while reserving the single highest peak for the true climax, consistent with the idea that there's only one climax.
I'm now working out the zoom levels: the lone climax gets 1.32×, intermediate punches sit between 1.08-1.16×, and the base stays around 1.00-1.05×. Since 1.32× on a 1080p source means cropping and upscaling, I'm flagging that as noticeably soft but acceptable on a phone screen with lanczos scaling.
For the jump cuts, I'm balancing apparent head size across transitions — giving the climax segment a high zoom before resetting to 1.00 at the next structural pause, and compensating the D-to-E transition with a higher zoom on E since he appears smaller there, while also considering the CTA's framing.
Now I'm thinking through the overlay titles — the user wants a Liquid Glass style title in the opening seconds reflecting the video's theme, plus highlights using HyperFrames Liquid Glass. Given the video's focus on the Galileu system and "cada geração tem o seu mensageiro," I'm drafting a title card with that phrase as the headline and a subtitle tying it to what the system teaches about 2026.
I'm also mapping out the other overlay slots: one showing the old manual process stats (messengers, phone calls, half a day per sale) around 48-56s, a lower-third identity card for Maria Luiza Rodenburg and the Galileu system around 60-66s, a proposal comparison (machines/installation/training vs. monthly bookings) around 80-92s, and a payoff stat about agency growth over two years.
Now I'm weighing whether 6 overlay slots is too many given the 8GB RAM constraint — compositing six 1080×1920 yuva streams could risk SIGKILL under memory pressure, especially since the reference only used 3 slots on a similar-length source. I'm leaning toward trimming down to 5 slots to stay safe.
Merging into one ProRes 4444 stream would be too large on disk, so instead I'll keep 4-5 overlay slots and let the build script handle it, falling back to a two-pass composite if it gets SIGKILLed. I'll go with 5 slots as the plan.
Now I want to write up the strategy for confirmation, flagging key issues: the source is already native resolution so any zoom would mean upscaling, there's no subtitle burn-in since ffmpeg lacks libass (I'll generate a master.srt instead), and I need to note the restructuring approach.
I should use the better retake and move the signature to the end, then present this for confirmation. Before proposing a grade, I need to reconfirm measurements since this source has heavy green wall lighting that's very different from the reference set — let me measure the skin tone ratios first.
A medição confirma um ponto do perfil: ela gera candidatos, não decisões. "Cada geração tem o seu mensageiro" ficou em #24 e "em 2026 o mensageiro é digital" em #26 — os dois mais baixos — porque ele entrega a tese em voz baixa. É exatamente a tese do vídeo. A semântica vai mandar aqui.
Vou medir a cor antes de propor o grade (o set tem luz verde forte, bem diferente do vídeo de referência).
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nW,H=1080,1920\ndef frame(t):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"video1.mp4\",\"-frames:v\",\"1\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"rgb24\",\"-\"],capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.uint8).reshape(H,W,3).astype(np.float32)\n# regioes: pele (bochecha), camiseta (cinza claro ~neutro), parede direita (fora do verde)\nregions={\"pele\":(560,610,470,530),\"camiseta\":(1150,1250,430,650),\"teto\":(150,200,700,900)}\nacc={k:[] for k in regions}\nfor t in [40,90,130,200]:\n f=frame(t)\n for k,(y0,y1,x0,x1) in regions.items():\n acc[k].append(f[y0:y1,x0:x1].reshape(-1,3).mean(0))\nprint(f\"{'regiao':>10} {'R':>7} {'G':>7} {'B':>7} {'R/G':>6} {'B/G':>6}\")\nfor k,v in acc.items():\n r,g,b=np.mean(v,axis=0)\n print(f\"{k:>10} {r:7.1f} {g:7.1f} {b:7.1f} {r/g:6.3f} {b/g:6.3f}\")\nPY",
"description": "Measure color ratios in skin, shirt, ceiling",
"timeout": 180000
} regiao R G B R/G B/G
pele 53.3 59.6 58.1 0.894 0.975
camiseta 172.3 170.3 178.1 1.012 1.046
teto 135.8 125.6 81.0 1.081 0.645raciocínio interno
That sample region was too dark to be skin, likely background or hair, so I need to relocate his face. Scaling from the 640-wide frame where his cheek was around x≈300, y≈470, I'm converting to the 1080-wide frame using a 1.6875 scale factor, landing around x≈506, y≈793.
Let me try sampling the cheek area again around y=760-820, x=460-560 to get a better read.
A região que amostrei não pegou a pele. Vou localizar o rosto direito.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nW,H=1080,1920\ndef frame(t):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"video1.mp4\",\"-frames:v\",\"1\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"rgb24\",\"-\"],capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.uint8).reshape(H,W,3).astype(np.float32)\nf=frame(90)\n# varre a metade superior procurando blocos com luminancia media e R>G>B (pele)\nbest=[]\nfor y in range(400,1100,40):\n for x in range(300,800,40):\n blk=f[y:y+40,x:x+40].reshape(-1,3).mean(0)\n r,g,b=blk; lum=(r+g+b)/3\n if 70<lum<190 and r>g>b:\n best.append((lum,y,x,r,g,b))\nbest.sort(reverse=True)\nprint(\"blocos candidatos a pele (R>G>B):\")\nfor lum,y,x,r,g,b in best[:12]:\n print(f\" y={y:4d} x={x:4d} R{r:6.1f} G{g:6.1f} B{b:6.1f} R/G {r/g:.3f} B/G {b/g:.3f}\")\nPY",
"description": "Locate skin regions by scanning for R>G>B blocks",
"timeout": 180000
}blocos candidatos a pele (R>G>B):
y= 840 x= 460 R 194.3 G 154.2 B 150.5 R/G 1.260 B/G 0.976
y= 680 x= 580 R 187.8 G 150.5 B 148.7 R/G 1.248 B/G 0.988
y= 640 x= 580 R 187.7 G 151.6 B 142.7 R/G 1.238 B/G 0.942
y= 840 x= 500 R 188.9 G 147.2 B 143.0 R/G 1.283 B/G 0.971
y= 960 x= 540 R 189.1 G 144.7 B 144.1 R/G 1.307 B/G 0.996
y= 640 x= 540 R 186.4 G 151.3 B 140.2 R/G 1.232 B/G 0.927
y= 880 x= 460 R 188.2 G 148.2 B 141.3 R/G 1.270 B/G 0.953
y= 800 x= 460 R 187.7 G 148.2 B 136.3 R/G 1.266 B/G 0.920
y= 960 x= 500 R 188.0 G 145.5 B 138.0 R/G 1.292 B/G 0.948
y=1080 x= 460 R 177.4 G 148.4 B 143.7 R/G 1.196 B/G 0.968
y= 640 x= 620 R 182.7 G 144.2 B 135.4 R/G 1.267 B/G 0.939
y=1040 x= 460 R 181.0 G 143.6 B 132.4 R/G 1.260 B/G 0.922raciocínio interno
Checking the skin tone ratios against the pele profile targets, R/G is already within range so there's no red excess, but B/G is running high relative to the target, suggesting green is deficient compared to blue — which per the profile's logic could indicate a magenta cast forming.
Testing the N2 grade against the profile's own B/G≳0.95 criterion confirms it technically applies, but applying its correction factors would push R/G too low, making skin look too pale and green. So I'm working out a custom correction instead — nudging R/G up slightly while pulling B/G down — but I need to be careful since the whole scene is already bathed in green LED light, so boosting green further risks amplifying that cast. I'm cross-checking against the ceiling/wall reference, which reads notably warm and yellow.
Checking the shirt as a neutral reference confirms the same pattern seen in skin: red and green are balanced, but blue runs consistently high by about 5-10%, pointing to a mild cool cast from the green LED spill affecting white balance. I'm settling on a correction that pulls blue down roughly 8% while leaving red alone and trimming green slightly to preserve luminance, then verifying the resulting ratios land close to target for both shirt and skin.
Since full neutralization risks looking artificial, I'm dialing the correction back to about 70% strength, landing on a gentle blue-pull adjustment that reads as a correction rather than a stylistic look.
I'll verify this visually during execution rather than overthinking it now. Next I need to write up the strategy for the user per Hard Rule 11, noting the total runtime estimate of about 2:45 and confirming loudnorm will handle the audio level issue before presenting the plan.
Medição de cor concluída. Agora tenho tudo para propor a estratégia.
Pele: R/G 1,26 · B/G 0,96 — Camiseta (cinza de referência): R/G 1,01 · B/G 1,05
Os dois concordam: o vermelho está correto, o azul está ~5–8% alto. Não é a dominante magenta do perfil do HD — aqui é spill do LED verde puxando o eixo azul-verde. O grade N2 do perfil derrubaria o vermelho para R/G 1,13 e deixaria a pele lavada. Vou derivar um específico.
Estratégia proposta
O corte. O vídeo se auto-edita: em 2:50 você fala com o editor ("vou só ajustar aqui, Solon... pra finalizar melhor a provocação") e regrava o final duas vezes. Então:
| # | O quê | Fonte | Ação |
|---|---|---|---|
| 1 | Slate + "200 passageiros, mensageiros, aliás" | 0–6,4s | fora |
| 2 | Hook → história → payoff das 400 agências | 6,4–112s | mantém |
| 3 | Lição + tese "cada geração tem o seu mensageiro" | 113,6–145,9s | mantém |
| 4 | Provocação v1 | 145,9–158,2s | fora (você a substituiu) |
| 5 | Fala com o editor + retake falho + "vou de novo" | 170,8–192,3s | fora |
| 6 | Provocação v3 — a boa, com a síndrome de Gabriela | 195,4–212,2s | entra no lugar da v1 |
| 7 | Assinatura + CTA | 159,5–169,8s | vai para o fim |
| 8 | "Aí segue pro final, fechou?" | 214–215,2s | fora |
Mais 2 silêncios estruturais (0,6s e 1,5s). Resultado: 3:36 → ~2:45.
Preservo de propósito as pausas curtas da enumeração ("dois, três mensageiros, quatro telefonemas") e a pausa dramática antes de "mais de quatrocentas agências" — ali a cadência é o efeito.
O zoom. Base 1,00, escada por ênfase semântica, troca sempre na emenda. Os pontos ≥25%: o payoff das 400 agências, a tese "em 2026 o mensageiro é digital" (clímax, 1,32×), e a provocação final. Uso a escada também para disfarçar as duas emendas de remontagem — em 195s você está bem mais perto da câmera, então entro baixo ali; em 159s mais recuado, então entro alto.
Os overlays. HyperFrames, receita de vidro do perfil aprovado, banda superior, composite fosco no ffmpeg — o desfoque sai do próprio frame do vídeo, exatamente como você pediu. 5 slots:
- Título (~7s) — "Cada geração tem o seu mensageiro" / "O que o sistema Galileu ensina sobre 2026"
- O custo de uma venda (~50s) — 2–3 mensageiros · 4 telefonemas · meio dia
- 1992 · Maria Luiza Rodenburg (~62s) — lower third
- A proposta (~84s) — 3 máquinas + treinamento ⇄ 500 reservas/mês
- O payoff (~106s) — +400 agências em 2 anos
Legenda: gero o master.srt mas não queimo — seu ffmpeg não tem libass e você prefere legendar por conta.
Dois pontos que preciso sinalizar antes de executar:
1. Não há folga de resolução para o zoom. A fonte é 1080×1920 nativo (não é 4K). No perfil do HD o zoom é lossless porque a fonte tem 2× de folga — aqui não tem. Um zoom de 1,25× recorta 864×1536 e reamplia para 1080×1920; o clímax em 1,32× recorta 818×1454. Vai haver perda real de nitidez nesses trechos. Uso lanczos para minimizar, e em tela de celular passa bem, mas não é o corte de pixel nativo do perfil.
2. O áudio já veio limitado — pico grudado em −0,0 dBFS no vídeo inteiro. Não dá para usar pico como sinal de ênfase (usei RMS), e a normalização final para −14 LUFS não vai recuperar dinâmica que já foi perdida na gravação.
AskUserQuestion
{
"questions": [
{
"question": "Aprova a estrutura de corte (remontar o final com o retake bom)?",
"header": "Corte",
"multiSelect": false,
"options": [
{
"label": "Aprovo, pode seguir",
"description": "Corta slate, provocação v1, fala com o editor e o retake falho. Move a assinatura para o fim, depois da provocação v3. Resultado ~2:45."
},
{
"label": "Mantém a ordem original",
"description": "Corta os erros e a fala com o editor, mas não remonta: a assinatura fica onde está (antes da provocação v3). O vídeo terminaria na síndrome de Gabriela."
}
]
},
{
"question": "Sobre o zoom sem folga de resolução — como prefere?",
"header": "Zoom",
"multiSelect": false,
"options": [
{
"label": "25% e clímax 32%, como pedi",
"description": "Respeita o que você pediu. Perda de nitidez visível nos trechos de ênfase, aceitável em tela de celular. Uso lanczos para suavizar o custo."
},
{
"label": "Teto em 25%, sem clímax maior",
"description": "Todos os pontos de ênfase em 1,25×, nenhum passa disso. Menos perda, mas a tese e a provocação ficam no mesmo peso visual dos demais."
},
{
"label": "Me mostra um teste antes",
"description": "Renderizo um trecho curto em 1,00×, 1,25× e 1,32× para você comparar a nitidez, e só depois fecho a escada."
}
]
},
{
"question": "O título do card de abertura",
"header": "Título",
"multiSelect": false,
"options": [
{
"label": "Cada geração tem o seu mensageiro",
"description": "A tese do vídeo, dita por você em 2:08. Subtítulo: 'O que o sistema Galileu ensina sobre 2026'. Entrega o tema sem spoiler do payoff."
},
{
"label": "O Galileu de 2026",
"description": "Mais curto e direto, ecoa a provocação final. Subtítulo: 'A tecnologia que dispensou um exército de mensageiros'."
},
{
"label": "Eu escrevo o título",
"description": "Você me passa o texto exato do card de abertura e eu uso ele."
}
]
}
]
}Your questions have been answered: "Aprova a estrutura de corte (remontar o final com o retake bom)?"="Aprovo, pode seguir", "Sobre o zoom sem folga de resolução — como prefere?"="25% e clímax 32%, como pedi", "O título do card de abertura"="O Galileu de 2026". You can now continue with these answers in mind.raciocínio interno
With approval given, I'm planning to write the EDL with zoom ranges and overlays, adapt the build script for this project's 1080×1920 source, and then build five HyperFrame slots. But I'm noticing a tension between my system prompt's restriction on calling the Agent tool unprompted and the video skill's hard rule requiring parallel sub-agents for multiple animations — I need to reconcile that before proceeding.
Given the explicit harness-level instruction against spawning agents without user request, I'll build the five slots myself sequentially rather than in parallel, which also aligns with the project's guidance to render one slot at a time given the 8GB RAM constraint. I'm now laying out the zoom ladder across the kept audio segments, mapping out the timing blocks that define each cut.
For block A (6.39 to 24.90), I'm planning three zoom segments: the opening stays locked at 1.00 through the title overlay period, then steps up to 1.08 for the next phrase, then punches to 1.16 at the key turning point where "Galileu" is introduced — checking word boundaries to make sure the zoom transitions land cleanly between phrases rather than mid-word.
Now I'm mapping block B (25.49 to 112.12), alternating zoom levels between 1.00 and roughly 1.04-1.12 across each phrase segment, making sure to lock the zoom steady wherever an overlay slot appears — like the enumeration list around 48-56s and the "Maria Luiza Rodenburg" introduction near 60-66s — while double-checking the slot timing boundaries don't conflict with my proposed cut points.
Continuing through the remaining blocks, I'm tightening slot_4 to 81.5-90.5 and locking segment 80.00-92.00 at 1.06. B10 carries the vivid "mouse no chão" image with a punchy delivery, B11 is a quieter transitional beat, and B12 lands the payoff line about four hundred agencies joining at a higher intensity of 1.25.
For the payoff segment, slot_5 covers roughly 105-112, so I'm locking it at 1.25 since the profile calls for locking zoom during a block with an animated overlay, and punching is fine as long as it happens during the hold rather than the entry or exit. I'm double-checking whether 1.25 is too aggressive while the overlay is active — the band sits at the top 60px, 372px tall, and with the Y_BIAS of 0.28 the head rises as zoom increases, though the profile already validated that the band clears the head at 1.10.
Now I'm mapping out Block C, spanning 113.61 to 145.93 seconds, breaking it into beats: a clean re-entry at z=1.00 after a structural pause, rising through z=1.08 and z=1.16 for the build-up lines, then hitting the climax at z=1.32 around 133-139s with the key line about the 2026 messenger being digital, before continuing into the next beat past 139.00.
I'm second-guessing whether to add a sixth overlay slot for the 92→2026 messenger contrast, but deciding to stick with the agreed 5 slots — letting the climax at z=1.32 play without an overlay so the face carries the moment. I want to double-check the head framing at that tightest crop point.
Moving into Block D (195.39→212.24s), I'm planning the zoom progression: a reset at z=1.00 to compensate for the edit, pushing to z=1.10 for the "você aceitaria implementar" line, then tightening to z=1.25 for the starred "síndrome de Gabriela" moment. For Block E (159.45→169.75s), I'm setting a higher starting zoom at z=1.14 since he's positioned further back there, building to z=1.20 for the closing call-to-action.
Now I'm verifying the constraints hold: only one true climax at z=1.32 (the thesis statement), the opening correctly starts at z=1.00, and all three main emphasis points — the 400 agências payoff, the thesis, and the síndrome de Gabriela line — hit at least 1.25 as required. I'm also tallying up the total runtime across all 23 segments to check the pacing rhythm, landing around 164.6 seconds total, roughly 7.2 seconds per segment on average.
That matches the target cadence of 5-8 seconds per beat. Now I need to check that each punch point lands near a sensible word boundary, even though punches don't have to align exactly with cuts, so I'm pulling up the words around each punch time before finalizing the EDL.
Aprovado. Vou executar. Primeiro fixo a escada de zoom nas palavras exatas.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\nW=[x for x in json.load(open('edit/transcripts/video1.json'))['words'] if x.get('type')=='word']\ndef snap(t):\n \"\"\"acha a fronteira de palavra mais proxima (fim de palavra anterior / inicio da proxima)\"\"\"\n best=None\n for i,(a,b) in enumerate(zip(W,W[1:])):\n for cand,lab in ((a['end'],f\"apos '{a['text']}'\"),(b['start'],f\"antes de '{b['text']}'\")):\n d=abs(cand-t)\n if best is None or d<best[0]: best=(d,cand,lab)\n return best\nfor t in [14.00,20.30,33.00,41.00,48.00,56.00,60.20,68.00,74.00,80.00,92.00,100.00,\n 104.40,121.00,128.00,133.00,139.00,201.00,207.00,165.00]:\n d,c,lab=snap(t)\n print(f\" alvo {t:7.2f} -> {c:7.2f} ({lab})\")\nPY",
"description": "Snap punch points to word boundaries"
} alvo 14.00 -> 13.94 (antes de 'baixo')
alvo 20.30 -> 20.28 (antes de 'o')
alvo 33.00 -> 33.10 (apos 'aérea')
alvo 41.00 -> 40.90 (antes de 'mensageiro')
alvo 48.00 -> 47.98 (antes de 'desse')
alvo 56.00 -> 56.10 (apos 'quase')
alvo 60.20 -> 60.44 (apos 'exército')
alvo 68.00 -> 67.98 (apos 'a')
alvo 74.00 -> 74.20 (apos 'Galileu')
alvo 80.00 -> 79.84 (antes de 'agências')
alvo 92.00 -> 92.00 (antes de 'por')
alvo 100.00 -> 99.96 (antes de 'Eles')
alvo 104.40 -> 104.06 (apos 'anos,')
alvo 121.00 -> 120.94 (antes de 'patamar.')
alvo 128.00 -> 127.98 (antes de 'trabalhe')
alvo 133.00 -> 133.00 (apos 'o')
alvo 139.00 -> 139.18 (apos 'agente')
alvo 201.00 -> 200.72 (antes de 'aceitaria')
alvo 207.00 -> 207.26 (apos 'confortável')
alvo 165.00 -> 164.84 (antes de 'cliente')raciocínio interno
Some of the snapped cut points land awkwardly mid-phrase, so I want to double-check the timing against the actual text. I'm tracking down exact timestamps for phrases like "Aí chegou um sistema chamado Galileu" and the point before "trabalhe" to get cleaner rhetorical anchors.
I need to pin down more exact timestamps — before "Cada geração tem o seu mensageiro", after "o" in "Em 2026, o mensageiro é digital", and reconsidering where "A função é a mesma" actually falls relative to "agente". I'll dump the detailed timing for the 120-146 and 20-26 second regions to nail these down.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\nW=[x for x in json.load(open('edit/transcripts/video1.json'))['words'] if x.get('type')=='word']\ndef rng(a,b,label):\n print(f\"--- {label} ---\")\n line=[]\n for x in W:\n if a<=x['start']<b: line.append(f\"{x['text']}[{x['start']:.2f}]\")\n print(\" \"+\" \".join(line))\nrng(20,26,\"virada Galileu\")\nrng(120,146,\"licao + tese\")\nrng(195,213,\"provocacao v3\")\nrng(159,170,\"assinatura\")\nPY",
"description": "Dump detailed word timings for key regions"
}--- virada Galileu ---
o[20.28] dia[20.46] inteiro.[20.70] Aí[21.32] chegou[22.00] um[22.28] sistema[22.40] chamado[22.88] Galileu.[23.68] Antes[25.54] do[25.82] Galileu,[25.94]
--- licao + tese ---
em[120.42] outro[120.62] patamar.[120.94] Quem[121.78] ficou[121.94] do[122.34] jeito[122.50] antigo,[122.74] mandando[123.44] mensageiro[123.78] de[124.26] bicicleta,[124.36] simplesmente[125.10] desapareceu.[125.80] Ou[126.76] você[126.86] conhece[127.06] alguma[127.34] agência[127.58] que[127.90] trabalhe[127.98] assim[128.36] ainda?[128.66] Cada[129.50] geração[129.82] tem[130.58] o[130.90] seu[131.08] mensageiro.[131.28] Em[132.10] 92,[132.36] o[132.96] mensageiro[133.04] era[133.68] de[133.80] bicicleta.[133.88] Em[134.58] 2026,[135.02] o[135.88] mensageiro[135.96] é[136.82] digital.[136.90] É[138.28] o[138.36] agente[138.42] que[139.22] ainda[139.64] só[140.20] aperta[140.36] botão[140.86] pelo[141.58] cliente.[141.82] A[142.66] função[142.76] é[143.30] a[143.38] mesma,[143.48] a[144.02] tecnologia[144.18] que[145.16] mudou.[145.30] Agora[145.72] me[145.96]
--- provocacao v3 ---
Agora[195.44] me[195.70] conta,[195.90] agente,[196.32] o[196.66] que[196.78] você[196.86] acha[197.08] que[197.30] é[197.44] o[197.52] Galileu[197.60] de[198.00] 2026.[198.26] Se[199.22] ele[199.32] batesse[199.44] na[199.82] sua[199.96] porta,[200.16] você[200.46] aceitaria[200.72] implementar[201.50] essa[202.36] inovação[202.52] ou[203.24] você[203.36] iria[203.64] virar[203.92] as[204.30] costas[204.56] e[205.10] dizer:[205.20] "Eu[205.57] estou[205.70] muito[205.96] confortável[206.16] fazendo[207.32] o[207.68] que[207.78] eu[207.86] sempre[208.04] fiz".[208.52] Né[208.78] a[208.89] síndrome[209.00] de[209.36] Gabriela.[209.46] Nasci[210.12] assim,[210.44] cresci[210.70] assim,[211.04] vou[211.30] morrer[211.40] assim.[211.62]
--- assinatura ---
Eu[159.50] sou[159.62] Rafael[159.76] Santos,[160.14] idealizador[160.78] do[161.58] Agente[161.70] Empreendedor[162.10] e[162.98] aqui[163.04] eu[163.20] mostro[163.34] o[163.70] que[163.78] acontece[163.90] quando[164.48] o[164.72] cliente[164.84] certo[165.32] encontra[165.96] o[166.68] agente[166.76] certo.[167.32] Já[168.00] me[168.14] segue[168.28] para[168.60] ver[168.80] o[168.94] próximo.[169.06]raciocínio interno
I'm mapping out precise timing cuts for each block, marking where the narrative shifts—like the turning point when "Galileu" is introduced—and assigning zoom levels to emphasize pacing at each transition.
Continuing through Block B, I'm locking in slots for key story beats: the 1992 reference to Maria Luiza Rodenburg, the proposta section, and the payoff moment with its sharper zoom.
Then in Block C, I'm building toward the climax, contrasting the old bicycle messenger of '92 with the 2026 digital agent—this is the emotional peak of the piece, so I'm giving it the most dramatic zoom treatment.
Finishing C5 with the resolution line about function staying the same while technology changed, then moving into Block D where I need to reset the zoom to compensate for the edit splice, and I'm second-guessing my anchor point for the "síndrome de Gabriela" quote since 207.32 lands mid-word rather than cleanly on "Né."
Splitting D2/D3 at 208.78 gives a clean 3.46s punch on the punchline, which fits the profile's hold range. Now I'm tallying up segment counts across all blocks — 25 total — and starting to sum the durations to check the overall timeline adds up.
Calculating the crop math at zoom 1.25 with Y_BIAS 0.28, I find the head top lands around y=266 while the overlay band extends to 432, meaning the band would actually overlap part of the head. That's concerning enough that I should verify with an actual measurement rather than estimate, so I'll render test frames at these zoom levels with the band overlaid to check directly.
I also want to reconsider the Y_BIAS value itself — since y offset equals the available slack times Y_BIAS, a smaller value pulls the crop toward the top and preserves more ceiling, while a larger value shifts it down.
Escada fixada em 25 segmentos. Agora vou validar o enquadramento: preciso confirmar que a banda de overlay não invade a cabeça nos zooms altos.
Bash
{
"command": "for z in 1.00 1.25 1.32; do\n~/Developer/video-use/.venv/bin/python - \"$z\" <<'PY'\nimport sys,subprocess\nz=float(sys.argv[1]); SRC_W,SRC_H=1080,1920; Y_BIAS=0.28\neven=lambda n:int(n)//2*2\ncw,ch=even(SRC_W/z),even(SRC_H/z)\nx=even((SRC_W-cw)/2); y=even((SRC_H-ch)*Y_BIAS)\nvf=(f\"crop={cw}:{ch}:{x}:{y},scale=1080:1920:flags=lanczos,\"\n f\"drawbox=x=0:y=60:w=1080:h=372:color=red@0.35:t=fill,\"\n f\"drawbox=x=0:y=1700:w=1080:h=220:color=blue@0.3:t=fill,scale=430:-1\")\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",\"107\",\"-i\",\"video1.mp4\",\"-frames:v\",\"1\",\n \"-vf\",vf,f\"edit/verify/band_z{z:.2f}.jpg\",\"-y\"],check=True)\nprint(f\"z={z} crop {cw}x{ch} @ {x},{y}\")\nPY\ndone; ls edit/verify/band*",
"description": "Render zoom test frames with overlay band guide",
"timeout": 180000
}z=1.0 crop 1080x1920 @ 0,0
z=1.25 crop 864x1536 @ 108,106
z=1.32 crop 818x1454 @ 130,130
edit/verify/band_z1.00.jpg
edit/verify/band_z1.25.jpg
edit/verify/band_z1.32.jpgRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/band_z1.00.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/band_z1.32.jpg"
}[imagem]raciocínio interno
Checking the band position at different zoom levels — at z=1.00 it sits just above his hairline, but by z=1.32 it clearly overlaps the hair. I want to check the z=1.25 case too, and account for the fade mask and card positioning in the layout.
The real conflict is that slot_5's payoff moment needs zoom ≥1.25 per the user's request, but that's exactly where the overlay starts covering the head. I'm considering splitting that segment so the overlay lands on the emphasis text without covering the head during the punchline, and restructuring the surrounding segment boundaries accordingly.
Rather than guessing at band placement, I should actually measure where the hair top falls at each zoom level for this specific shot, since the profile's band height was calibrated for a different framing and explicitly needs revalidation if the zoom ladder changes.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/band_z1.25.jpg"
}[imagem]raciocínio interno
At zoom 1.25 the band's bottom edge barely overlaps his hair, which is close but risky since he moves. I want a hard number, so I'm planning a head-top detector that scans center columns for the topmost dark-hair pixels across many frames, then uses the minimum value across the video to size the band reliably.
O cabelo encosta na borda da banda em 1,25×. Vou medir onde o topo da cabeça fica de fato, ao longo do vídeo inteiro, em vez de estimar.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nW,H=1080,1920\n# amostra 1 frame a cada 4s em fps baixo, so a faixa central de colunas\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"video1.mp4\",\"-vf\",\n \"fps=1/4,crop=460:900:310:120,scale=115:225\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.uint8)\nn=a.size//(115*225); a=a[:n*115*225].reshape(n,225,115).astype(np.float32)\nprint(f\"{n} frames amostrados\")\ntops=[]\nfor k in range(n):\n f=a[k]\n thr=np.percentile(f,18)+8 # cabelo = escuro\n dark=f<thr\n # primeira linha com >=35% de colunas escuras em 3 linhas seguidas\n frac=dark.mean(1)\n hit=None\n for y in range(len(frac)-3):\n if frac[y]>0.35 and frac[y+1]>0.35 and frac[y+2]>0.35:\n hit=y; break\n if hit is not None:\n tops.append(120+hit*(900/225)) # volta pra coords da fonte\nt=np.array(tops)\nprint(f\"topo da cabeca (fonte, y px): min {t.min():.0f} p05 {np.percentile(t,5):.0f} \"\n f\"mediana {np.median(t):.0f} p95 {np.percentile(t,95):.0f} max {t.max():.0f}\")\nprint(f\"\\n{'zoom':>5} {'crop_y':>7} {'topo na saida':>14} banda segura ate\")\nfor z in (1.00,1.04,1.06,1.08,1.10,1.12,1.14,1.18,1.20,1.25,1.32):\n ch=int(H/z)//2*2; y0=int((H-ch)*0.28)//2*2\n top=(t.min()-y0)*z\n print(f\"{z:5.2f} {y0:7d} {top:14.0f} {max(0,top-24):.0f} px\")\nPY",
"description": "Measure head top position across video",
"timeout": 300000
}54 frames amostrados
topo da cabeca (fonte, y px): min 312 p05 320 mediana 384 p95 429 max 520
zoom crop_y topo na saida banda segura ate
1.00 0 312 288 px
1.04 20 304 280 px
1.06 30 299 275 px
1.08 40 294 270 px
1.10 48 290 266 px
1.12 56 287 263 px
1.14 66 280 256 px
1.18 82 271 247 px
1.20 88 269 245 px
1.25 106 258 234 px
1.32 130 240 216 pxraciocínio interno
I've got concrete numbers now: the head top reaches y=312 in the source, and at zoom 1.25 the output head top sits at 258px, so a crop band from 60 to 432 clearly overlaps it. The current Y_BIAS of 0.28 doesn't leave much headroom since the subject is already positioned high in the frame, so I'm weighing whether increasing Y_BIAS to shift the crop start higher would push the subject down enough to fix this.
Working through the math, a Y_BIAS near zero is too aggressive since it crops everything off the bottom. Instead I try shrinking the band itself — top at 60px with 170px height, bottom at 230px — which gives 28px clearance at z=1.25 but only 10px at z=1.32. Since the max zoom with an overlay is actually 1.25 (slot_5, as 1.32 belongs to the climax with no overlay), this band configuration should work.
But a 170px band feels short for a title card with a subtitle, so I'm considering varying the band per slot based on each one's specific zoom level: slot_1 at z=1.00 allows a card bottom up to 288px, slot_2 at z=1.10 up to 266px, slot_3 at z=1.12 up to 263px, slot_4 at z=1.06 up to 275px, and slot_5 at z=1.25 up to 234px — all fairly tight constraints clustering around similar bounds.
Rather than fight these tight margins, I'm trying a modest Y_BIAS reduction to 0.12 to gain more room, recalculating the top-out positions for each zoom level to see how much extra band space this frees up.
At z=1.00 the top stays consistent too, confirming Y_BIAS=0.12 with a band starting at 60px and 230px tall works across zoom levels. That's tight for a title card with title and subtitle, but checking the math it should fit — though I'm leaning toward widening the band slightly, maybe starting at 44px for 246px of height, to give more breathing room. Now I want to render test frames to confirm this visually.
Números na mão. Com Y_BIAS=0.28 do perfil a banda invade a cabeça a partir de 1,25×. Vou recalibrar o viés vertical para esta fonte.
Bash erro
{
"command": "for cfg in \"1.25 107\" \"1.32 137\" \"1.00 12\"; do set -- $cfg; z=$1; t=$2\n~/Developer/video-use/.venv/bin/python - \"$z\" \"$t\" <<'PY'\nimport sys,subprocess\nz=float(sys.argv[1]); t=sys.argv[2]; SRC_W,SRC_H=1080,1920; Y_BIAS=0.12\neven=lambda n:int(n)//2*2\ncw,ch=even(SRC_W/z),even(SRC_H/z)\nx=even((SRC_W-cw)/2); y=even((SRC_H-ch)*Y_BIAS)\nvf=(f\"crop={cw}:{ch}:{x}:{y},scale=1080:1920:flags=lanczos,\"\n f\"drawbox=x=0:y=44:w=1080:h=246:color=red@0.38:t=fill,scale=430:-1\")\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",t,\"-i\",\"video1.mp4\",\"-frames:v\",\"1\",\n \"-vf\",vf,f\"edit/verify/yb12_z{z:.2f}.jpg\",\"-y\"],check=True)\nprint(f\"z={z} crop {cw}x{ch} @ {x},{y}\")\nPY\ndone",
"description": "Test recalibrated Y_BIAS with band guide",
"timeout": 180000
}Exit code 1
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
ValueError: could not convert string to float: '1.25 107'
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
ValueError: could not convert string to float: '1.32 137'
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
ValueError: could not convert string to float: '1.00 12'Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess\nSRC_W,SRC_H=1080,1920; Y_BIAS=0.12\neven=lambda n:int(n)//2*2\nfor z,t in [(1.25,\"107\"),(1.32,\"137\"),(1.00,\"12\")]:\n cw,ch=even(SRC_W/z),even(SRC_H/z)\n x=even((SRC_W-cw)/2); y=even((SRC_H-ch)*Y_BIAS)\n vf=(f\"crop={cw}:{ch}:{x}:{y},scale=1080:1920:flags=lanczos,\"\n f\"drawbox=x=0:y=44:w=1080:h=246:color=red@0.38:t=fill,scale=430:-1\")\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",t,\"-i\",\"video1.mp4\",\"-frames:v\",\"1\",\n \"-vf\",vf,f\"edit/verify/yb12_z{z:.2f}.jpg\",\"-y\"],check=True)\n print(f\"z={z} crop {cw}x{ch} @ {x},{y}\")\nPY",
"description": "Test recalibrated Y_BIAS with band guide",
"timeout": 180000
}z=1.25 crop 864x1536 @ 108,46
z=1.32 crop 818x1454 @ 130,54
z=1.0 crop 1080x1920 @ 0,0Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/yb12_z1.25.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/yb12_z1.32.jpg"
}[imagem]raciocínio interno
The band positioning now clears with room at both 1.25 and 1.32, with Y_BIAS=0.12 and the band spanning top 44 to height 246. Now I need to write the EDL file, adapt the build script, and set up the 5 HyperFrame slots, starting with overlay anchors that need to land precisely on spoken words in the source audio—like the title slot anchored at 7.2s to sync with "Até o começo dos anos 90."
I'm checking the profile rule that overlays should never cut abruptly at an edit point—instead the slot should extend and dissolve over the cut. Since A2 at 13.94s is a punch rather than a hard cut, the overlay can continue as a fixed layer while only the background jumps, but the profile warns punches are only safe during the overlay's hold, never during its entrance or exit. That puts the 13.94s punch dangerously close to the overlay's exit if it runs 7.2-14.7s, so I'm adjusting: extending the title overlay to 7.0-14.6s and shifting the A1/A2 boundary to land on a word boundary near 15.24s instead, which means I need to pull word-level timing data for the 14-21s range to find a clean cut point, then do the same precise anchor-picking for slots 2 through 5.
Banda validada com folga em 1,25× e 1,32×. Y_BIAS=0.12, banda top 44px / altura 246px. Agora vou fixar as âncoras dos overlays em palavra.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\nW=[x for x in json.load(open('edit/transcripts/video1.json'))['words'] if x.get('type')=='word']\nfor a,b,l in [(13,22,\"A1/A2\"),(46,58,\"slot2 enumeracao\"),(59,70,\"slot3 1992\"),\n (78,93,\"slot4 proposta\"),(102,113,\"slot5 payoff\")]:\n print(f\"--- {l} ---\")\n print(\" \"+\" \".join(f\"{x['text']}[{x['start']:.2f}]\" for x in W if a<=x['start']<b))\nPY",
"description": "Dump word times for overlay anchor regions"
}--- A1/A2 ---
andando[13.04] pra[13.42] cima[13.60] e[13.70] pra[13.78] baixo[13.94] de[14.22] bicicleta.[14.32] Em[15.34] algumas[15.44] grandes[15.86] agências,[16.26] havia[17.06] algumas[17.64] dezenas[18.34] de[19.00] mensageiros[19.12] rodando[19.74] o[20.28] dia[20.46] inteiro.[20.70] Aí[21.32]
--- slot2 enumeracao ---
entregar[46.10] o[46.48] bilhete[46.56] na[46.94] casa[47.10] desse[47.98] cliente.[48.34] Pra[49.23] uma[49.56] única[50.00] venda,[50.38] era[51.02] no[51.20] mínimo[51.34] dois,[51.98] três[52.72] mensageiros,[53.34] quatro[54.46] telefonemas,[54.92] quase[55.78] meio[56.16] dia[56.50] de[56.76] trabalho.[56.88] Por[57.70] isso,[57.84]
--- slot3 1992 ---
um[59.20] exército[59.38] desses[60.48] mensageiros.[60.80] Em[61.88] 1992,[62.06] a[63.78] Maria[63.88] Luiza[64.32] Rodenburg,[64.82] a[66.02] mesma[66.14] que[66.84] depois[66.98] traria[67.42] a[67.92] Starbucks[68.02] aqui[68.68] pro[69.01] Brasil,[69.16] isso[69.56] é[69.70] um[69.76] tema[69.90]
--- slot4 proposta ---
A[78.62] proposta[78.72] dela[79.22] pras[79.60] agências[79.84] era[80.28] muito[80.48] simples,[80.74] mas[81.16] ousada:[81.40] três[82.36] máquinas[82.80] zero[83.78] quilômetro[84.34] instaladas,[85.08] conexão[86.04] montada,[86.50] treinamento[87.14] dos[87.90] funcionários.[88.08] Em[88.73] troca,[88.90] no[89.66] mínimo[89.82] de[90.52] quinhentas[90.76] reservas[91.32] por[92.00] mês.[92.20] Em[92.82] alguns[92.92]
--- slot5 payoff ---
aquilo.[102.48] Em[103.48] dois[103.58] anos,[103.86] mais[104.76] de[105.12] quatrocentas[105.28] agências[106.12] aderiram[106.68] e[107.40] um[107.46] exército[107.64] de[108.30] mensageiros[108.42] foi[109.24] dispensado[109.62] de[110.92] uma[111.10] só[111.34] vez.[111.54]raciocínio interno
I'm finalizing the zoom ladder for Block A, breaking it into three segments with specific zoom levels and timing for the title reveal and key narrative beats, then moving on to define Block B's range.
Continuing through Block B, I'm checking each segment against the enumeration and proposal anchor points to make sure the zoom levels align with when key phrases like "1992" and "três máquinas" appear, adjusting segment boundaries where needed to keep anchors properly contained within their zoom windows.
Continuing through B12, I confirm the payoff anchor at 104.76 lands cleanly inside that block. Then I map out Block C's zoom progression building to the climax at C4 (z=1.32), tapering down through C5, and sketch Block D's three segments ramping from z=1.00 to a starred 1.25 peak at D3.
Now I'm adding Block E with two segments, bringing the total count to 26 segments across all five blocks (A=3, B=13, C=5, D=3, E=2). I'm also listing out the five overlay anchor points with their source timestamps and durations that the build script will map from source to output time.
I'm working out the color grade values for the channel mixer, planning to verify them visually before finalizing. I also realize I need to adapt build.py so zoom is read per-range from the EDL rather than as a fixed module constant, keeping everything together in one place. Now I'm ready to start writing the EDL file itself.
Tudo fixado. Vou escrever o EDL com os 26 segmentos de zoom.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json, os\nSRC=os.path.abspath(\"video1.mp4\")\nS=[\n # (start, end, zoom, beat, nota)\n ( 6.39, 15.34,1.00,\"HOOK\",\"abertura sempre 1.00 + titulo travado\"),\n ( 15.34, 21.32,1.08,\"HOOK\",\"dezenas de mensageiros o dia inteiro\"),\n ( 21.32, 24.90,1.18,\"VIRADA\",\"PUNCH: Ai chegou um sistema chamado Galileu\"),\n ( 25.49, 33.10,1.00,\"OPERACAO\",\"reentrada limpa apos pausa estrutural\"),\n ( 33.10, 40.90,1.06,\"OPERACAO\",\"ligava na aerea, reserva, confirmacao\"),\n ( 40.90, 47.98,1.00,\"OPERACAO\",\"volta: mensageiro voltava de bicicleta\"),\n ( 47.98, 57.70,1.10,\"CUSTO\",\"travado p/ slot_2 (enumeracao)\"),\n ( 57.70, 61.88,1.04,\"CUSTO\",\"volta: exercito desses mensageiros\"),\n ( 61.88, 69.56,1.12,\"1992\",\"travado p/ slot_3 (Rodenburg)\"),\n ( 69.56, 74.20,1.04,\"1992\",\"volta: tema pra um outro video\"),\n ( 74.20, 78.62,1.10,\"1992\",\"sistema computadorizado de reservas globais\"),\n ( 78.62, 81.40,1.12,\"PROPOSTA\",\"PUNCH: simples, mas ousada\"),\n ( 81.40, 92.82,1.06,\"PROPOSTA\",\"travado p/ slot_4 (a troca)\"),\n ( 92.82, 99.96,1.14,\"PROPOSTA\",\"PUNCH: mouse no chao, maquina de costura\"),\n ( 99.96,103.48,1.04,\"PAYOFF\",\"volta: nao sabiam o que era aquilo\"),\n (103.48,112.12,1.25,\"PAYOFF\",\"*** ENFASE: 400 agencias / exercito dispensado (slot_5)\"),\n (113.61,120.94,1.00,\"LICAO\",\"reentrada limpa apos pausa de 1.5s\"),\n (120.94,129.50,1.08,\"LICAO\",\"quem ficou do jeito antigo desapareceu\"),\n (129.50,134.58,1.18,\"TESE\",\"PUNCH: cada geracao tem o seu mensageiro\"),\n (134.58,142.66,1.32,\"TESE\",\"*** CLIMAX unico: em 2026 o mensageiro e digital\"),\n (142.66,145.93,1.20,\"TESE\",\"a funcao e a mesma, a tecnologia que mudou\"),\n (195.39,200.72,1.00,\"PROVOCACAO\",\"reset: compensa a emenda (ele esta mais perto)\"),\n (200.72,208.78,1.10,\"PROVOCACAO\",\"aceitaria implementar ou virar as costas\"),\n (208.78,212.24,1.25,\"PROVOCACAO\",\"*** ENFASE: sindrome de Gabriela\"),\n (159.45,164.84,1.14,\"ASSINATURA\",\"alto: compensa a emenda (ele esta mais recuado)\"),\n (164.84,169.75,1.20,\"CTA\",\"ja me segue para ver o proximo\"),\n]\nedl={\"version\":1,\"sources\":{\"video1\":SRC},\n \"ranges\":[{\"source\":\"video1\",\"start\":a,\"end\":b,\"zoom\":z,\"beat\":k,\"reason\":n} for a,b,z,k,n in S],\n \"grade\":\"colorchannelmixer=rr=1.000:gg=0.997:bb=0.945\",\n \"overlays\":[\n {\"file\":\"animations/slot_1/render.mov\",\"source_anchor\":7.00,\"dura…26 segmentos de zoom · 5 blocos de audio · 21 punches
audio 6.39 -> 24.90 ( 18.51s)
audio 25.49 -> 112.12 ( 86.63s)
audio 113.61 -> 145.93 ( 32.32s)
audio 195.39 -> 212.24 ( 16.85s)
audio 159.45 -> 169.75 ( 10.30s)
TOTAL 164.61s = 2:44.6 (fonte 215.98s, cortado 51.4s)raciocínio interno
With the timing mapped out at 2:44.6 with 5 cuts and 21 punches, I'm now adapting the build script for vertical 1080x1920 source video with a slight vertical bias, reading zoom levels from the EDL ranges and using lanczos scaling. I'm weighing whether to keep the native 59.94fps or drop to 30fps given the 8GB RAM constraint, since halving the frame rate would significantly reduce render cost on this composite-heavy pipeline.
I'm settling on 30fps since the reference pipeline's mask color source is built around that rate and it's standard for talking-head content anyway. Before writing build.py, I want to verify that build_master_srt from render.py will work correctly with the reordered EDL ranges, so I'm checking its signature and how it reads transcripts.
26 segmentos, 5 cortes de áudio, 21 punches, 2:44,6 (−51,4s). Agora o build.py adaptado para esta fonte.
Bash
{
"command": "grep -n \"def build_master_srt\" -A 45 ~/Developer/video-use/helpers/render.py",
"description": "Inspect build_master_srt signature"
}315:def build_master_srt(edl: dict, edit_dir: Path, out_path: Path) -> None:
316- """Build an output-timeline SRT from per-source transcripts.
317-
318- - 2-word chunks (break on any punctuation in between)
319- - UPPERCASE text
320- - Output times computed as word.start - segment_start + segment_offset
321- """
322- transcripts_dir = edit_dir / "transcripts"
323- sources = edl["sources"]
324-
325- entries: list[tuple[float, float, str]] = []
326- seg_offset = 0.0
327-
328- for r in edl["ranges"]:
329- src_name = r["source"]
330- seg_start = float(r["start"])
331- seg_end = float(r["end"])
332- seg_duration = seg_end - seg_start
333-
334- tr_path = transcripts_dir / f"{src_name}.json"
335- if not tr_path.exists():
336- print(f" no transcript for {src_name}, skipping captions for this segment")
337- seg_offset += seg_duration
338- continue
339-
340- transcript = json.loads(tr_path.read_text())
341- words_in_seg = _words_in_range(transcript, seg_start, seg_end)
342-
343- # Group into 2-word chunks, break on punctuation
344- chunks: list[list[dict]] = []
345- current: list[dict] = []
346- for w in words_in_seg:
347- text = (w.get("text") or "").strip()
348- if not text:
349- continue
350- current.append(w)
351- # Break if the current text ends in punctuation or we hit 2 words
352- ends_in_punct = bool(text) and text[-1] in PUNCT_BREAK
353- if len(current) >= 2 or ends_in_punct:
354- chunks.append(current)
355- current = []
356- if current:
357- chunks.append(current)
358-
359- for chunk in chunks:
360- local_start = max(seg_start, chunk[0].get("start", seg_start))raciocínio interno
I'm noticing that build_master_srt uses planned durations rather than actual measured ones, which could introduce slight timing drift in the exported SRT — acceptable for non-burned subtitles but worth flagging since accuracy matters for import. With 26 ranges mapped to only 5 audio blocks, I need to check whether the contiguous punches could cause a bigger alignment issue than just minor drift.
I'll keep the 2-word master.srt since the pipeline expects it, and write my own SRT builder using real durations with readable chunking (max ~5 words, breaking on punctuation). Now I'm moving to build.py, adding an --overlay-passes option to split the composite into chunks in case 5 overlays strain 8GB memory.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/build.py",
"content": "\"\"\"Pipeline de render — aula \"O Galileu de 2026\".\n\nDeriva do build.py aprovado em `[oculto]/Video Edit/FPC_Camisa1/v02/edit/`,\ncom tres adaptacoes obrigatorias para ESTA fonte:\n\n 1. SRC 1080x1920 NATIVO (nao 4K). Nao ha folga de resolucao: todo zoom > 1.00\n e reamplicacao real, nao recorte de pixel nativo. Por isso `flags=lanczos`.\n 2. Y_BIAS = 0.12 (nao 0.28). Medido: o topo da cabeca chega a y=312 na fonte;\n com 0.28 a banda de overlay invadia o cabelo a partir de 1.25x. Com 0.12 o\n topo fica em ~317px na saida em TODOS os niveis da escada, e a banda\n (top 44, altura 246 -> fecha em 290) passa com folga.\n 3. O zoom vem de cada range do edl.json, nao de uma lista no modulo.\n\nUso:\n ~/Developer/video-use/.venv/bin/python edit/build.py -o edit/preview.mp4 --preview --no-subtitles\n ~/Developer/video-use/.venv/bin/python edit/build.py -o edit/final.mp4 --no-subtitles\n\"\"\"\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport subprocess\nimport sys\nfrom pathlib import Path\n\nHELPERS = Path.home() / \"Developer\" / \"video-use\" / \"helpers\"\nsys.path.insert(0, str(HELPERS))\n\nfrom render import ( # noqa: E402\n apply_loudnorm_two_pass, is_hdr_source, TONEMAP_CHAIN, resolve_grade_filter,\n)\n\nEDIT = Path(__file__).resolve().parent\n\nSRC_W, SRC_H = 1080, 1920\nOUT_W, OUT_H = 1080, 1920\nFPS = 30\n\n# Medido nesta fonte (54 frames amostrados): topo da cabeca min y=312.\n# 0.12 mantem o sujeito baixo o bastante para a banda de overlay em qualquer\n# nivel da escada. Mexeu aqui -> revalide a altura da banda nos slots.\nY_BIAS = 0.12\n\nGLASS_SIGMA = 40 # raio do fosco (backdrop-blur)\nGLASS_SAT = 1.18\nGLASS_BRIGHT = 0.015\n\n\ndef _has_libass() -> bool:\n out = subprocess.run([\"ffmpeg\", \"-hide_banner\", \"-filters\"],\n capture_output=True, text=True).stdout\n return any(line.split()[1:2] == [\"subtitles\"] for line in out.splitlines() if line.split())\n\n\ndef seg_real_duration(path: Path) -> float:\n out = subprocess.run([\"ffprobe\", \"-v\", \"error\", \"-show_entries\", \"format=duration\",\n \"-of\", \"default=nw=1:nk=1\", str(path)],\n capture_output=True, text=True).stdout.strip()\n return float(out)\n\n\ndef src_to_real_out(t: float, ranges: list, real: list[float]) -> float:\n \"\"\"Tempo d…File created successfully at: [oculto]/Desktop/aula-edit/edit/build.py (file state is current in your context — no need to Read it back)raciocínio interno
I want to verify the cut and zoom work before building out the animations, so I'll run a base preview without overlays first. I should also check node/hyperframes availability in parallel so I don't hit a blocker later — running the 26-segment preview build at veryfast/crf23 quality is the fastest way to confirm the edit works.
I'll kick off the preview build in the background and check node while it runs.
Agora vou renderizar a base (corte + zoom, sem overlays) para validar a edição antes de investir nas animações.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/build.py -o edit/preview_base.mp4 --preview --no-subtitles --no-overlays 2>&1 | tail -50",
"description": "Render base preview without overlays",
"run_in_background": true
}Command running in background with ID: bfrswwy6m. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bfrswwy6m.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "node --version; npm --version; ls ~/.claude/skills/ | grep -i hyper",
"description": "Check Node and HyperFrames availability"
}v24.14.1
11.11.0
hyperframes
hyperframes-animation
hyperframes-cli
hyperframes-core
hyperframes-creative
hyperframes-keyframes
hyperframes-registryraciocínio interno
Node version checks out for HyperFrames. Now I want to build the HyperFrames slots while the base renders, so I'm checking a reference slot's index.html to copy its proven structure.
Node 24 disponível. Vou estudar um slot de referência enquanto a base renderiza.
Bash
{
"command": "cd \"[oculto]/Video Edit/FPC_Camisa1/v02/edit/animations/slot_1\" && cat meta.json 2>/dev/null; echo \"=== hyperframes.json ===\"; cat hyperframes.json; echo \"=== index.html ===\"; wc -l index.html && sed -n '1,120p' index.html",
"description": "Read reference HyperFrames slot"
}{
"id": "slot_1",
"name": "slot_1",
"createdAt": "2026-08-08T23:47:19.369Z"
}=== hyperframes.json ===
{
"$schema": "https://hyperframes.heygen.com/schema/hyperframes.json",
"registry": "https://raw.githubusercontent.com/heygen-com/hyperframes/main/registry",
"paths": {
"blocks": "compositions",
"components": "compositions/components",
"assets": "assets"
},
"media": {
"autoProxy": true
}
}
=== index.html ===
140 index.html
<!doctype html>
<html lang="pt-BR">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=1080, height=1920" />
<script src="https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js"></script>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
html, body { width: 1080px; height: 1920px; overflow: hidden; background: transparent; }
body {
font-family: -apple-system, "SF Pro Display", "SF Pro Text", "Inter",
"Helvetica Neue", sans-serif;
-webkit-font-smoothing: antialiased;
}
/* Vidro — receita fixa do perfil (CLAUDE.md §4.2). */
.glass {
background-color: rgba(16, 16, 18, 0.54);
background-image: linear-gradient(157deg,
rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,
rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);
border: 1.5px solid rgba(255,255,255,0.155);
box-shadow:
0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),
inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);
}
#band {
position: absolute; left: 0; top: 60px;
width: 1080px; height: 372px; overflow: hidden;
}
/* 5 itens cabem inteiros: 5 x 72 = 360 <= 372. A lista COMPLETA e o
argumento — cinco vezes decretaram o fim das agencias. */
.item {
position: absolute; left: 64px;
display: inline-flex; align-items: center; gap: 16px;
padding: 10px 28px 12px 22px;
border-radius: 999px;
color: #f5f5f7;
font-size: 40px; font-weight: 600;
letter-spacing: -0.8px; white-space: nowrap;
opacity: 0;
}
/* Icone: traco fino, currentColor — herda o estado do item (aceso/apagado). */
.item svg { width: 34px; height: 34px; flex: none; opacity: 0.82; }
.item svg * { vector-effect: non-scaling-stroke; }
/* "A bola da vez" — so o ultimo item acende. */
#dot {
width: 14px; height: 14px; border-radius: 999px;
background: #ff9f0a; box-shadow: 0 0 0 0 rgba(255,159,10,0);
opacity: 0; flex: none; margin-left: 4px;
}
</style>
</head>
<body>
<div id="root" data-composition-id="main" data-start="0" data-duration="9.4"
data-width="1080" data-height="1920" data-fps="30">
<div id="band" class="clip" data-start="0" data-duration="9.4" data-track-index="1">
<div id="stack"></div>
</div>
</div>
<script>
const PITCH = 72;
const SVG = (d) =>
'<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.7" ' +
'stroke-linecap="round" stroke-linejoin="round">' + d + '</svg>';
// Icones desenhados inline: sem rede, sem fonte de icone, deterministico.
const IC = {
// GDS — rack de servidor: o sistema legado de distribuicao.
gds: SVG('<rect x="3" y="4" width="18" height="7" rx="2"/>' +
'<rect x="3" y="13"…Bash
{
"command": "cd \"[oculto]/Video Edit/FPC_Camisa1/v02/edit/animations/slot_1\" && sed -n '120,140p' index.html; echo \"=== package.json ===\"; cat package.json",
"description": "Read rest of reference slot"
} tl.to(els[i], { opacity: 1, duration: 0.28, ease: "power3.out" }, cue);
tl.fromTo(els[i], { y: 14 }, { y: 0, duration: 0.36, ease: "power3.out" }, cue);
});
// 7.58s — "artificial": as quatro anteriores recuam, a atual fica sozinha
// acesa. O argumento e a REPETICAO — ja aconteceu quatro vezes.
tl.to(els.slice(0, 4), { opacity: 0.40, duration: 0.5, ease: "power2.out" }, 7.58);
tl.to("#dot", { opacity: 1, duration: 0.22, ease: "power2.out" }, 7.58);
tl.to("#dot", { boxShadow: "0 0 20px 3px rgba(255,159,10,0.5)",
duration: 0.4, ease: "power2.out" }, 7.70);
// Deriva tenue — evita sweep_static.
tl.to(stack, { y: -6, duration: 3.2, ease: "sine.inOut" }, 4.6);
// Dissolve antes da virada ("O curioso e que o mercado continua crescendo").
tl.to("#band", { opacity: 0, filter: "blur(5px)", duration: 0.42, ease: "power2.in" }, 8.95);
window.__timelines["main"] = tl;
</script>
</body>
</html>
=== package.json ===
{
"name": "slot_1",
"private": true,
"type": "module",
"scripts": {
"dev": "npx --yes hyperframes@0.7.102 preview",
"check": "npx --yes hyperframes@0.7.102 check",
"render": "npx --yes hyperframes@0.7.102 render",
"publish": "npx --yes hyperframes@0.7.102 publish"
}
}
Shell cwd was reset to [oculto]/Desktop/aula-editraciocínio interno
I've got the full pattern now, noting the pinned hyperframes@0.7.102 reference. Let me check on the background render status, then scaffold out the slots.
Bash
{
"command": "tail -20 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bfrswwy6m.output",
"description": "Check base render progress"
}(Bash completed with no output)Bash
{
"command": "ls -la /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/ 2>/dev/null; ls -la edit/*.mp4 2>/dev/null; ls edit/clips_preview 2>/dev/null | tail -5",
"description": "Check render output files"
}total 0
drwxr-xr-x@ 4 [oculto] wheel 128 Aug 20 16:34 .
drwx------@ 4 [oculto] wheel 128 Aug 20 16:13 ..
-rw-r--r--@ 1 [oculto] wheel 0 Aug 20 16:34 bfrswwy6m.output
-rw-r--r--@ 1 [oculto] wheel 0 Aug 20 16:34 bngainpe2.output
(eval):1: no matches found: edit/*.mp4
seg_00.mp4
seg_01.mp4
seg_02.mp4
seg_03.mp4
seg_04.mp4raciocínio interno
While that's running in the background, I'll scaffold the 5 slot directories myself by writing the hyperframes.json and package.json files directly rather than running init repeatedly, which is faster and deterministic. Then I'll write each slot's index.html.
For slot_1 (TÍTULO), I'm designing a glass card with the title "O Galileu de 2026" at 62px and subtitle at 27px, positioned at left 64px with a card height around 174px that fits the 246px band, animating in with a scale-and-fade reveal that dissolves around 7.1s. For slot_2 (O CUSTO DE UMA VENDA), I'm working out the content and timing based on the speech anchor at 49.23s.
Adjusting the slot to 8.2s keeps it within B4's bounds, ending at 57.43 before the 57.70 punch, with the dissolve starting at 7.7 and the last chip holding 1.15s — that works. Now I'm checking the layout height: header plus three chips totals around 238px, slightly tight against the 246px band, so I'm trimming chip font size and pitch to fit comfortably.
Trying a horizontal row of three chips instead, but calculating their widths shows the total exceeds the available 952px space, so that won't work. I'll stack them vertically instead — a dim header reading "Para UMA única venda" above three pills.
Checking the total height: 34 + 14 + 3×58 = 222px, which fits comfortably under the 290px limit starting from the top at 44px.
Now moving to slot_3, the 1992 Rodenburg segment anchored at 62.06s with a 7.0s duration. I'm mapping out the speech cues relative to that anchor — the "1992" chip appears early, then Maria Luiza Rodenburg's name at 1.82s in, her role description at 3.2s, and a dissolve transition at 6.5s.
I'm confirming the timing works out since the Starbucks mention falls within the segment bounds, and designing this as an identity card placed in the top band rather than the subtitle zone, with "1992" as a small accent chip, the name prominent, and the role text dimmed below it.
Moving to slot_4, "A Proposta," anchored at 82.36s with a 9.5s duration — I'm breaking down the speech into cue timings relative to that anchor, covering the three zero-km machines, installation, connection setup, employee training, and the minimum 500 reservations per month requirement in exchange.
I'm laying out the pill elements for each cue point, but realize the dissolve timing needs at least a 1-second hold after the last element, which pushes past the original 9.5s slot duration — so I'm extending the slot to 10.0s, ending at 92.36, which still fits within the bounds of segment B9b.
Actually, I'm reconsidering the element count — five elements plus a divider in 10 seconds feels dense given the "one element at a time, let it settle" principle, so I'm simplifying to four: three offer pills and the "em troca" accent pill, dropping the header entirely and recalculating the total height with three regular pills, a divider, and one accent pill.
Checking the math, that total comes out over budget, so I'm shrinking the pill pitch to 52 and font to 33, which brings the height comfortably under the 290 limit.
Now I'm moving to slot 5, the payoff moment, timing a counting "+400" number to land precisely on "agências" in the speech.
I want the counter animation to start slightly earlier so its landing frame syncs exactly with the spoken payoff word, running from 0.52 to 1.36 seconds. After that, a label appears, followed by the "exército dispensado" line, with a dissolve transition ending the segment right at the 7.2s mark to match the audio boundary. This is the one segment using the champagne accent color for the big number and label design.
Since the brief calls for one accent color per video, I'll use champagne #E9C87F consistently but sparingly — applying it to the "1992" chip, the "500 reservas por mês" line, and the "+400" payoff number, since these all represent the key figures worth highlighting.
I'm keeping -apple-system for the font stack since it worked in the approved reference render, and pinning GSAP to the same jsdelivr CDN version they used. Now I'm ready to start building out the individual slots.
Padrão entendido. Vou criar os 5 slots com a geometria recalibrada para esta fonte (banda top 44 / altura 246).
Bash
{
"command": "cd edit && mkdir -p animations && for i in 1 2 3 4 5; do\nd=animations/slot_$i; mkdir -p $d\ncat > $d/hyperframes.json <<'EOF'\n{\n \"$schema\": \"https://hyperframes.heygen.com/schema/hyperframes.json\",\n \"registry\": \"https://raw.githubusercontent.com/heygen-com/hyperframes/main/registry\",\n \"paths\": { \"blocks\": \"compositions\", \"components\": \"compositions/components\", \"assets\": \"assets\" },\n \"media\": { \"autoProxy\": true }\n}\nEOF\ncat > $d/package.json <<EOF\n{\n \"name\": \"slot_$i\",\n \"private\": true,\n \"type\": \"module\",\n \"scripts\": {\n \"check\": \"npx --yes hyperframes@0.7.102 check\",\n \"render\": \"npx --yes hyperframes@0.7.102 render\"\n }\n}\nEOF\ndone && ls animations/",
"description": "Scaffold the five HyperFrames slot directories"
}slot_1
slot_2
slot_3
slot_4
slot_5raciocínio interno
I'm planning the shared style block and individual slide files, starting with slot_1 as the title card. I'm working out the timing for this 7.6s slide, anchoring the entrance, title text, and subtitle cues against the Portuguese narration around the 7-second mark referencing the early 1990s.
Simplifying the timing: card enters at 0.25s, subtitle appears at 1.4s, and it dissolves around 6.95s. I'm relying on HyperFrames' paused GSAP timeline with seek-based rendering for deterministic output, then moving on to write the actual file.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/slot_1/index.html",
"content": "<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * { margin: 0; padding: 0; box-sizing: border-box; }\n html, body { width: 1080px; height: 1920px; overflow: hidden; background: transparent; }\n body {\n font-family: -apple-system, \"SF Pro Display\", \"SF Pro Text\", \"Inter\",\n \"Helvetica Neue\", sans-serif;\n -webkit-font-smoothing: antialiased;\n }\n\n /* Vidro — receita fixa do perfil (CLAUDE.md §4.2). O desfoque NAO vem\n daqui: `backdrop-filter` nao tem o que borrar num render em alpha.\n Quem fosca e o composite no ffmpeg, usando este alpha como mascara. */\n .glass {\n background-color: rgba(16, 16, 18, 0.54);\n background-image: linear-gradient(157deg,\n rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,\n rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);\n border: 1.5px solid rgba(255,255,255,0.155);\n box-shadow:\n 0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),\n inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);\n }\n\n /* Banda recalibrada para ESTA fonte: o topo da cabeca chega a y=317 na\n saida no nivel mais fechado da escada, entao a banda fecha em 290. */\n #band {\n position: absolute; left: 0; top: 44px;\n width: 1080px; height: 246px; overflow: hidden;\n }\n\n #card {\n position: absolute; left: 64px; top: 6px;\n max-width: 952px;\n padding: 26px 40px 30px 40px;\n border-radius: 38px;\n opacity: 0;\n }\n #title {\n color: #f5f5f7;\n font-size: 62px; font-weight: 600; letter-spacing: -1.6px;\n white-space: nowrap; line-height: 1.05;\n }\n #sub {\n margin-top: 12px;\n color: rgba(245,245,247,0.58);\n font-size: 27px; font-weight: 500; letter-spacing: -0.3px;\n white-space: nowrap; opacity: 0;\n }\n /* Brilho da borda superior — o \"specular\" do material da Apple. */\n #sheen {\n position: absolute; left: 0; top: 0; width: 100%; height: 3px;\n border-radius: 38px 38p…File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/slot_1/index.html (file state is current in your context — no need to Read it back)raciocínio interno
I'm checking the base render progress before writing slots 2 through 5, starting with slot_2 covering "O custo de uma venda" and timing out the speech lines against the anchor point.
For slot_2 I'm designing a header plus three pills layout, adjusting the cue timing so the first pill lands naturally on "dois" and completes on "três mensageiros" rather than leaving an awkward gap, then sketching simple icon SVGs for bicycle, phone, and clock, and checking the total stacked height fits within the frame. Now I'm moving on to slot_3, "1992 · Rodenburg," and working out its speech timing relative to its anchor.
I'm designing a card with an accent chip showing "1992," the name, and a role line, staggering their cue times to match the speech, and deciding to skip adding a fourth Starbucks-related element since it would appear too late to hold for a full second before the dissolve. Now I'm working out the layout heights for the chip, name, and role text sizes.
Moving to the next slot, "A PROPOSTA" anchored at 82.36 with a 10-second duration, I'm mapping out the relative timing of each speech phrase—"três máquinas," "zero quilômetro," "instaladas," "conexão montada," "treinamento dos funcionários," "Em troca," the minimum reservation count, and "reservas por mês"—against the anchor point to sync the on-screen text cues.
Checking the height budget: three pills plus a divider plus the accent pill at full size comes to 244px, too tall for the 246 band once padding is added. I'm restructuring with tighter pitch—pills at 48px (144 total), a slimmer divider row (30), and a 50px accent pill—bringing the total down to 224.
Dropping the wrapper card entirely and treating the pills as standalone glass elements like the reference design, stacking three info pills then an accent pill for "500 reservas por mês" that includes a dim "em troca ·" prefix before the champagne-colored number, keeping everything within 200px total height.
Now I'm moving to slot_5, the payoff section, mapping out the speech timing for "mais de quatrocentas agências" with relative offsets for each word.
For the design, I'm planning a big counting number from 0 to 400+ in champagne that lands right as "agências" is spoken, followed by a label fading in, then a second pill with "um exército de mensageiros dispensado" appearing before the whole thing dissolves out around 6.60-7.06.
I'm laying out the card with the number and label side by side at the top, then the pill positioned below, keeping the total height around 178px. For the counting animation I'm leaning toward a power2.out easing so the number lands with a satisfying settle rather than overshooting.
Bash
{
"command": "ls edit/clips_preview/ 2>/dev/null | wc -l; ls edit/clips_preview/ 2>/dev/null | tail -3",
"description": "Check base render progress"
} 0raciocínio interno
That's odd — earlier the directory showed seg_00 through seg_04, but now it's empty. I should check whether the process died or the directory got cleaned, and verify the cwd the process is actually running from.
Bash
{
"command": "ls -la edit/ ; echo \"=== task out ===\"; cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bfrswwy6m.output | tail -30; echo \"=== procs ===\"; ps aux | grep -c \"[f]fmpeg\"",
"description": "Inspect edit dir and background task state"
}ls: edit/: No such file or directory
=== task out ===
=== procs ===
1raciocínio interno
Odd, the edit/ directory isn't showing up — I realize my earlier cd into edit persisted, so the cwd is already inside that folder. I'll switch to using absolute paths to avoid confusion.
O cwd ficou em edit/ do comando anterior. Vou usar caminhos absolutos.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit && pwd && ls edit/clips_preview/ | wc -l && ls edit/*.mp4 2>/dev/null; ps aux | grep \"[f]fmpeg\" | head -2",
"description": "Check render progress with absolute path"
}[oculto]/Desktop/aula-edit
26
(eval):1: no matches found: edit/*.mp4
[oculto] 6868 470.2 5.3 435843568 444240 ?? R 4:36PM 0:09.78 ffmpeg -y -ss 164.8400 -i [oculto]/Desktop/aula-edit/video1.mp4 -t 4.9100 -an -vf crop=900:1600:90:38,scale=1080:1920:flags=lanczos,colorchannelmixer=rr=1.000:gg=0.997:bb=0.945 -c:v libx264 -preset veryfast -crf 23 -pix_fmt yuv420p -r 30 -movflags +faststart [oculto]/Desktop/aula-edit/edit/clips_preview/seg_25.mp4raciocínio interno
It's on the last segment now, so I'll go ahead and fill in slot_2 while that finishes up.
Está no último segmento. Vou escrever os slots restantes.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/slot_2/index.html",
"content": "<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * { margin: 0; padding: 0; box-sizing: border-box; }\n html, body { width: 1080px; height: 1920px; overflow: hidden; background: transparent; }\n body {\n font-family: -apple-system, \"SF Pro Display\", \"SF Pro Text\", \"Inter\",\n \"Helvetica Neue\", sans-serif;\n -webkit-font-smoothing: antialiased;\n }\n .glass {\n background-color: rgba(16, 16, 18, 0.54);\n background-image: linear-gradient(157deg,\n rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,\n rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);\n border: 1.5px solid rgba(255,255,255,0.155);\n box-shadow:\n 0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),\n inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);\n }\n #band {\n position: absolute; left: 0; top: 44px;\n width: 1080px; height: 246px; overflow: hidden;\n }\n #head {\n position: absolute; left: 70px; top: 2px;\n color: rgba(245,245,247,0.60);\n font-size: 27px; font-weight: 600; letter-spacing: 0.6px;\n text-transform: uppercase; opacity: 0;\n }\n .item {\n position: absolute; left: 64px;\n display: inline-flex; align-items: center; gap: 15px;\n padding: 9px 30px 11px 22px;\n border-radius: 999px;\n color: #f5f5f7;\n font-size: 34px; font-weight: 600; letter-spacing: -0.7px;\n white-space: nowrap; opacity: 0;\n }\n /* Icone: traco fino no registro do SF Symbols, currentColor sempre. */\n .item svg { width: 29px; height: 29px; flex: none; opacity: 0.82; }\n .item svg * { vector-effect: non-scaling-stroke; }\n </style>\n </head>\n <body>\n <div id=\"root\" data-composition-id=\"main\" data-start=\"0\" data-duration=\"8.2\"\n data-width=\"1080\" data-height=\"1920\" data-fps=\"30\">\n <div id=\"band\" class=\"clip\" data-start=\"0\" data-duration=\"8.2\" data-track-index=\"1\">\n <div id=\"head\">Para uma única venda</div>\n <div id=\"stack\"></div>\n…File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/slot_2/index.html (file state is current in your context — no need to Read it back)raciocínio interno
The base preview is done, so I'll quickly verify it before continuing to write the remaining slots.
Base pronta. Vou verificá-la enquanto escrevo os outros slots.
Bash
{
"command": "cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bfrswwy6m.output | tail -18 && ffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 edit/preview_base.mp4",
"description": "Verify base preview render"
} [20] punch 142.660-145.930 ( 3.27s) zoom 1.20x TESE
[21] CORTE 195.390-200.720 ( 5.33s) zoom 1.00x PROVOCACAO
[22] punch 200.720-208.780 ( 8.06s) zoom 1.10x PROVOCACAO
[23] punch 208.780-212.240 ( 3.46s) zoom 1.25x PROVOCACAO
[24] CORTE 159.450-164.840 ( 5.39s) zoom 1.14x ASSINATURA
[25] punch 164.840-169.750 ( 4.91s) zoom 1.20x CTA
extraindo 5 blocos de audio (21 punches nao tocam no audio)
[00] 6.390- 24.900 ( 18.51s)
[01] 25.490-112.120 ( 86.63s)
[02] 113.610-145.930 ( 32.32s)
[03] 195.390-212.240 ( 16.85s)
[04] 159.450-169.750 ( 10.30s)
video 165.033s audio 164.613s (delta +421 ms)
master.srt: 110 legendas
duracao real do base: 165.033s
ERRO: video truncado — 164.53s de 165.03s esperados. Verifique os tpad/shortest do composite.
[exited with code 0]
164.612000raciocínio interno
The video ends up 421ms longer than the audio, which matches the expected frame-rounding accumulation across 26 segments at 30fps (each rounding up adds ~16ms). Since the mux uses -shortest, the final output gets trimmed to the audio's 164.61s length even though the video stream itself ran to 165.03s.
My guard is comparing the wrong values though — it checks the video stream duration against total_real and flags an error at the 0.5s threshold, but the reference implementation had the same drift pattern (just smaller, ~0.28s) and passed fine. The real concern is whether this rounding causes actual lip-sync drift: since each segment's video is independently rounded up relative to its audio, the video content could progressively lag behind where the audio expects it to be by the end of the clip.
I'm weighing fixes — one option is extracting video segments using exact frame counts computed from duration times fps, so rounding errors tend to cancel out across segments rather than accumulate in one direction.
Quantizing each segment independently causes drift to accumulate across a block—up to 200ms of source skipped relative to audio over many segments. A better fix is to snap the range boundaries themselves to the frame grid in source time, so segments stay aligned without compounding error.
To be extra safe against ffmpeg's rounding, I should also pass -frames:v explicitly rather than relying on -t alone. I'll quantize the ranges to the 1/30 grid right in build.py when loading the EDL, snapping both start and end of each range so contiguous segments stay contiguous, then use -frames:v during extraction for exact frame counts.
Once that drift is fixed, the guard that flagged the mismatch should stop firing since video and audio lengths will align, and the -shortest truncation issue goes away too. I also want to reconsider the output frame rate: the source is 59.94fps (60000/1001), and using a flat 30fps output creates uneven 2:1 timing that can cause judder, so 29.97fps (30000/1001) would be the cleaner match.
Deciding this is worth doing properly since the drift fix needs a quantization grid anyway, so I'll switch the output to true 29.97fps and patch build.py to quantize range boundaries to frame duration, update the frame count flag, and set the color source rate to match.
Duas coisas para corrigir antes de seguir — e a segunda é séria:
Drift de sincronia. video 165.033s · audio 164.613s (delta +421 ms). Cada um dos 26 segmentos de vídeo arredonda para frame inteiro para cima, e o erro acumula: no fim do vídeo o lábio estaria ~0,42s à frente do áudio. O -shortest mascarou isso truncando a saída, e a guarda do pipeline pegou. Vou quantizar as fronteiras na grade de frame, para vídeo e áudio baterem exatamente.
Aproveito e corrijo a taxa: a fonte é 59,94fps, então saída em 29,97 é decimação limpa 2:1 (30,0 exato geraria um frame irregular a cada ~33s).
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport re\np=\"edit/build.py\"; s=open(p).read()\n\ns=s.replace('''OUT_W, OUT_H = 1080, 1920\nFPS = 30\n''','''OUT_W, OUT_H = 1080, 1920\n\n# A fonte e 59.94fps (60000/1001). Saida em 29.97 e decimacao limpa 2:1; com\n# 30.0 exato o ffmpeg dropa um frame irregular a cada ~33s.\nFPS_STR = \"30000/1001\"\nFRAME = 1001 / 30000\n''')\n\ns=s.replace('''def even(n: float) -> int:\n return int(n) // 2 * 2''','''def even(n: float) -> int:\n return int(n) // 2 * 2\n\n\ndef quantize(ranges):\n \"\"\"Snapa toda fronteira na grade de frame da SAIDA.\n\n Sem isto cada segmento arredonda para frame inteiro PARA CIMA e o erro\n acumula: 26 segmentos deram +421ms de video sobre o audio, ou seja quase\n meio segundo de dessincronia labial no fim. Snapando start e end, a duracao\n de cada segmento vira um numero inteiro de frames E as emendas continuas\n seguem continuas (o end de um e o start do proximo, o mesmo valor snapado).\n \"\"\"\n out = []\n for r in ranges:\n a = round(float(r[\"start\"]) / FRAME) * FRAME\n b = round(float(r[\"end\"]) / FRAME) * FRAME\n out.append({**r, \"start\": a, \"end\": b})\n return out''')\n\ns=s.replace(''' preset, crf = (\"veryfast\", \"23\") if preview else (\"slow\", \"17\")\n\n cmd = [\n \"ffmpeg\", \"-y\",\n \"-ss\", f\"{seg_start:.4f}\", \"-i\", str(source), \"-t\", f\"{duration:.4f}\",\n \"-an\", \"-vf\", vf,\n \"-c:v\", \"libx264\", \"-preset\", preset, \"-crf\", crf,\n \"-pix_fmt\", \"yuv420p\", \"-r\", str(FPS),\n \"-movflags\", \"+faststart\", str(out_path),\n ]''',''' preset, crf = (\"veryfast\", \"23\") if preview else (\"slow\", \"17\")\n\n # -frames:v exato: `-t` sozinho ainda deixa o encoder decidir a ultima\n # borda. Com a duracao ja snapada na grade, N e inteiro por construcao.\n nframes = int(round(duration / FRAME))\n\n cmd = [\n \"ffmpeg\", \"-y\",\n \"-ss\", f\"{seg_start:.6f}\", \"-i\", str(source), \"-t\", f\"{duration + 4 * FRAME:.6f}\",\n \"-an\", \"-vf\", vf,\n \"-c:v\", \"libx264\", \"-preset\", preset, \"-crf\", crf,\n \"-pix_fmt\", \"yuv420p\", \"-r\", FPS_STR, \"-frames:v\", str(nframes),\n \"-movflags\", \"+faststart\", str(out_path),\n ]''')\n\ns=s.replace('\"-ss\", f\"{seg_start:.4f}\", \"-i\", str(source), \"-t\", f\"{duration:.4f}\",\\n \"-vn\", \"-af\", af,',\n …build.py corrigido
40:FPS_STR = "30000/1001"
41:FRAME = 1001 / 30000
87:def quantize(ranges):
98: a = round(float(r["start"]) / FRAME) * FRAME
99: b = round(float(r["end"]) / FRAME) * FRAME
132: # -frames:v exato: `-t` sozinho ainda deixa o encoder decidir a ultima
134: nframes = int(round(duration / FRAME))
138: "-ss", f"{seg_start:.6f}", "-i", str(source), "-t", f"{duration + 4 * FRAME:.6f}",
141: "-pix_fmt", "yuv420p", "-r", FPS_STR, "-frames:v", str(nframes),
249: f"color=c=black:s={OUT_W}x{OUT_H}:r={FPS_STR}:d={total:.3f},format=gray[mk0]"]
340: ranges = quantize(edl["ranges"])
[This command modified 1 file you've previously read: edit/build.py. Call Read before editing.]raciocínio interno
I'll kick off the corrected base preview render in the background to confirm the quantize fix actually resolves the sync delta, then write slots 3, 4, and 5 while that runs.
Correção aplicada. Vou rerodar a base para confirmar a sincronia, e escrevo os slots enquanto isso.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/build.py -o edit/preview_base.mp4 --preview --no-subtitles --no-overlays 2>&1 | tail -12",
"description": "Re-render base with sync fix",
"run_in_background": true
}Command running in background with ID: byh4j1mxx. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/byh4j1mxx.output. You will be notified when it completes. To check interim output, use Read on that file path.Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/slot_3/index.html",
"content": "<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * { margin: 0; padding: 0; box-sizing: border-box; }\n html, body { width: 1080px; height: 1920px; overflow: hidden; background: transparent; }\n body {\n font-family: -apple-system, \"SF Pro Display\", \"SF Pro Text\", \"Inter\",\n \"Helvetica Neue\", sans-serif;\n -webkit-font-smoothing: antialiased;\n }\n .glass {\n background-color: rgba(16, 16, 18, 0.54);\n background-image: linear-gradient(157deg,\n rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,\n rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);\n border: 1.5px solid rgba(255,255,255,0.155);\n box-shadow:\n 0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),\n inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);\n }\n #band {\n position: absolute; left: 0; top: 44px;\n width: 1080px; height: 246px; overflow: hidden;\n }\n #card {\n position: absolute; left: 64px; top: 10px;\n max-width: 952px;\n padding: 22px 38px 26px 32px;\n border-radius: 36px;\n opacity: 0;\n }\n #year {\n display: inline-block;\n padding: 5px 20px 7px 20px;\n border-radius: 999px;\n border: 1.5px solid rgba(233, 200, 127, 0.42);\n background: rgba(233, 200, 127, 0.13);\n color: #e9c87f; /* champagne — o unico acento do video */\n font-size: 26px; font-weight: 700; letter-spacing: 1.4px;\n opacity: 0;\n }\n #name {\n margin-top: 12px;\n color: #f5f5f7;\n font-size: 52px; font-weight: 600; letter-spacing: -1.2px;\n white-space: nowrap; opacity: 0;\n }\n #role {\n margin-top: 7px;\n color: rgba(245,245,247,0.56);\n font-size: 26px; font-weight: 500; letter-spacing: -0.2px;\n white-space: nowrap; opacity: 0;\n }\n </style>\n </head>\n <body>\n <div id=\"root\" data-composition-id=\"main\" data-start=\"0\" data-duration=\"7\"\n data-width=\"1080\" data-height=\"1920\"…File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/slot_3/index.html (file state is current in your context — no need to Read it back)Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/slot_4/index.html",
"content": "<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * { margin: 0; padding: 0; box-sizing: border-box; }\n html, body { width: 1080px; height: 1920px; overflow: hidden; background: transparent; }\n body {\n font-family: -apple-system, \"SF Pro Display\", \"SF Pro Text\", \"Inter\",\n \"Helvetica Neue\", sans-serif;\n -webkit-font-smoothing: antialiased;\n }\n .glass {\n background-color: rgba(16, 16, 18, 0.54);\n background-image: linear-gradient(157deg,\n rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,\n rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);\n border: 1.5px solid rgba(255,255,255,0.155);\n box-shadow:\n 0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),\n inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);\n }\n #band {\n position: absolute; left: 0; top: 44px;\n width: 1080px; height: 246px; overflow: hidden;\n }\n .item {\n position: absolute; left: 64px;\n display: inline-flex; align-items: center; gap: 14px;\n padding: 7px 28px 9px 20px;\n border-radius: 999px;\n color: #f5f5f7;\n font-size: 30px; font-weight: 600; letter-spacing: -0.6px;\n white-space: nowrap; opacity: 0;\n }\n .item svg { width: 26px; height: 26px; flex: none; opacity: 0.82; }\n .item svg * { vector-effect: non-scaling-stroke; }\n\n /* A contrapartida — mesma pilula, acento champagne. O unico acento do video. */\n #deal {\n position: absolute; left: 64px; top: 158px;\n display: inline-flex; align-items: center; gap: 14px;\n padding: 8px 30px 10px 24px;\n border-radius: 999px;\n border-color: rgba(233, 200, 127, 0.40);\n font-size: 31px; font-weight: 600; letter-spacing: -0.6px;\n white-space: nowrap; opacity: 0;\n }\n #deal .lbl { color: rgba(245,245,247,0.55); font-weight: 500; }\n #deal .val { color: #e9c87f; }\n </style>\n </head>\n <body>\n <div id=\"root\" data-composition-id=\"main\" data-start=\"0\" data-duration=\"10.2\"…File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/slot_4/index.html (file state is current in your context — no need to Read it back)raciocínio interno
I'm comparing each slot's actual duration against the EDL values, flagging mismatches to fix later—slot_2 is off by 0.2 and slot_4 by 0.7, while slots 1 and 3 match.
Checking build.py, I realize the EDL duration field is actually just informational since the overlay compositing uses the rendered file's real duration rather than the stored duration value, so there's no functional bug, though I'll still correct the EDL numbers for accuracy. Now moving on to verify slot_5.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/slot_5/index.html",
"content": "<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * { margin: 0; padding: 0; box-sizing: border-box; }\n html, body { width: 1080px; height: 1920px; overflow: hidden; background: transparent; }\n body {\n font-family: -apple-system, \"SF Pro Display\", \"SF Pro Text\", \"Inter\",\n \"Helvetica Neue\", sans-serif;\n -webkit-font-smoothing: antialiased;\n }\n .glass {\n background-color: rgba(16, 16, 18, 0.54);\n background-image: linear-gradient(157deg,\n rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,\n rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);\n border: 1.5px solid rgba(255,255,255,0.155);\n box-shadow:\n 0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),\n inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);\n }\n #band {\n position: absolute; left: 0; top: 44px;\n width: 1080px; height: 246px; overflow: hidden;\n }\n #card {\n position: absolute; left: 64px; top: 4px;\n display: inline-flex; align-items: baseline; gap: 20px;\n padding: 10px 38px 16px 32px;\n border-radius: 34px;\n opacity: 0;\n }\n #num {\n color: #e9c87f; /* champagne — o unico acento do video */\n font-size: 88px; font-weight: 700; letter-spacing: -3px;\n font-variant-numeric: tabular-nums; /* nao \"respira\" enquanto conta */\n line-height: 1;\n }\n #lbl {\n color: #f5f5f7;\n font-size: 33px; font-weight: 600; letter-spacing: -0.7px;\n white-space: nowrap; opacity: 0;\n }\n #lbl small {\n display: block; margin-top: 3px;\n color: rgba(245,245,247,0.55);\n font-size: 25px; font-weight: 500;\n }\n #out {\n position: absolute; left: 64px; top: 148px;\n display: inline-flex; align-items: center; gap: 14px;\n padding: 9px 30px 11px 22px;\n border-radius: 999px;\n color: #f5f5f7;\n font-size: 32px; font-weight: 600; letter-spacing: -0.6px;\n white-space: nowrap; opaci…File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/slot_5/index.html (file state is current in your context — no need to Read it back)Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\np=\"edit/edl.json\"; d=json.load(open(p))\nfor o,dur in zip(d[\"overlays\"],[7.6,8.2,7.0,10.2,7.2]): o[\"duration\"]=dur\njson.dump(d,open(p,\"w\"),indent=2,ensure_ascii=False)\nprint(\"duracoes sincronizadas:\",[o[\"duration\"] for o in d[\"overlays\"]])\nPY\ntail -12 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/byh4j1mxx.output",
"description": "Sync EDL overlay durations and check render"
}duracoes sincronizadas: [7.6, 8.2, 7.0, 10.2, 7.2]raciocínio interno
The render is still in progress, so I'll run the hyperframes check on slot_1 now rather than waiting, since it's lightweight compared to the render itself — though I should be mindful of memory pressure from running both simultaneously on this machine.
Vou validar os slots com o linter do HyperFrames.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations/slot_1 && npx --yes hyperframes@0.7.102 check 2>&1 | tail -40",
"description": "Run HyperFrames check on slot_1",
"timeout": 600000
}npm warn deprecated boolean@3.2.0: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.
npm warn deprecated node-domexception@1.0.0: Use your platform's native DOMException instead
◆ Checking slot_1
[INFO] [Compiler] Fetched 11 font face(s) for "Inter" from Google Fonts (cached to [oculto]/.cache/hyperframes/fonts/inter)
[INFO] [Compiler] Fetched 5 font face(s) for "Helvetica Neue" from Google Fonts (cached to [oculto]/.cache/hyperframes/fonts/helvetica-neue)
[INFO] [Compiler] Injected deterministic @font-face rules for 4 requested font families
[hyperframes] browserGpuMode probe → hardware (WebGL renderer vendor="Google Inc. (Apple)" renderer="ANGLE (Apple, ANGLE Metal Renderer: Apple M1, Unspecified Version)")
Lint
ℹ system_font_will_alias: Font families will be substituted at render time: 'sf pro display' → Inter, 'sf pro text' → Inter, 'helvetica neue' → Inter. The renderer maps these to bundled fonts for cross-platform consistency. Use the target font name directly for consistent preview and render results.
[oculto]/Desktop/aula-edit/edit/animations/slot_1/index.html [data-composition-id] t=0s
0 error(s), 0 warning(s), 1 info(s)
Runtime
◇ 0 errors, 0 warnings
Layout
◇ 0 issues across 9 sample(s)
Motion
◇ 0 errors, 0 warnings
Contrast
◇ 0/0 text checks pass WCAG AA
Snapshots
◇ disabled
◇ Check passed
This project pins hyperframes@0.7.102 (latest 0.8.4).
Bump it: npx hyperframes@latest upgrade --projectraciocínio interno
The renderer actually substitutes SF Pro/Helvetica Neue with Inter, so the rendered font will be Inter regardless — which matches the approved reference profile's output, so I should just specify Inter directly for consistency between preview and render.
Passou. O renderer substitui SF Pro → Inter (mesmo comportamento do edit aprovado, então o visual bate). Vou checar os outros quatro.
Bash
{
"command": "for i in 2 3 4 5; do echo \"════ slot_$i ════\"; cd [oculto]/Desktop/aula-edit/edit/animations/slot_$i && npx --yes hyperframes@0.7.102 check 2>&1 | grep -E \"error\\(s\\)|issues across|Check|✖|⚠|overflow|overlap|static|Lint|Layout|Motion\" | head -14; done",
"description": "Check remaining slots",
"timeout": 900000
}════ slot_2 ════
◆ Checking slot_2
Lint
0 error(s), 0 warning(s), 1 info(s)
Layout
◇ 0 issues across 9 sample(s)
Motion
◇ Check passed
════ slot_3 ════
◆ Checking slot_3
Lint
0 error(s), 0 warning(s), 1 info(s)
Layout
◇ 0 issues across 9 sample(s)
Motion
◇ Check passed
════ slot_4 ════
◆ Checking slot_4
Lint
0 error(s), 0 warning(s), 1 info(s)
Layout
◇ 0 issues across 9 sample(s)
Motion
◇ Check passed
════ slot_5 ════
◆ Checking slot_5
Lint
0 error(s), 0 warning(s), 1 info(s)
Layout
◇ 0 issues across 9 sample(s)
Motion
◇ Check passedBash
{
"command": "cd [oculto]/Desktop/aula-edit && tail -12 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/byh4j1mxx.output",
"description": "Check base render result after sync fix"
} [00] 6.406- 24.892 ( 18.49s)
[01] 25.492-112.112 ( 86.62s)
[02] 113.614-145.946 ( 32.33s)
[03] 195.395-212.245 ( 16.85s)
[04] 159.459-169.736 ( 10.28s)
video 164.564s audio 164.567s (delta +3 ms)
master.srt: 108 legendas
duracao real do base: 164.564s
pronto: [oculto]/Desktop/aula-edit/edit/preview_base.mp4 (52.1 MB) video 164.56s
[exited with code 0]raciocínio interno
The sync delta dropped from +421ms to just +3ms, so that's fixed. Now I want to self-evaluate the base by checking the cut boundaries, reordered edits, and grade, so I'm computing the timeline positions for each of the four cut boundaries in the rendered output.
I'll extract frame pairs around each cut boundary at ±0.15s, check the audio waveform there, and also verify the grade and zoom at the climax point using the timeline_view helper.
Sincronia resolvida: +421ms → +3ms. Agora a auto-avaliação da base — vou olhar as 4 emendas de corte no vídeo renderizado.
Bash
{
"command": "for t in 18.49 105.11 137.44 154.29; do\n a=$(echo \"$t - 0.20\" | bc); b=$(echo \"$t + 0.20\" | bc)\n ffmpeg -v error -ss $a -i edit/preview_base.mp4 -frames:v 1 -vf scale=300:-1 edit/verify/cut_${t}_antes.jpg -y\n ffmpeg -v error -ss $b -i edit/preview_base.mp4 -frames:v 1 -vf scale=300:-1 edit/verify/cut_${t}_depois.jpg -y\ndone\n# junta cada par lado a lado\nfor t in 18.49 105.11 137.44 154.29; do\n ffmpeg -v error -i edit/verify/cut_${t}_antes.jpg -i edit/verify/cut_${t}_depois.jpg \\\n -filter_complex \"[0][1]hstack\" edit/verify/emenda_${t}.jpg -y\ndone; ls edit/verify/emenda_1*.jpg edit/verify/emenda_*.jpg 2>/dev/null | tail -4",
"description": "Extract before/after frames at each cut",
"timeout": 180000
}edit/verify/emenda_18.49.jpg
edit/verify/emenda_195.5.jpg
edit/verify/emenda_195.5.jpg
edit/verify/emenda_212.0.jpgRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_137.44.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_154.29.jpg"
}[imagem]raciocínio interno
Checking the two remontage cuts: at 137.44 the zoom compensation between TESE and PROVOCAÇÃO works well, with matching head size and background making it a clean jump cut. At 154.29 the PROVOCAÇÃO to ASSINATURA cut also holds up, with similar head size despite a slight position shift — the compensation strategy is paying off. Now I want to check the remaining two cuts.
As duas emendas de remontagem funcionaram — a compensação de zoom deixou o tamanho da cabeça praticamente igual dos dois lados. Vou ver as outras duas.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_18.49.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/emenda_105.11.jpg"
}[imagem]raciocínio interno
Both silence cuts look clean with consistent framing. Now I need to render the 5 HyperFrames slots to ProRes 4444 MOV with alpha, one at a time given the 8GB RAM limit, starting with slot_1 and verifying the pix_fmt comes out as yuva as required by the profile.
I'm weighing whether to render sequentially in the background or verify slot_1 first before batching the rest — I'll render slot_1 in the foreground (228 frames at 30fps) and check it before committing to all 5. There's also a minor fps mismatch to consider: the composition runs at 30fps while the base video is 29.97fps, which could cause a tiny drift when overlaying, but since the overlay uses tpad with shortest=1, the ~0.1% difference over 10 seconds should be negligible and invisible in practice.
To be safe though, I'll force the overlay stream to match the base frame rate by adding an fps conversion right after the format step in the filter chain, guaranteeing alignment rather than relying on framesync to smooth it out. I'll patch build.py to add this fps conversion on the overlay inputs before rendering the slots.
Emendas de silêncio limpas também. Antes de renderizar os overlays, um ajuste: as composições são 30fps e a base 29,97 — vou forçar a taxa da base nos overlays para não haver deriva no framesync.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\nold=''' f.append(f\"[{i}:v]format=yuva420p,setpts=PTS-STARTPTS,\"'''\nnew=''' # As composicoes HyperFrames sao 30.0 e a base 29.97: sem converter, o\n # framesync do overlay repete/dropa frames por conta propria. Converte\n # ANTES do tpad, para o padding ja nascer na grade certa.\n f.append(f\"[{i}:v]format=yuva420p,fps={FPS_STR},setpts=PTS-STARTPTS,\"'''\nassert old in s\ns=s.replace(old,new)\nopen(p,\"w\").write(s)\nprint(\"ok\")\nPY\ngrep -n \"fps={FPS_STR}\" edit/build.py",
"description": "Force overlay fps to match base"
}ok
262: f.append(f"[{i}:v]format=yuva420p,fps={FPS_STR},setpts=PTS-STARTPTS,"Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations/slot_1 && npx --yes hyperframes@0.7.102 render . --format mov -o render.mov 2>&1 | tail -15 && echo \"=== pix_fmt ===\" && ffprobe -v error -select_streams v:0 -show_entries stream=pix_fmt,width,height,nb_frames,r_frame_rate -of default=nw=1 render.mov",
"description": "Render slot_1 to transparent MOV",
"timeout": 900000
} ███████████████████░░░░░░ 79% Streaming frame 224/228
███████████████████░░░░░░ 79% Streaming frame 225/228
████████████████████░░░░░ 80% Streaming frame 226/228
████████████████████░░░░░ 80% Streaming frame 227/228
[static-dedup] reused 48/228 frame(s) (21%), est. ~3648ms saved (avg 76ms/frame)
████████████████████░░░░░ 80% Streaming frame 228/228
[INFO] [Render:trace] {"renderJobId":"056061bc-b223-4492-91d6-7f8c9f102dbb","phase":"capture_streaming","status":"end","elapsedMs":26430,"durationMs":20156,"stagePhase":"capturing","workerCount":1,"forceScreenshot":true,"totalFrames":228,"framesCompleted":228,"captureMode":"screenshot","captureOperation":"encode"}
[INFO] [Render:trace] {"renderJobId":"056061bc-b223-4492-91d6-7f8c9f102dbb","phase":"assemble","status":"start","elapsedMs":26431,"stagePhase":"capturing","hasAudio":false,"workerCount":1,"forceScreenshot":true,"totalFrames":228,"framesCompleted":228,"captureMode":"screenshot","captureOperation":"encode"}
██████████████████████░░░ 90% Assembling final video
[INFO] [Render:trace] {"renderJobId":"056061bc-b223-4492-91d6-7f8c9f102dbb","phase":"assemble","status":"end","elapsedMs":26589,"durationMs":157,"stagePhase":"capturing","hasAudio":false,"workerCount":1,"forceScreenshot":true,"totalFrames":228,"framesCompleted":228,"captureMode":"screenshot","captureOperation":"encode"}
[INFO] [Render:trace] {"renderJobId":"056061bc-b223-4492-91d6-7f8c9f102dbb","phase":"pipeline","status":"checkpoint","elapsedMs":26590,"message":"artifact validated","totalElapsedMs":26590}
█████████████████████████ 100% Render complete
◇ [oculto]/Desktop/aula-edit/edit/animations/slot_1/render.mov
47.9 MB · 7.6s video · rendered in 26.6s
=== pix_fmt ===
width=1080
height=1920
pix_fmt=yuva444p12le
r_frame_rate=30/1
nb_frames=228raciocínio interno
Good, the alpha channel format is confirmed working. Now I'll queue up the remaining four clips to render sequentially in the background — roughly 32.6 seconds of total video across slots 2 through 5, each taking about 30 seconds to render.
Alpha real confirmado (yuva444p12le). Vou renderizar os outros quatro em série (8 GB de RAM — um por vez).
Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations && for i in 2 3 4 5; do\n echo \"════ renderizando slot_$i ════\"\n (cd slot_$i && npx --yes hyperframes@0.7.102 render . --format mov -o render.mov 2>&1 | tail -3)\ndone; echo \"════ verificacao ════\"\nfor i in 1 2 3 4 5; do\n printf \"slot_%s \" $i\n ffprobe -v error -select_streams v:0 -show_entries stream=pix_fmt -show_entries format=duration -of default=nw=1:nk=1 slot_$i/render.mov | tr '\\n' ' '\n echo \"\"\ndone",
"description": "Render remaining four slots",
"timeout": 1800000
}════ renderizando slot_2 ════
◇ [oculto]/Desktop/aula-edit/edit/animations/slot_2/render.mov
31.9 MB · 8.2s video · rendered in 22.8s
════ renderizando slot_3 ════
◇ [oculto]/Desktop/aula-edit/edit/animations/slot_3/render.mov
42.7 MB · 7.0s video · rendered in 20.9s
════ renderizando slot_4 ════
◇ [oculto]/Desktop/aula-edit/edit/animations/slot_4/render.mov
53.5 MB · 10.2s video · rendered in 25.7s
════ renderizando slot_5 ════
◇ [oculto]/Desktop/aula-edit/edit/animations/slot_5/render.mov
41.7 MB · 7.2s video · rendered in 20.4s
════ verificacao ════
slot_1 yuva444p12le 7.600000
slot_2 yuva444p12le 8.200000
slot_3 yuva444p12le 7.000000
slot_4 yuva444p12le 10.200000
slot_5 yuva444p12le 7.200000raciocínio interno
All 5 slots rendered correctly with alpha and proper durations. Before running the full composite with batches of 3, I want to do a cheaper spot check first—compositing just the title over a short section to verify the frosted glass effect looks right.
Since build.py doesn't support partial rendering, I'll write a small test script that extracts about 10 seconds of base footage around the title's start time (roughly 0.6s into output) and composites slot_1 onto it, reusing the same filter logic from build.py. This costs about 30 seconds versus risking 10 minutes on a full render that might need redoing.
Os cinco com alpha e durações corretas. Antes do composite completo, um teste rápido de 10s para conferir o vidro fosco.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit && ffmpeg -v error -ss 0 -t 10 -i edit/preview_base.mp4 -c:v libx264 -crf 20 -preset veryfast -c:a aac /tmp/_t_base.mp4 -y && ~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nbuild.build_final_composite_glass(Path(\"/tmp/_t_base.mp4\"),\n [{\"file\":\"animations/slot_1/render.mov\",\"start_in_output\":0.594}],\n None, Path(\"/tmp/_t_glass.mp4\"), Path(\"edit\"))\nprint(\"ok\")\nPY\nfor t in 1.6 3.2 5.0; do ffmpeg -v error -ss $t -i /tmp/_t_glass.mp4 -frames:v 1 -vf scale=460:-1 edit/verify/glass_$t.jpg -y; done; ls edit/verify/glass*",
"description": "Spot-test the frosted glass composite",
"timeout": 600000
}compositing (frosted glass) → _t_glass.mp4 [1 overlays, sigma 40]
ok
edit/verify/glass_1.6.jpg
edit/verify/glass_3.2.jpg
edit/verify/glass_5.0.jpgRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/glass_3.2.jpg"
}[imagem]raciocínio interno
The glass panel effect works well - the frosted look is convincing, the ceiling behind is properly blurred with its warm tone coming through, and the text stays legible with good clearance around the card. Let me zoom in to double-check the edge quality and sheen before moving on.
Bash
{
"command": "ffmpeg -v error -ss 3.2 -i /tmp/_t_glass.mp4 -frames:v 1 -vf \"crop=1080:330:0:20,scale=900:-1\" edit/verify/glass_zoom.jpg -y && ffmpeg -v error -ss 3.2 -i edit/preview_base.mp4 -frames:v 1 -vf \"crop=1080:330:0:20,scale=900:-1\" edit/verify/glass_zoom_semoverlay.jpg -y && echo ok",
"description": "Crop the glass panel region for close inspection",
"timeout": 180000
}okRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/glass_zoom.jpg"
}[imagem]raciocínio interno
The frosted glass effect looks great — the track-lighting rail stays sharp outside the panel but blurs and dissolves inside it, picking up the green and cream tones behind it, with rounded corners, a thin luminous border, and crisp legible text. This matches exactly what was requested: using the video itself as the blur background for the overlay. Now I'm moving on to run the full composite.
Since the preview already validated the approach, I'll skip straight to the final render at crf17 with the slow preset rather than previewing again — though that means a longer processing time, maybe 10-20 minutes for extraction plus compositing across 26 segments on limited memory. I'll kick this off in the background, disabling subtitles since libass isn't available, and keeping loudnorm enabled.
I'm weighing whether to batch all 5 segments in one pass versus splitting into multiple passes — doing it in two passes means two re-encodes and some modest quality loss, but one pass risks running out of memory and getting killed mid-render. I'll try the larger batch first and fall back to splitting if it fails.
Actually, a cleaner approach: separate the extraction step from the compositing step entirely. First I'll run the build script with overlays, subtitles, and loudnorm disabled to produce a clean base video file. Then I'll run the compositing as a separate step from that base file, adding all the overlays and loudnorm afterward — this way if the composite step fails, I don't have to redo the expensive extraction. Starting step one now in the background.
O vidro fosco está correto — repare que o trilho de luz preto está nítido fora do painel e completamente dissolvido dentro dele. O desfoque está saindo do próprio frame, com os tons verde e creme do set atravessando o vidro.
Agora o render final. Vou separar extração e composite, para poder repetir o composite sem reextrair os 26 segmentos.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/build.py -o edit/_base_only.mp4 --no-subtitles --no-overlays --no-loudnorm 2>&1 | tail -8",
"description": "Extract final quality segments and build base",
"run_in_background": true
}Command running in background with ID: b4rj38c4h. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output. You will be notified when it completes. To check interim output, use Read on that file path.raciocínio interno
While that runs, I want to write the composite script and spot-check slots 2-5 visually against the base, computing their output positions from the quantized ranges to make sure each slot's content fits without overflow, even though the linter already confirmed the layout is fine.
Rather than rendering the full composite to check, it's cheaper to render each slot alone over a solid color or use a short segment per slot with the preview base. First I need to compute the output anchors for each slot.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json; sys.path.insert(0,\"edit\")\nimport build\nfrom pathlib import Path\nedl=json.load(open(\"edit/edl.json\"))\nranges=build.quantize(edl[\"ranges\"])\nreal=[r[\"end\"]-r[\"start\"] for r in ranges] # ja snapado = duracao real\nfor o in edl[\"overlays\"]:\n a=o[\"source_anchor\"]\n print(f\"{Path(o['file']).parent.name} fonte {a:7.2f}s -> saida {build.src_to_real_out(a,ranges,real):7.3f}s ({o['nota']})\")\nPY",
"description": "Compute overlay output positions"
}slot_1 fonte 7.00s -> saida 0.594s (titulo)
slot_2 fonte 49.23s -> saida 42.223s (custo de uma venda)
slot_3 fonte 62.06s -> saida 55.053s (1992 Rodenburg)
slot_4 fonte 82.36s -> saida 75.353s (a proposta)
slot_5 fonte 104.76s -> saida 97.753s (payoff)Bash erro
{
"command": "for cfg in \"2 42.223 7.0\" \"3 55.053 4.5\" \"4 75.353 8.6\" \"5 97.753 4.2\"; do\nset -- $cfg; i=$1; pos=$2; peek=$3\nffmpeg -v error -ss $(echo \"$pos - 0.5\"|bc) -t 12 -i edit/preview_base.mp4 -c:v libx264 -crf 22 -preset veryfast -an /tmp/_s$i.mp4 -y\n~/Developer/video-use/.venv/bin/python - \"$i\" <<'PY'\nimport sys; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\ni=sys.argv[1]\nbuild.build_final_composite_glass(Path(f\"/tmp/_s{i}.mp4\"),\n [{\"file\":f\"animations/slot_{i}/render.mov\",\"start_in_output\":0.5}],\n None, Path(f\"/tmp/_g{i}.mp4\"), Path(\"edit\"))\nPY\nffmpeg -v error -ss $peek -i /tmp/_g$i.mp4 -frames:v 1 -vf \"crop=1080:330:0:20,scale=880:-1\" edit/verify/slot${i}_zoom.jpg -y\ndone; ls edit/verify/slot*_zoom.jpg",
"description": "Spot-check slots 2-5 composited over base",
"timeout": 900000
}Exit code 1
Invalid duration for option ss: -.5
Error parsing options for input file edit/preview_base.mp4.
Error opening input files: Invalid argument
Traceback (most recent call last):
File "<stdin>", line 5, in <module>
File "[oculto]/Desktop/aula-edit/edit/build.py", line 240, in build_final_composite_glass
total = seg_real_duration(base_path)
File "[oculto]/Desktop/aula-edit/edit/build.py", line 63, in seg_real_duration
return float(out)
ValueError: could not convert string to float: ''
Invalid duration for option ss: -i
Error parsing options for output file /tmp/_g2 42.223 7.0.mp4.
Error opening output files: Invalid argument
Invalid duration for option ss: -.5
Error parsing options for input file edit/preview_base.mp4.
Error opening input files: Invalid argument
Traceback (most recent call last):
File "<stdin>", line 5, in <module>
File "[oculto]/Desktop/aula-edit/edit/build.py", line 240, in build_final_composite_glass
total = seg_real_duration(base_path)
File "[oculto]/Desktop/aula-edit/edit/build.py", line 63, in seg_real_duration
return float(out)
ValueError: could not convert string to float: ''
Invalid duration for option ss: -i
Error parsing options for output file /tmp/_g3 55.053 4.5.mp4.
Error opening output files: Invalid argument
Invalid duration for option ss: -.5
Error parsing options for input file edit/preview_base.mp4.
Error opening input files: Invalid argument
Traceback (most recent call last):
File "<stdin>", line 5, in <module>
File "[oculto]/Desktop/aula-edit/edit/build.py", line 240, in build_final_composite_glass
total = seg_real_duration(base_path)
File "[oculto]/Desktop/aula-edit/edit/build.py", line 63, in seg_real_duration
return float(out)
ValueError: could not convert string to float: ''
Invalid duration for option ss: -i
Error parsing options for output file /tmp/_g4 75.353 8.6.mp4.
Error opening output files: Invalid argument
Invalid duration for option ss: -.5
Error parsing options for input file edit/preview_base.mp4.
Error opening input files: Invalid argument
Traceback (most recent call last):
File "<stdin>", line 5, in <module>
File "[oculto]/Desktop/aula-edit/edit/build.py", line 240, in build_final_composite_glass
total = seg_real_duration(base_path)
File "[oculto]/Desktop/aula-edit/edit/build.py", line 63, in seg_real_duration
return float(out)
ValueError: could not convert string to float: ''
Invalid duration for option ss: -i
Error parsing options for output file /tmp/_g5 97.753 4.2.mp4.
Error opening output files: Invalid argument
(eval):14: no matches found: edit/verify/slot*_zoom.jpgraciocínio interno
I see the issue - the set -- inside the loop was overwriting $1, causing bc to output "-.5" incorrectly. I'll switch to pure Python to avoid this shell variable clobbering problem.
Erro meu no shell (set -- atropelou os argumentos). Refazendo em Python.
Bash erro
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, subprocess; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nJOBS=[(2,42.223,7.0),(3,55.053,4.5),(4,75.353,8.6),(5,97.753,4.2)]\nfor i,pos,peek in JOBS:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{pos-0.5:.3f}\",\"-t\",\"13\",\n \"-i\",\"edit/preview_base.mp4\",\"-c:v\",\"libx264\",\"-crf\",\"22\",\n \"-preset\",\"veryfast\",\"-an\",f\"/tmp/_s{i}.mp4\",\"-y\"],check=True)\n build.build_final_composite_glass(Path(f\"/tmp/_s{i}.mp4\"),\n [{\"file\":f\"animations/slot_{i}/render.mov\",\"start_in_output\":0.5}],\n None, Path(f\"/tmp/_g{i}.mp4\"), Path(\"edit\"))\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{peek}\",\"-i\",f\"/tmp/_g{i}.mp4\",\n \"-frames:v\",\"1\",\"-vf\",\"crop=1080:340:0:18,scale=880:-1\",\n f\"edit/verify/slot{i}_zoom.jpg\",\"-y\"],check=True)\n print(f\"slot_{i} ok\")\nPY",
"description": "Spot-check slots 2-5 composited over base",
"timeout": 900000
}Exit code 1
compositing (frosted glass) → _g2.mp4 [1 overlays, sigma 40]
Traceback (most recent call last):
File "<stdin>", line 9, in <module>
File "[oculto]/Desktop/aula-edit/edit/build.py", line 291, in build_final_composite_glass
subprocess.run(
File "[oculto]/.local/share/uv/python/cpython-3.10-macos-aarch64-none/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ffmpeg', '-y', '-i', '/tmp/_s2.mp4', '-i', '[oculto]/Desktop/aula-edit/edit/animations/slot_2/render.mov', '-filter_complex', "[0:v]split=2[b1][b2];[b1]eq=saturation=1.18:brightness=0.015,gblur=sigma=40:steps=3,format=yuva420p[bl];color=c=black:s=1080x1920:r=30000/1001:d=13.013,format=gray[mk0];[1:v]format=yuva420p,fps=30000/1001,setpts=PTS-STARTPTS,tpad=start_duration=0.500:stop_duration=4.313:start_mode=add:stop_mode=add:color=0x00000000,split=2[oa1][ob1];[oa1]alphaextract,format=yuv420p,lutyuv=y='clip((val-40)*1.9+40,0,255)',format=gray[m1];[mk0][m1]blend=all_mode=lighten:shortest=1[mk1];[bl][mk1]alphamerge[frost];[b2][frost]overlay=format=auto:shortest=1[bg];[bg][ob1]overlay=format=auto:shortest=1[v1];[v1]null[outv]", '-map', '[outv]', '-map', '0:a', '-c:v', 'libx264', '-preset', 'fast', '-crf', '18', '-pix_fmt', 'yuv420p', '-c:a', 'copy', '-movflags', '+faststart', '/tmp/_g2.mp4']' returned non-zero exit status 234.raciocínio interno
Ah, the issue is I extracted the test clips with no audio stream, but the command expects one. I need to fix the test by including audio when extracting the clips instead of stripping it out.
O clipe de teste saiu sem áudio e o composite mapeia 0:a. Corrigindo.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, subprocess; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nJOBS=[(2,42.223,7.0),(3,55.053,4.5),(4,75.353,8.6),(5,97.753,4.2)]\nfor i,pos,peek in JOBS:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{pos-0.5:.3f}\",\"-t\",\"13\",\n \"-i\",\"edit/preview_base.mp4\",\"-c:v\",\"libx264\",\"-crf\",\"22\",\n \"-preset\",\"veryfast\",\"-c:a\",\"aac\",f\"/tmp/_s{i}.mp4\",\"-y\"],check=True)\n build.build_final_composite_glass(Path(f\"/tmp/_s{i}.mp4\"),\n [{\"file\":f\"animations/slot_{i}/render.mov\",\"start_in_output\":0.5}],\n None, Path(f\"/tmp/_g{i}.mp4\"), Path(\"edit\"))\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{peek}\",\"-i\",f\"/tmp/_g{i}.mp4\",\n \"-frames:v\",\"1\",\"-vf\",\"crop=1080:340:0:18,scale=880:-1\",\n f\"edit/verify/slot{i}_zoom.jpg\",\"-y\"],check=True)\n print(f\"slot_{i} ok\")\nPY",
"description": "Spot-check slots 2-5 with audio present",
"timeout": 900000
}compositing (frosted glass) → _g2.mp4 [1 overlays, sigma 40]
slot_2 ok
compositing (frosted glass) → _g3.mp4 [1 overlays, sigma 40]
slot_3 ok
compositing (frosted glass) → _g4.mp4 [1 overlays, sigma 40]
slot_4 ok
compositing (frosted glass) → _g5.mp4 [1 overlays, sigma 40]
slot_5 okRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/slot2_zoom.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/slot4_zoom.jpg"
}[imagem]raciocínio interno
I notice the header uses uppercase text, but the style profile explicitly calls for sentence case since all-caps reads as shouting and breaks the tone. I should fix that to stay faithful to the guidelines, even though uppercase is a common iOS pattern.
Also the header is floating directly over the bright ceiling with no glass panel behind it, which hurts legibility — I should give it a frosted chip background. Meanwhile slot_4's state transition looks great, with the dimmed offer pills and the lit accent pill working nicely together. Let me fix slot_2's header and then move on to checking slot_3 and slot_5.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/slot3_zoom.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/slot5_zoom.jpg"
}[imagem]raciocínio interno
Slots 3 and 5 look good. For slot 5, I'm double-checking the timing math on the "um exército de mensageiros dispensado" pill — it should be visible in the crop given the overlay-relative time of 3.7s, so I'm verifying the coordinates line up correctly.
Now I want to fix slot_2's header for sentence case and legibility — turning "Para uma única venda" into a glass chip with sentence case rather than a standalone header, so it matches the style of the other pills while still giving context. I'll also check on the background extraction job.
slot_3 e slot_5 estão certos. Um ajuste no slot_2: usei caixa-alta no cabeçalho, o que contraria o §4.2 do perfil ("caixa-alta lê como grito"), e o texto ficou solto sobre o teto claro, com pouco contraste. Vou dar vidro a ele e voltar para sentence case.
Edit
{
"replace_all": false,
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/slot_2/index.html",
"old_string": " #head {\n position: absolute; left: 70px; top: 2px;\n color: rgba(245,245,247,0.60);\n font-size: 27px; font-weight: 600; letter-spacing: 0.6px;\n text-transform: uppercase; opacity: 0;\n }",
"new_string": " /* Sentence case e sobre vidro: caixa-alta le como grito (perfil §4.2), e\n texto solto sobre o teto claro do set nao tem contraste. */\n #head {\n position: absolute; left: 64px; top: 0px;\n display: inline-block;\n padding: 5px 22px 7px 22px;\n border-radius: 999px;\n color: rgba(245,245,247,0.72);\n font-size: 26px; font-weight: 600; letter-spacing: -0.2px;\n white-space: nowrap; opacity: 0;\n }"
}The file [oculto]/Desktop/aula-edit/edit/animations/slot_2/index.html has been updated successfully. (file state is current in your context — no need to Read it back)Bash
{
"command": "sed -i '' 's|<div id=\"head\">Para uma única venda</div>|<div id=\"head\" class=\"glass\">Para uma única venda</div>|' edit/animations/slot_2/index.html && grep -n 'id=\"head\"' edit/animations/slot_2/index.html && tail -6 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output",
"description": "Add glass class to header and check extraction progress"
}58: <div id="head" class="glass">Para uma única venda</div>raciocínio interno
With the head pill at top and items starting lower, the spacing checks out and everything fits within bounds. I'll re-render slot_2 and check on the extraction job status.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations/slot_2 && npx --yes hyperframes@0.7.102 check 2>&1 | grep -E \"error\\(s\\)|issues across|Check passed|✖\" && npx --yes hyperframes@0.7.102 render . --format mov -o render.mov 2>&1 | tail -3",
"description": "Recheck and re-render slot_2",
"timeout": 900000
} 0 error(s), 0 warning(s), 1 info(s)
◇ 0 issues across 9 sample(s)
◇ Check passed
◇ [oculto]/Desktop/aula-edit/edit/animations/slot_2/render.mov
35.1 MB · 8.2s video · rendered in 39.4sBash
{
"command": "cd [oculto]/Desktop/aula-edit && ~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, subprocess; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nbuild.build_final_composite_glass(Path(\"/tmp/_s2.mp4\"),\n [{\"file\":\"animations/slot_2/render.mov\",\"start_in_output\":0.5}],\n None, Path(\"/tmp/_g2.mp4\"), Path(\"edit\"))\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",\"7.6\",\"-i\",\"/tmp/_g2.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"crop=1080:340:0:18,scale=880:-1\",\"edit/verify/slot2_zoom.jpg\",\"-y\"],check=True)\nPY\necho \"--- extracao final ---\"; tail -4 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output",
"description": "Re-verify slot_2 and check extraction",
"timeout": 600000
}compositing (frosted glass) → _g2.mp4 [1 overlays, sigma 40]
--- extracao final ---Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/slot2_zoom.jpg"
}[imagem]raciocínio interno
Slot_2 looks good now with the sentence case header on glass and three legible pills with icons. The extraction job is still running with no output yet, so I'll check its progress.
slot_2 corrigido. Vou acompanhar a extração final.
Bash
{
"command": "ls edit/clips_graded/ 2>/dev/null | grep -c seg; ps aux | grep \"[f]fmpeg\" | grep -o \"seg_[0-9]*.mp4\" | head -1",
"description": "Check final extraction progress"
}13
seg_12.mp4raciocínio interno
While the slow preset encode runs in the background, I'll write the project.md memory file and think through the final composite approach. I'm weighing whether to do the five overlays in one pass versus two passes—since two passes means re-encoding the whole video twice and losing quality, I'm looking for a way to keep it to a single pass while managing memory, since the overlays don't overlap in time.
Reconsidering the memory worry: ffmpeg streams frames rather than holding everything at once, so even with five overlays and a blend chain, buffering should stay in the hundreds of MB range, well within an 8GB machine. The earlier crash was likely caused by mismatched tpad durations causing framesync to hold excess frames, not a fundamental memory limit—so with correctly balanced tpad streams, a single five-overlay pass should work, and I'll fall back to three overlays if it fails.
Metade dos segmentos. Vou escrever a memória do projeto enquanto termina.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/project.md",
"content": "# aula-edit — \"O Galileu de 2026\" (Rafael Santos)\n\nFonte: `video1.mp4` — 1080×1920 vertical (rotação `-90` nos metadados), 59.94fps,\n3:36, talking head com LED verde de fundo. Reels/Shorts.\n\n## Sessão 1 — 2026-08-20\n\n**Estratégia.** O material se auto-edita: em 2:50 o Rafael fala com o editor\n(\"vou só ajustar aqui, Solon... pra finalizar melhor a provocação\") e regrava o\nfinal duas vezes. O corte remove slate, erro de fala, a provocação v1 que ele\nsubstituiu, a conversa com o editor, o retake falho e o \"vou de novo\"; depois\nremonta o final com o retake v3 (o bom, com a síndrome de Gabriela) e move a\nassinatura/CTA para o fim. 3:36 → **2:44,6** (−51,4 s).\n\n**Decisões e porquês**\n\n- **Corte de palavra autorizado explicitamente neste vídeo.** O perfil do HD\n (§2) proíbe cortar palavra sem autorização vídeo a vídeo; o usuário pediu\n (\"corte os trechos onde eu errei e repeti a frase\"). A autorização **não vale\n para o próximo vídeo**.\n- **Silêncios preservados de propósito:** a cadência da enumeração (\"dois, três\n mensageiros, quatro telefonemas\") e a pausa dramática antes de \"mais de\n quatrocentas agências\". Só 2 silêncios estruturais foram cortados (0,59 s e\n 1,49 s) — o resto do tempo veio de remover trechos inteiros.\n- **Zoom: 26 segmentos, 21 punches, 5 cortes de áudio.** Clímax único em 1,32×\n (\"em 2026, o mensageiro é digital\"). Ênfase ≥1,25× no payoff das 400 agências\n e na síndrome de Gabriela, a pedido do usuário.\n- **A escada também disfarça a remontagem.** Em 195 s ele está bem mais perto da\n câmera do que em 145 s, e em 159 s mais recuado que em 212 s. As duas emendas\n de remontagem entram com o zoom compensando o tamanho da cabeça (1,20→1,00 e\n 1,25→1,14). Verificado em frame.\n\n**Achados desta fonte que contrariam o perfil do HD — não copie os números de lá**\n\n1. **Sem folga de resolução.** A fonte é 1080×1920 nativo, não 4K. O teto de\n zoom \"lossless ≤ 2,0\" do perfil **não vale aqui**: todo zoom > 1,00 é\n reamplicação real. Usado `flags=lanczos`. O usuário aceitou o custo.\n2. **`Y_BIAS = 0.12`, não 0.28.** Medido: topo da cabeça chega a y=312 na fonte.\n Com 0,28 a banda de overlay invadia o cabelo a partir de 1,25×. Com 0,12 o\n topo fica em ~317 px na saída em todos os níveis.\n3. **Banda `top 44 / altura 246`** (não `top 60 / 372`). Derivada da medição\n acima. Mexeu no `Y_BIAS` ou na escada → r…File created successfully at: [oculto]/Desktop/aula-edit/edit/project.md (file state is current in your context — no need to Read it back)Bash erro
{
"command": "sleep 120; ls edit/clips_graded/ | grep -c seg; tail -5 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output",
"description": "Wait and check extraction progress",
"timeout": 300000
}<tool_use_error>Blocked: sleep 120 followed by: ls edit/clips_graded/ grep -c seg tail -5 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output. To wait for a condition, use Monitor with an until-loop (e.g. `until <check>; do sleep 2; done`). To wait for a command you started, use run_in_background: true. Do not chain shorter sleeps to work around this block.</tool_use_error>ToolSearch
{
"query": "select:Monitor",
"max_results": 1
}Bash
{
"command": "until [ -f edit/_base_only.mp4 ]; do sleep 5; done; echo \"extracao concluida\"",
"description": "Wait for extraction to finish",
"run_in_background": true
}Command running in background with ID: b3b90tq91. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b3b90tq91.output. You will be notified when it completes. To check interim output, use Read on that file path.raciocínio interno
Re-running build.py would needlessly re-extract all segments, so instead I'll write a separate composite-only script that takes the base edit video and applies overlays plus loudnorm directly.
Vou preparar um script de composite separado, para não reextrair os 26 segmentos.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/composite.py",
"content": "\"\"\"Composite dos overlays sobre um base.mp4 ja extraido, + loudnorm.\n\nSeparado do build.py de proposito: a extracao dos 26 segmentos em preset slow\nleva ~15 min, e o composite pode precisar de mais de uma tentativa (memoria).\nAssim da para repetir o composite sem reextrair nada.\n\n ~/Developer/video-use/.venv/bin/python edit/composite.py \\\n --base edit/base.mp4 -o edit/final.mp4\n\"\"\"\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport subprocess\nimport sys\nfrom pathlib import Path\n\nsys.path.insert(0, str(Path(__file__).resolve().parent))\nsys.path.insert(0, str(Path.home() / \"Developer\" / \"video-use\" / \"helpers\"))\n\nimport build # noqa: E402\nfrom render import apply_loudnorm_two_pass # noqa: E402\n\nEDIT = Path(__file__).resolve().parent\n\n\ndef main() -> None:\n ap = argparse.ArgumentParser()\n ap.add_argument(\"--base\", type=Path, required=True)\n ap.add_argument(\"-o\", \"--output\", type=Path, required=True)\n ap.add_argument(\"--batch\", type=int, default=5,\n help=\"overlays por passada; menor = menos RAM, mais reencode\")\n ap.add_argument(\"--no-loudnorm\", action=\"store_true\")\n args = ap.parse_args()\n\n edl = json.loads((EDIT / \"edl.json\").read_text())\n ranges = build.quantize(edl[\"ranges\"])\n real = [r[\"end\"] - r[\"start\"] for r in ranges] # ja snapado na grade\n\n base = args.base.resolve()\n total = build.seg_real_duration(base)\n\n overlays = []\n for o in edl.get(\"overlays\") or []:\n f = EDIT / o[\"file\"]\n if not f.exists():\n sys.exit(f\"faltando: {o['file']}\")\n start = build.src_to_real_out(float(o[\"source_anchor\"]), ranges, real)\n print(f\" {Path(o['file']).parent.name}: fonte {o['source_anchor']:7.2f}s \"\n f\"-> saida {start:7.3f}s {o.get('nota','')}\")\n overlays.append({**o, \"start_in_output\": round(start, 3)})\n\n print(f\" base {total:.3f}s · {len(overlays)} overlays · lote {args.batch}\")\n\n out = args.output.resolve()\n if args.no_loudnorm:\n build.composite_in_passes(base, overlays, None, out, EDIT, args.batch)\n else:\n tmp = out.with_suffix(\".prenorm.mp4\")\n build.composite_in_passes(base, overlays, None, tmp, EDIT, args.batch)\n print(\"loudnorm -> -14 LUFS / -1 dBT…File created successfully at: [oculto]/Desktop/aula-edit/edit/composite.py (file state is current in your context — no need to Read it back)Bash
{
"command": "ls edit/clips_graded/ | grep -c seg; ls -la edit/base.mp4 edit/_base_only.mp4 2>/dev/null; tail -4 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output",
"description": "Check extraction status"
}16raciocínio interno
Still at 16/26, waiting on the background notification. While I wait, I'll check master.srt to verify subtitle quality, keeping in mind it'll be regenerated during the final run anyway.
Bash
{
"command": "head -24 edit/master.srt; echo \"...\"; grep -c \"^[0-9]*$\" edit/master.srt",
"description": "Inspect generated SRT"
}1
00:00:00,034 --> 00:00:01,703
Até o começo dos anos 90,
2
00:00:01,994 --> 00:00:04,374
agência de viagem funcionava com a
3
00:00:04,394 --> 00:00:07,274
tropa de mensageiros andando pra cima
4
00:00:07,294 --> 00:00:08,494
e pra baixo de bicicleta.
5
00:00:09,034 --> 00:00:10,354
algumas grandes agências,
6
00:00:10,654 --> 00:00:13,834
havia algumas dezenas de mensageiros rodando
...
215raciocínio interno
Found the bug: entry 5 is missing the word "Em" from "Em algumas grandes agências." This happens because my segment-building logic filters words by strict start/end boundaries, and due to floating-point quantization, the word "Em" at the exact punch boundary (15.34) falls just outside the rounded boundary (15.348), so it gets excluded from the segment.
This is a real bug — words straddling punch boundaries get silently dropped from the SRT. I need to fix the segment assignment to use each word's midpoint falling within a range, rather than requiring full containment, so every word gets assigned to exactly one segment and none are lost. I'll also clean up the convoluted entries-accumulation logic while I'm at it.
Bug na legenda: a entrada 5 saiu "algumas grandes agências" — falta o "Em". A palavra cai exatamente na fronteira de um punch (15,34s) e meu filtro exigia a palavra inteira dentro do segmento, então ela sumiu nas duas bordas. Vou trocar por atribuição pelo ponto médio.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/build.py",
"offset": 183,
"limit": 50
}183 def build_srt(edl, ranges, real, out_path):
184 """SRT no timeline de SAIDA, com as duracoes reais medidas.
185
186 Nao e queimado (o ffmpeg desta maquina nao tem libass) — e para o usuario
187 importar no editor dele, entao quebra em frase legivel, nao em 2 palavras.
188 """
189 tr = json.loads((EDIT / "transcripts" / "video1.json").read_text())
190 words = [w for w in tr["words"] if w.get("type") == "word"]
191
192 def fmt(t):
193 h, rem = divmod(max(0.0, t), 3600)
194 m, s = divmod(rem, 60)
195 return f"{int(h):02d}:{int(m):02d}:{s:06.3f}".replace(".", ",")
196
197 entries, idx = [], 0
198 for r, d in zip(ranges, real):
199 a, b = float(r["start"]), float(r["end"])
200 off = src_to_real_out(a, ranges, real)
201 scale = d / (b - a)
202 seg = [w for w in words if w["start"] >= a and w["end"] <= b]
203 chunk = []
204 for w in seg:
205 chunk.append(w)
206 txt = (w.get("text") or "").strip()
207 if len(chunk) >= 6 or (txt and txt[-1] in ".,!?:;"):
208 entries.append(chunk); chunk = []
209 if chunk:
210 entries.append(chunk)
211 for c in entries[idx:]:
212 c.append({"_off": off, "_a": a, "_scale": scale})
213 idx = len(entries)
214
215 lines = []
216 for i, c in enumerate(entries, 1):
217 meta = c[-1]; ws = c[:-1]
218 if not ws:
219 continue
220 st = meta["_off"] + (ws[0]["start"] - meta["_a"]) * meta["_scale"]
221 en = meta["_off"] + (ws[-1]["end"] - meta["_a"]) * meta["_scale"]
222 text = " ".join((w.get("text") or "").strip() for w in ws)
223 lines.append(f"{i}\n{fmt(st)} --> {fmt(en)}\n{text}\n")
224 out_path.write_text("\n".join(lines), encoding="utf-8")
225 print(f" master.srt: {len(lines)} legendas")
226
227
228 def build_final_composite_glass(base_path, overlays, subtitles_path, out_path, edit_dir):
229 """Composite com backdrop-blur REAL — o 'frosted' do vidro da Apple.
230
231 Os overlays sao renderizados isolados, em alpha, entao `backdrop-filter` no
232 HTML nao tem imagem por baixo para borrar: sem isso o painel fica de vidroEdit
{
"replace_all": false,
"file_path": "[oculto]/Desktop/aula-edit/edit/build.py",
"old_string": " entries, idx = [], 0\n for r, d in zip(ranges, real):\n a, b = float(r[\"start\"]), float(r[\"end\"])\n off = src_to_real_out(a, ranges, real)\n scale = d / (b - a)\n seg = [w for w in words if w[\"start\"] >= a and w[\"end\"] <= b]\n chunk = []\n for w in seg:\n chunk.append(w)\n txt = (w.get(\"text\") or \"\").strip()\n if len(chunk) >= 6 or (txt and txt[-1] in \".,!?:;\"):\n entries.append(chunk); chunk = []\n if chunk:\n entries.append(chunk)\n for c in entries[idx:]:\n c.append({\"_off\": off, \"_a\": a, \"_scale\": scale})\n idx = len(entries)\n\n lines = []\n for i, c in enumerate(entries, 1):\n meta = c[-1]; ws = c[:-1]\n if not ws:\n continue\n st = meta[\"_off\"] + (ws[0][\"start\"] - meta[\"_a\"]) * meta[\"_scale\"]\n en = meta[\"_off\"] + (ws[-1][\"end\"] - meta[\"_a\"]) * meta[\"_scale\"]\n text = \" \".join((w.get(\"text\") or \"\").strip() for w in ws)\n lines.append(f\"{i}\\n{fmt(st)} --> {fmt(en)}\\n{text}\\n\")",
"new_string": " # Cada palavra pertence ao segmento que contem seu PONTO MEDIO.\n #\n # Exigir a palavra inteira dentro do range (start >= a and end <= b) perde\n # toda palavra que atravessa uma emenda de punch: com 21 punches, o \"Em\" de\n # \"Em algumas grandes agencias\" comecava 8ms antes da fronteira e terminava\n # depois dela, entao caia fora dos DOIS segmentos e sumia da legenda. Pelo\n # ponto medio cada palavra cai em exatamente um segmento, e so as que estao\n # de fato dentro de um trecho cortado desaparecem — que e o certo.\n placed = []\n for r, d in zip(ranges, real):\n a, b = float(r[\"start\"]), float(r[\"end\"])\n off = src_to_real_out(a, ranges, real)\n scale = d / (b - a)\n for w in words:\n mid = (w[\"start\"] + w[\"end\"]) / 2\n if a <= mid < b:\n st = off + (max(w[\"start\"], a) - a) * scale\n en = off + (min(w[\"end\"], b) - a) * scale\n placed.append((st, en, (w.get(\"text\") or \"\").strip()))\n\n entries, chunk = [], []\n for st, en, txt in placed:\n if not txt:\n continue\n chunk.append((st, en, txt))\n if len(chunk) >= 6 or txt[-1] in \".,!?:…The file [oculto]/Desktop/aula-edit/edit/build.py has been updated successfully. (file state is current in your context — no need to Read it back)Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nedl=json.load(open(\"edit/edl.json\"))\nranges=build.quantize(edl[\"ranges\"])\nreal=[r[\"end\"]-r[\"start\"] for r in ranges]\nbuild.build_srt(edl, ranges, real, Path(\"edit/master.srt\"))\nPY\nhead -20 edit/master.srt; echo \"...\"; tail -8 edit/master.srt",
"description": "Regenerate SRT with midpoint assignment"
} master.srt: 103 legendas
1
00:00:00,034 --> 00:00:01,703
Até o começo dos anos 90,
2
00:00:01,994 --> 00:00:04,374
agência de viagem funcionava com a
3
00:00:04,394 --> 00:00:07,274
tropa de mensageiros andando pra cima
4
00:00:07,294 --> 00:00:08,494
e pra baixo de bicicleta.
5
00:00:08,942 --> 00:00:10,354
Em algumas grandes agências,
...
102
00:02:20,606 --> 00:02:21,566
Já me segue para ver o
103
00:02:21,666 --> 00:02:22,095
próximo.raciocínio interno
I'm noticing a timing discrepancy: the SRT's last entry ends at 2:22.095, but the video runs to about 2:44.6, and the final line "próximo" should land near 2:44.5 based on its source timestamp. That's a gap of over 20 seconds I need to investigate.
Tracing through the source-to-output time mapping function, I find the bug: it walks ranges assuming source times increase monotonically, but since blocks got reordered (ASSINATURA now comes before PROVOCAÇÃO in source order despite appearing earlier in output), the function hits a later range whose start time exceeds the target time and returns early, truncating the accumulated offset. This explains the missing ~22 seconds. I should check whether my overlay anchors are affected too, though they're all positioned in the earlier blocks so may have escaped the bug.
Checking the PROVOCAÇÃO block further confirms it's actually correct since its boundary aligns exactly with range 21's end. So the bug is isolated to the ASSINATURA block (ranges 24 and 25), which need their offset calculation fixed.
I'm rewriting the src_to_real_out function to scan through all ranges and find the one whose source interval actually contains the target time, rather than relying on index assumptions — this way it works correctly regardless of which block is being queried.
This is strictly better than the old version, which only handled early-return for t falling in a removed gap — now such cases fall through and return the total, which is fine since anchors always land inside kept ranges. I should fix the not-found case to return the total as a safe fallback, and make sure the fix propagates properly since composite.py imports from build.
Bug maior encontrado: a legenda termina em 2:22 num vídeo de 2:44,6. A causa é src_to_real_out — ela assume que os ranges sobem monotonicamente no tempo da fonte e retorna cedo quando t < a. Com a remontagem, a assinatura (fonte 159s) vem depois da provocação (fonte 195s), então a função abortava ali e devolvia o offset errado.
Os overlays escaparam por acaso (todas as âncoras estão antes da remontagem), mas a função está errada. Vou corrigir a busca.
Edit
{
"replace_all": false,
"file_path": "[oculto]/Desktop/aula-edit/edit/build.py",
"old_string": " Ancorar overlay em tempo de saida planejado acumula o arredondamento de\n frame de cada segmento; com 26 segmentos isso passa de meio frame.\n \"\"\"\n acc = 0.0\n for r, d in zip(ranges, real):\n a, b = float(r[\"start\"]), float(r[\"end\"])\n if t < a:\n return acc\n if t <= b:\n return acc + (t - a) * (d / (b - a))\n acc += d\n return acc",
"new_string": " Ancorar overlay em tempo de saida planejado acumula o arredondamento de\n frame de cada segmento; com 26 segmentos isso passa de meio frame.\n\n Procura o range que CONTEM t, sem sair cedo. A versao original abortava com\n `if t < a: return acc`, o que so vale se os ranges subirem monotonicamente na\n fonte — e aqui NAO sobem: o final foi remontado, entao a assinatura (fonte\n 159s) vem depois da provocacao (fonte 195s). A saida antecipada devolvia o\n offset do bloco errado e encurtava a legenda em 22s.\n \"\"\"\n acc = 0.0\n for r, d in zip(ranges, real):\n a, b = float(r[\"start\"]), float(r[\"end\"])\n if a <= t <= b:\n return acc + (t - a) * (d / (b - a))\n acc += d\n return acc # t caiu num trecho removido: joga para o fim"
}The file [oculto]/Desktop/aula-edit/edit/build.py has been updated successfully. (file state is current in your context — no need to Read it back)Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport importlib, build; importlib.reload(build)\nedl=json.load(open(\"edit/edl.json\"))\nranges=build.quantize(edl[\"ranges\"])\nreal=[r[\"end\"]-r[\"start\"] for r in ranges]\nbuild.build_srt(edl, ranges, real, Path(\"edit/master.srt\"))\nprint(\"total esperado:\", round(sum(real),3))\nfor o in edl[\"overlays\"]:\n print(f\" {Path(o['file']).parent.name}: saida {build.src_to_real_out(o['source_anchor'],ranges,real):7.3f}s\")\nPY\necho \"--- fim da legenda ---\"; tail -12 edit/master.srt",
"description": "Verify SRT fix and overlay positions"
} master.srt: 103 legendas
total esperado: 164.564
slot_1: saida 0.594s
slot_2: saida 42.223s
slot_3: saida 55.053s
slot_4: saida 75.353s
slot_5: saida 97.753s
--- fim da legenda ---
101
00:02:42,148 --> 00:02:42,768
certo.
102
00:02:42,828 --> 00:02:43,788
Já me segue para ver o
103
00:02:43,888 --> 00:02:44,317
próximo.raciocínio interno
The SRT now ends at 2:44.317, matching the 164.564s video, and the overlay positions remain unchanged as expected. I want to spot-check a middle entry around the remontage boundary where the provocação should start near 137.4s, so let me verify a few key entries there.
Legenda agora fecha em 2:44,3 contra 164,56s de vídeo, e as posições dos overlays não mudaram (confirmando que só a legenda tinha sido afetada). Vou conferir a remontagem na legenda.
Bash
{
"command": "grep -n -A2 \"00:02:1[678]\" edit/master.srt | head -24; echo \"=== extracao ===\"; ls edit/clips_graded/ | grep -c seg",
"description": "Check SRT around the remontage boundary"
}326:00:02:15,512 --> 00:02:17,161
327-a tecnologia que mudou.
328-
--
330:00:02:17,212 --> 00:02:18,262
331-Agora Agora me conta,
332-
--
334:00:02:18,362 --> 00:02:18,612
335-agente,
336-
--
338:00:02:18,702 --> 00:02:19,542
339-o que você acha que é
340-
=== extracao ===
18raciocínio interno
Found another duplication bug: "Agora" repeats because the TESE block's quantized end boundary (145.946) overlaps with the start of "Agora" in the original provocação v1 clip (midpoint 145.815), so that word gets caught in both segments even though it should only belong to the cut-out provocação.
Checking the actual timing, segment C5 runs 142.66-145.93 while "mudou." ends at 145.67 and "Agora" spans 145.72-145.91 — meaning the segment is swallowing the entire next word. Since the gap between them is only 0.05s, I need to trim the boundary to around 145.70, though given Scribe's typical 50-100ms drift, I should verify against the actual waveform before finalizing that cut point.
Since this transitions into the provocação retake, a tight cut here actually works rhetorically as a hard cut into "Agora me conta." I'm now going through all five audio-block boundaries to check for this same swallowing problem — comparing each block's end timestamp against the surrounding word timings to catch any other cases where a tail handle bleeds into the next word.
Checking the results: only the 145.946 boundary is problematic, clipping into "Agora." The other four ends (24.892, 112.112, 212.245, 169.736) all have safe gaps before the next word starts. I'm now verifying the block starts the same way, confirming each has enough lead-in before its first word.
The fix needs to adjust the C5 segment end from 145.93 so it stops before "Agora" begins, but I realize that segment hasn't been re-extracted yet with the corrected EDL — it's still using the old timing.
Killing the current extraction would lose work on 18 already-valid segments, so instead I should let it finish, then fix the EDL and re-extract just segment 20 along with the affected audio block before re-concatenating everything.
Outro problema, e este é de edição, não só de legenda: a legenda mostra "Agora Agora me conta". O handle de saída de 0,26s no fim da tese engoliu a palavra "Agora" da provocação v1 descartada — "mudou." termina em 145,67 e "Agora" começa em 145,72, só 0,05s depois. O corte estava em 145,93, ou seja, incluía a palavra inteira do take que eu deveria ter jogado fora.
Vou medir o waveform para achar a fronteira real.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nSR=16000\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",\"145.30\",\"-t\",\"1.0\",\"-i\",\"video1.mp4\",\n \"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\nhop=int(0.010*SR)\nprint(\" t(s) RMS dBFS\")\nfor i in range(len(a)//hop):\n w=a[i*hop:(i+1)*hop]\n db=20*np.log10(np.sqrt((w**2).mean())+1e-9)\n t=145.30+i*0.010\n bar=\"#\"*max(0,int((db+60)/2))\n print(f\" {t:7.3f} {db:7.1f} {bar}\")\nPY",
"description": "Measure audio envelope around the bad cut boundary"
} t(s) RMS dBFS
145.300 -7.3 ##########################
145.310 -7.2 ##########################
145.320 -7.7 ##########################
145.330 -8.3 #########################
145.340 -9.4 #########################
145.350 -11.0 ########################
145.360 -12.0 #######################
145.370 -13.6 #######################
145.380 -13.5 #######################
145.390 -11.9 ########################
145.400 -11.2 ########################
145.410 -11.2 ########################
145.420 -19.4 ####################
145.430 -18.1 ####################
145.440 -18.4 ####################
145.450 -21.1 ###################
145.460 -22.0 ##################
145.470 -24.0 #################
145.480 -28.4 ###############
145.490 -27.2 ################
145.500 -26.6 ################
145.510 -19.7 ####################
145.520 -18.6 ####################
145.530 -14.6 ######################
145.540 -13.5 #######################
145.550 -13.9 #######################
145.560 -14.4 ######################
145.570 -14.4 ######################
145.580 -16.3 #####################
145.590 -19.1 ####################
145.600 -20.0 ####################
145.610 -18.4 ####################
145.620 -18.0 #####################
145.630 -19.0 ####################
145.640 -21.3 ###################
145.650 -22.8 ##################
145.660 -30.4 ##############
145.670 -35.6 ############
145.680 -38.0 ##########
145.690 -41.2 #########
145.700 -27.7 ################
145.710 -25.0 #################
145.720 -18.6 ####################
145.730 -17.0 #####################
145.740 -12.8 #######################
145.750 -11.5 ########################
145.760 -8.7 #########################
145.770 -10.0 #########################
145.780 -12.0 #######################
145.790 -14.7 ######################
145.800 -15.3 ######################
145.810 -18.3 ####################
145.820 -16.4 #####################
145.830 -9.6 #########################
145.840 -9.4 #########################
145.850 -10.4 ########################
145.860 -9.8 #########################
145.870 -9.3 #########################
145.880 -12.5 #######################
145.890 -13.8 #######################
145.900 -14.2 ######################
145.910 -12.6 #######################
145.920 -11.3 ########################
145.930 -12.6 #######################
145.940 -10.9 ########################
145.950 -12.0 ########################
145.960 -12.4 #######################
145.970 -11.1 ########################
145.980 -10.0 #########################
145.990 -8.1 #########################
146.000 -6.4 ##########################
146.010 -5.1 ###########################
146.020 -5.3 ###########################
146.030 -6.9 ##########################
146.040 -7.2 ##########################
146.050 -7.4 ##########################
146.060 -6.6 ##########################
146.070 -8.9 #########################
146.080 -13.7 #######################
146.090 -15.3 ######################
146.100 -21.8 ###################
146.110 …raciocínio interno
The waveform shows the true silence trough at 145.690 (-41.2 dB), just after the Scribe timestamp of 145.67 for "mudou." — so I only have about 0.02s of tail handle to work with, meaning the cut at 145.69 leaves almost no breathing room.
That's actually fine though: the 30ms fade-out will cover 145.66-145.69, masking any residual attack since that portion is already decaying at -30 to -41 dB. I'll set the end to 145.70 so the fade fully covers the transition, keeping "mudou." intact while cleanly killing any bleed into the next word.
Now I should verify the SRT boundary logic holds — with end=145.69, "Agora" starts at 145.72 with midpoint 145.815, which falls safely after the cut, so it's correctly excluded. I also want to double-check the block start boundaries don't clip attacks, since Scribe timing can drift 50-100ms; I'll measure the two key starts at 195.395 and 159.459 before finalizing the EDL and re-running the build with --reuse.
A medição localiza o vale exato em 145,690 (−41,2 dB) — ali é o silêncio real entre "mudou." e "Agora". Vou fechar o corte ali. Aproveito e verifico se as outras entradas de bloco não estão cortando o ataque da primeira palavra.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nSR=16000\ndef env(t0,dur=0.40):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{t0}\",\"-t\",f\"{dur}\",\"-i\",\"video1.mp4\",\n \"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\n a=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\n hop=int(0.010*SR); out=[]\n for i in range(len(a)//hop):\n w=a[i*hop:(i+1)*hop]\n out.append((t0+i*0.010, 20*np.log10(np.sqrt((w**2).mean())+1e-9)))\n return out\nfor label,corte,palavra in [(\"bloco0 entrada\",6.406,\"'Ate'\"),(\"bloco1 entrada\",25.492,\"'Antes'\"),\n (\"bloco2 entrada\",113.614,\"'Quem'\"),(\"bloco3 entrada\",195.395,\"'Agora'\"),\n (\"bloco4 entrada\",159.459,\"'Eu'\")]:\n e=env(corte-0.15,0.45)\n pre=[d for t,d in e if t<corte]\n print(f\"{label} @ {corte:.3f} antes de {palavra}: nivel nos 150ms ANTES do corte \"\n f\"max {max(pre):.1f} dB (room tone ~-63) -> {'OK' if max(pre)<-40 else 'ATENCAO: fala antes do corte'}\")\nPY",
"description": "Verify block entry points don't clip word attacks"
}bloco0 entrada @ 6.406 antes de 'Ate': nivel nos 150ms ANTES do corte max -41.0 dB (room tone ~-63) -> OK
bloco1 entrada @ 25.492 antes de 'Antes': nivel nos 150ms ANTES do corte max -64.9 dB (room tone ~-63) -> OK
bloco2 entrada @ 113.614 antes de 'Quem': nivel nos 150ms ANTES do corte max -47.8 dB (room tone ~-63) -> OK
bloco3 entrada @ 195.395 antes de 'Agora': nivel nos 150ms ANTES do corte max -30.2 dB (room tone ~-63) -> ATENCAO: fala antes do corte
bloco4 entrada @ 159.459 antes de 'Eu': nivel nos 150ms ANTES do corte max -69.0 dB (room tone ~-63) -> OKraciocínio interno
The block 3 entry at 195.395 shows -30.2 dB in the 150ms before the cut, suggesting there's audio there already—maybe a breath or the attack of "Agora" starting earlier than Scribe reported. I want to print the envelope to look closer.
O bloco 3 tem sinal a −30 dB antes do corte. Vou olhar em detalhe.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nSR=16000\nt0=195.10\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t0),\"-t\",\"0.70\",\"-i\",\"video1.mp4\",\n \"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\nhop=int(0.010*SR)\nfor i in range(len(a)//hop):\n w=a[i*hop:(i+1)*hop]\n db=20*np.log10(np.sqrt((w**2).mean())+1e-9)\n t=t0+i*0.010\n mark=\" <-- corte atual\" if abs(t-195.395)<0.006 else \"\"\n print(f\" {t:7.3f} {db:7.1f} {'#'*max(0,int((db+70)/2))}{mark}\")\nPY",
"description": "Detail envelope at block 3 entry"
} 195.100 -53.8 ########
195.110 -53.4 ########
195.120 -51.7 #########
195.130 -51.6 #########
195.140 -52.0 ########
195.150 -53.6 ########
195.160 -55.0 #######
195.170 -52.9 ########
195.180 -53.9 ########
195.190 -52.2 ########
195.200 -51.7 #########
195.210 -51.6 #########
195.220 -52.7 ########
195.230 -52.8 ########
195.240 -54.0 #######
195.250 -55.1 #######
195.260 -53.6 ########
195.270 -53.4 ########
195.280 -52.1 ########
195.290 -47.9 ###########
195.300 -53.3 ########
195.310 -41.3 ##############
195.320 -27.9 #####################
195.330 -37.0 ################
195.340 -37.1 ################
195.350 -42.1 #############
195.360 -49.2 ##########
195.370 -52.6 ########
195.380 -52.8 ########
195.390 -52.5 ######## <-- corte atual
195.400 -50.1 ######### <-- corte atual
195.410 -50.3 #########
195.420 -52.1 ########
195.430 -23.7 #######################
195.440 -10.7 #############################
195.450 -13.1 ############################
195.460 -14.0 ############################
195.470 -11.9 #############################
195.480 -13.1 ############################
195.490 -9.6 ##############################
195.500 -10.5 #############################
195.510 -10.5 #############################
195.520 -7.4 ###############################
195.530 -8.2 ##############################
195.540 -9.4 ##############################
195.550 -8.5 ##############################
195.560 -8.7 ##############################
195.570 -9.2 ##############################
195.580 -7.2 ###############################
195.590 -7.1 ###############################
195.600 -7.8 ###############################
195.610 -8.4 ##############################
195.620 -10.3 #############################
195.630 -14.6 ###########################
195.640 -12.2 ############################
195.650 -10.4 #############################
195.660 -9.7 ##############################
195.670 -8.1 ##############################
195.680 -9.6 ##############################
195.690 -9.4 ##############################
195.700 -9.4 ##############################
195.710 -9.8 ##############################
195.720 -7.9 ###############################
195.730 -8.1 ##############################
195.740 -7.1 ###############################
195.750 -6.6 ###############################
195.760 -6.7 ###############################
195.770 -7.0 ###############################
195.780 -7.3 ###############################
195.790 -6.8 ###############################raciocínio interno
The blip at 195.32 is a brief transient, likely a click or breath, occurring well before the cut point — so it's irrelevant to the edit. The actual cut at 195.395 lands cleanly in room tone before "Agora" begins at 195.430, confirming the cut is clean.
So the only real issue is block 2's end timing, which needs correcting from 145.93 to 145.69 in the EDL. I should also check extraction status and add a reuse flag to the build script before re-extracting.
Falso alarme no bloco 3: o pico de −27,9 dB é um estalo isolado em 195,320, antes do corte, e o corte em 195,395 cai em room tone (−52 dB) com "Agora" atacando em 195,430 — 35ms de folga limpa. Só o fim do bloco 2 estava errado mesmo.
Vou corrigir o EDL e dar ao build.py a capacidade de reaproveitar os segmentos já extraídos.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\np=\"edit/edl.json\"; d=json.load(open(p))\nn=0\nfor r in d[\"ranges\"]:\n if abs(r[\"end\"]-145.93)<1e-6:\n r[\"end\"]=145.69\n r[\"reason\"]=(\"a funcao e a mesma, a tecnologia que mudou \"\n \"(fim em 145.69 = vale medido do waveform; 145.93 engolia o \"\n \"'Agora' da provocacao v1 descartada)\")\n n+=1\nd[\"total_duration_s\"]=round(sum(r[\"end\"]-r[\"start\"] for r in d[\"ranges\"]),2)\njson.dump(d,open(p,\"w\"),indent=2,ensure_ascii=False)\nprint(f\"{n} range corrigido · total {d['total_duration_s']}s\")\nPY\nls edit/clips_graded/ | grep -c seg",
"description": "Fix the bad cut boundary in the EDL"
}1 range corrigido · total 164.37s
20Edit
{
"replace_all": false,
"file_path": "[oculto]/Desktop/aula-edit/edit/build.py",
"old_string": " out = clips_dir / f\"seg_{i:02d}.mp4\"\n print(f\" [{i:02d}] {kind} {start:7.3f}-{end:7.3f} ({end - start:5.2f}s) \"\n f\"zoom {z:.2f}x {r.get('beat', '')}\")\n extract_video_segment(src, start, end - start, z, grade, out, preview=args.preview)",
"new_string": " out = clips_dir / f\"seg_{i:02d}.mp4\"\n want = int(round((end - start) / FRAME))\n print(f\" [{i:02d}] {kind} {start:7.3f}-{end:7.3f} ({end - start:5.2f}s) \"\n f\"zoom {z:.2f}x {r.get('beat', '')}\", end=\"\")\n # --reuse: extrair 26 segmentos em preset slow leva ~15 min. Se o clipe\n # ja existe COM a contagem de frames esperada, o range nao mudou.\n if args.reuse and out.exists() and nb_frames(out) == want:\n print(\" [reaproveitado]\")\n seg_paths.append(out); prev_end = end\n continue\n print()\n extract_video_segment(src, start, end - start, z, grade, out, preview=args.preview)"
}The file [oculto]/Desktop/aula-edit/edit/build.py has been updated successfully. (file state is current in your context — no need to Read it back)Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\ns=s.replace('''def seg_real_duration(path: Path) -> float:''','''def nb_frames(path: Path) -> int:\n \"\"\"Contagem exata de frames — a chave do --reuse (duracao arredonda demais).\"\"\"\n out = subprocess.run([\"ffprobe\", \"-v\", \"error\", \"-select_streams\", \"v:0\",\n \"-count_frames\", \"-show_entries\", \"stream=nb_read_frames\",\n \"-of\", \"default=nw=1:nk=1\", str(path)],\n capture_output=True, text=True).stdout.strip()\n return int(out) if out.isdigit() else -1\n\n\ndef seg_real_duration(path: Path) -> float:''')\ns=s.replace(''' ap.add_argument(\"--no-overlays\", action=\"store_true\")''',\n ''' ap.add_argument(\"--no-overlays\", action=\"store_true\")\n ap.add_argument(\"--reuse\", action=\"store_true\",\n help=\"pula segmentos ja extraidos com a contagem de frames certa\")''')\nopen(p,\"w\").write(s)\nprint(\"ok\")\nPY\ngrep -n \"def nb_frames\\|--reuse\\|reaproveitado\" edit/build.py",
"description": "Add nb_frames helper and --reuse flag"
}ok
59:def nb_frames(path: Path) -> int:
60: """Contagem exata de frames — a chave do --reuse (duracao arredonda demais)."""
354: ap.add_argument("--reuse", action="store_true",
389: # --reuse: extrair 26 segmentos em preset slow leva ~15 min. Se o clipe
392: print(" [reaproveitado]")raciocínio interno
I should wait for the running extraction to finish before re-running with --reuse, but I realize there's a timing issue: the currently-running job is using the old EDL, so segment 20 will get extracted with the stale end time, meaning its frame count won't match the new expected count and it'll need re-extraction anyway. Let me check the job status.
Bash
{
"command": "until [ -f edit/_base_only.mp4 ]; do sleep 10; done; echo \"pronto\"; tail -12 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/b4rj38c4h.output",
"description": "Wait for the current extraction to complete",
"timeout": 1200000
}pronto
[02] 113.614-145.946 ( 32.33s)
[03] 195.395-212.245 ( 16.85s)
[04] 159.459-169.736 ( 10.28s)
video 164.564s audio 164.567s (delta +3 ms)
master.srt: 108 legendas
duracao real do base: 164.564s
pronto: [oculto]/Desktop/aula-edit/edit/_base_only.mp4 (222.2 MB) video 164.56s
[exited with code 0]Extração completa. Agora rerodo com --reuse — só o segmento corrigido será reextraído.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/build.py -o edit/_base_only.mp4 --no-subtitles --no-overlays --no-loudnorm --reuse 2>&1 | tail -16",
"description": "Rebuild base reusing unchanged segments",
"timeout": 1200000
} [21] CORTE 195.395-200.734 ( 5.34s) zoom 1.00x PROVOCACAO [reaproveitado]
[22] punch 200.734-208.775 ( 8.04s) zoom 1.10x PROVOCACAO [reaproveitado]
[23] punch 208.775-212.245 ( 3.47s) zoom 1.25x PROVOCACAO [reaproveitado]
[24] CORTE 159.459-164.831 ( 5.37s) zoom 1.14x ASSINATURA [reaproveitado]
[25] punch 164.831-169.736 ( 4.90s) zoom 1.20x CTA [reaproveitado]
extraindo 5 blocos de audio (21 punches nao tocam no audio)
[00] 6.406- 24.892 ( 18.49s)
[01] 25.492-112.112 ( 86.62s)
[02] 113.614-145.679 ( 32.07s)
[03] 195.395-212.245 ( 16.85s)
[04] 159.459-169.736 ( 10.28s)
video 164.297s audio 164.300s (delta +3 ms)
master.srt: 103 legendas
duracao real do base: 164.297s
pronto: [oculto]/Desktop/aula-edit/edit/_base_only.mp4 (221.9 MB) video 164.30sraciocínio interno
With the base rebuilt at 164.297s and sync holding at +3ms across 103 subtitles, I want to verify the boundary fix by checking the audio near the end of block 2, which now lands around 137.171s in the output. I'm checking whether the "Agora" remnant is gone there, since the segment now ends at source 145.679s right before "Agora" starts at 145.72s, which should mean the cut is clean.
The 30ms fade-out covers the tail of "mudou." which decays to -41 dB by 145.69s, so that should sound fine. I'll do a quick boundary check on the output audio first, then kick off the composite run with batch 5 in the background once I'm confident there's no clipped syllable.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nSR=16000; t0=136.90\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t0),\"-t\",\"0.70\",\"-i\",\"edit/_base_only.mp4\",\n \"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\nhop=int(0.010*SR)\nprint(\"emenda TESE -> PROVOCACAO na saida (corte em ~137.171s)\")\nfor i in range(len(a)//hop):\n w=a[i*hop:(i+1)*hop]\n db=20*np.log10(np.sqrt((w**2).mean())+1e-9)\n t=t0+i*0.010\n m=\" <-- EMENDA\" if abs(t-137.171)<0.006 else \"\"\n print(f\" {t:7.3f} {db:7.1f} {'#'*max(0,int((db+70)/2))}{m}\")\nPY",
"description": "Verify the corrected cut boundary in output audio"
}emenda TESE -> PROVOCACAO na saida (corte em ~137.171s)
136.900 -12.4 ############################
136.910 -14.9 ###########################
136.920 -19.4 #########################
136.930 -16.3 ##########################
136.940 -20.5 ########################
136.950 -22.3 #######################
136.960 -23.1 #######################
136.970 -30.0 ####################
136.980 -27.6 #####################
136.990 -26.3 #####################
137.000 -24.3 ######################
137.010 -18.5 #########################
137.020 -15.2 ###########################
137.030 -12.9 ############################
137.040 -13.7 ############################
137.050 -14.1 ###########################
137.060 -15.5 ###########################
137.070 -18.0 ##########################
137.080 -17.0 ##########################
137.090 -17.7 ##########################
137.100 -17.9 ##########################
137.110 -18.2 #########################
137.120 -19.0 #########################
137.130 -27.9 #####################
137.140 -19.8 #########################
137.150 -33.6 ##################
137.160 -44.8 ############
137.170 -70.8 <-- EMENDA
137.180 -55.3 #######
137.190 -55.7 #######
137.200 -49.1 ##########
137.210 -15.4 ###########################
137.220 -11.7 #############################
137.230 -14.5 ###########################
137.240 -13.1 ############################
137.250 -13.5 ############################
137.260 -11.0 #############################
137.270 -10.1 #############################
137.280 -11.0 #############################
137.290 -9.2 ##############################
137.300 -8.4 ##############################
137.310 -7.7 ###############################
137.320 -9.2 ##############################
137.330 -9.7 ##############################
137.340 -8.6 ##############################
137.350 -8.4 ##############################
137.360 -7.8 ###############################
137.370 -8.0 ##############################
137.380 -8.3 ##############################
137.390 -9.8 ##############################
137.400 -10.9 #############################
137.410 -13.4 ############################
137.420 -11.8 #############################
137.430 -11.0 #############################
137.440 -9.0 ##############################
137.450 -9.4 ##############################
137.460 -9.9 ##############################
137.470 -9.8 ##############################
137.480 -11.0 #############################
137.490 -8.6 ##############################
137.500 -8.0 ##############################
137.510 -7.7 ###############################
137.520 -7.4 ###############################
137.530 -7.6 ###############################
137.540 -7.4 ###############################
137.550 -7.5 ###############################
137.560 -7.6 ###############################
137.570 -7.2 ###############################
137.580 -8.6 ##############################
137.590 -13.1 ############################raciocínio interno
The edit checks out clean - "mudou." decays naturally through the fade to -70.8 at the cut, room tone bridges about 40ms, then "Agora" attacks cleanly with no clipped syllable. Now I'll run the composite with batch 5 in the background, one pass without double encoding.
Emenda limpa: "mudou." decai naturalmente, o fade de 30ms leva a −70 dB, ~40ms de room tone, e "Agora" ataca do outro lado. Sem sílaba cortada.
Agora o composite final com os 5 overlays.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/composite.py --base edit/_base_only.mp4 -o edit/final.mp4 --batch 5 2>&1 | tail -20",
"description": "Composite all overlays and normalize audio",
"run_in_background": true
}Command running in background with ID: bxbaze5ky. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bxbaze5ky.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "until [ -f edit/final.mp4 ] || ! ps aux | grep -q \"[c]omposite.py\"; do sleep 10; done; sleep 3; tail -14 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bxbaze5ky.output",
"description": "Wait for composite to finish",
"timeout": 2400000
} slot_3: fonte 62.06s -> saida 55.053s 1992 Rodenburg
slot_4: fonte 82.36s -> saida 75.353s a proposta
slot_5: fonte 104.76s -> saida 97.753s payoff
base 164.297s · 5 overlays · lote 5
compositing (frosted glass) → final.prenorm.mp4 [5 overlays, sigma 40]
loudnorm -> -14 LUFS / -1 dBTP
loudnorm pass 1: measuring final.prenorm.mp4
measured: I=-9.08 LUFS TP=1.34 LRA=2.60
loudnorm pass 2: normalizing → final.mp4
pronto: [oculto]/Desktop/aula-edit/edit/final.mp4 (178.5 MB)
video 164.30s · audio 164.29s · delta +9 ms
[exited with code 0]raciocínio interno
The composite completed in a single pass without memory issues — 5 overlays, 178.5 MB, 164.30s, only a 9ms delta. I also caught that the audio was clipping before normalization (+1.34 TP) but loudnorm fixed it to a proper -14 LUFS / -1 dBTP. Now I need to do a final self-evaluation: verify duration and streams, and check frame counts at each overlay.
Composite passou em uma única passada (sem duplo encode). O loudnorm também corrigiu o áudio que vinha estourado — media −9,08 LUFS com true peak +1,34 dBTP (clipando) e saiu em −14 LUFS / −1 dBTP.
Auto-avaliação final.
Bash
{
"command": "echo \"=== streams ===\" && ffprobe -v error -show_entries stream=codec_type,codec_name,width,height,r_frame_rate,pix_fmt,sample_rate,channels -show_entries format=duration,bit_rate -of default=nw=1 edit/final.mp4 && echo \"=== loudness final ===\" && ffmpeg -hide_banner -i edit/final.mp4 -af ebur128=peak=true -f null - 2>&1 | tail -8",
"description": "Verify final file streams and loudness",
"timeout": 600000
}=== streams ===
codec_name=h264
codec_type=video
width=1080
height=1920
pix_fmt=yuv420p
r_frame_rate=30000/1001
codec_name=aac
codec_type=audio
sample_rate=48000
channels=2
r_frame_rate=0/0
duration=164.297467
bit_rate=9115328
=== loudness final ===
Threshold: -34.2 LUFS
LRA low: -15.4 LUFS
LRA high: -12.8 LUFS
True peak:
Peak: -1.1 dBFS
[out#0/null @ 0xa39054300] video:2039KiB audio:30804KiB subtitle:0KiB other streams:0KiB global headers:0KiB muxing overhead: unknown
frame= 4924 fps=628 q=-0.0 Lsize=N/A time=00:02:44.28 bitrate=N/A speed=20.9x elapsed=0:00:07.84raciocínio interno
Video specs check out: 1080×1920, 29.97fps, yuv420p, 164.297s duration, true peak -1.1 dBFS. Now I'm doing visual spot checks on overlays, the climax zoom, and cut boundaries, but I realize the slot positions I calculated were based on the old ranges before the timing adjustment, so I need to recompute those.
The fix only touched the end of range 20, which comes after all overlay anchors, so the positions remain valid. For the climax zoom at range 19, I'm calculating the output offset to land around 126.07 seconds, and now I'll sample frames there along with the overlay peaks and final frame to verify everything lines up.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess\nSHOTS=[(3.0,\"slot_1 titulo\"),(46.5,\"slot_2 custo\"),(58.5,\"slot_3 Rodenburg\"),\n (83.5,\"slot_4 proposta\"),(100.5,\"slot_5 payoff\"),(128.0,\"CLIMAX 1.32x\"),\n (140.0,\"provocacao\"),(163.5,\"CTA final\")]\nfor t,l in SHOTS:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"edit/final.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"scale=270:-1\",f\"/tmp/f_{t}.jpg\",\"-y\"],check=True)\n# monta um contact sheet 4x2\nins=[]; \nfor t,_ in SHOTS: ins += [\"-i\",f\"/tmp/f_{t}.jpg\"]\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",*ins,\"-filter_complex\",\n \"[0][1][2][3]hstack=4[a];[4][5][6][7]hstack=4[b];[a][b]vstack\",\n \"edit/verify/contato.jpg\",\"-y\"],check=True)\nprint(\" | \".join(l for _,l in SHOTS))\nPY",
"description": "Build contact sheet of key moments",
"timeout": 300000
}slot_1 titulo | slot_2 custo | slot_3 Rodenburg | slot_4 proposta | slot_5 payoff | CLIMAX 1.32x | provocacao | CTA finalRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/contato.jpg"
}[imagem]raciocínio interno
All five overlays render cleanly clear of his head, and the zoom ladder reads correctly with frame 6 at 1.32× noticeably tighter than the rest. I want to check that climax frame at full resolution to judge the upscaling quality honestly, and also confirm no overlay cuts off abruptly at a segment boundary.
Os cinco overlays no lugar, livres da cabeça, com o vidro fosco. Falta julgar honestamente o custo do upscale no clímax de 1,32×.
Bash
{
"command": "ffmpeg -v error -ss 128.0 -i edit/final.mp4 -frames:v 1 -vf \"crop=560:420:270:520,scale=840:-1\" edit/verify/nitidez_climax.jpg -y && ffmpeg -v error -ss 3.0 -i edit/final.mp4 -frames:v 1 -vf \"crop=560:420:270:620,scale=840:-1\" edit/verify/nitidez_base.jpg -y && echo ok",
"description": "Crop face detail at climax vs base zoom",
"timeout": 180000
}okRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/nitidez_climax.jpg"
}[imagem]raciocínio interno
The upscale quality holds up at higher magnification, so the output should look clean at actual playback size. Everything checks out, so now I'll verify frame counts for dropped frames and clean up the temporary files I created during processing.
I'm deciding what to keep versus delete — the graded base without overlays is worth keeping since it saves significant re-rendering time if overlay changes are needed later, while the other temp files and intermediate clips can go. I'll check disk usage, clear the obvious junk, and update the project notes with the two bugs I found late in the process before wrapping up.
A 1,32× os fios de cabelo continuam resolvidos (e isto é um crop ampliado 1,5× ainda por cima) — o lanczos segurou bem. Vou limpar os temporários e fechar.
Bash
{
"command": "rm -f /tmp/_t_*.mp4 /tmp/_s[0-9].mp4 /tmp/_g[0-9].mp4 /tmp/f_*.jpg\nrm -f edit/preview_base.mp4 edit/base_preview.mp4\nrm -rf edit/clips_preview\ndu -sh edit/clips_graded edit/_base_only.mp4 edit/final.mp4 edit/animations 2>/dev/null\necho \"=== conteudo de edit/ ===\"; ls -la edit/ | grep -v \"^total\"",
"description": "Clean temporary files and list output"
}262M edit/clips_graded
224M edit/_base_only.mp4
193M edit/final.mp4
221M edit/animations
=== conteudo de edit/ ===
drwxr-xr-x@ 19 [oculto] staff 608 Aug 20 17:11 .
drwxr-xr-x@ 4 [oculto] staff 128 Aug 20 16:13 ..
drwxr-xr-x@ 3 [oculto] staff 96 Aug 20 17:02 __pycache__
-rw-r--r--@ 1 [oculto] staff 232691706 Aug 20 17:01 _base_only.mp4
-rw-r--r--@ 1 [oculto] staff 1203 Aug 20 16:21 _cuts.json
-rw-r--r--@ 1 [oculto] staff 1774 Aug 20 16:21 _cuts_m12.json
-rw-r--r--@ 1 [oculto] staff 2595 Aug 20 16:21 _cuts_m18.json
drwxr-xr-x@ 7 [oculto] staff 224 Aug 20 16:35 animations
-rw-r--r--@ 1 [oculto] staff 232691706 Aug 20 17:01 base.mp4
-rw-r--r--@ 1 [oculto] staff 20501 Aug 20 16:58 build.py
drwxr-xr-x@ 33 [oculto] staff 1056 Aug 20 17:00 clips_graded
-rw-r--r--@ 1 [oculto] staff 3196 Aug 20 16:55 composite.py
-rw-r--r--@ 1 [oculto] staff 5774 Aug 20 16:58 edl.json
-rw-r--r--@ 1 [oculto] staff 187203176 Aug 20 17:09 final.mp4
-rw-r--r--@ 1 [oculto] staff 6052 Aug 20 17:01 master.srt
-rw-r--r--@ 1 [oculto] staff 5197 Aug 20 16:54 project.md
-rw-r--r--@ 1 [oculto] staff 3643 Aug 20 16:19 takes_packed.md
drwxr-xr-x@ 3 [oculto] staff 96 Aug 20 16:19 transcripts
drwxr-xr-x@ 41 [oculto] staff 1312 Aug 20 17:10 verifyraciocínio interno
I realize _base_only.mp4 is just a duplicate of base.mp4 since build.py copies it to that path, so I'll delete the redundant file. I'll also clean up the unused scratch cuts JSON files, keeping only the one I actually used.
Bash
{
"command": "cmp -s edit/base.mp4 edit/_base_only.mp4 && { rm edit/_base_only.mp4; echo \"removido _base_only.mp4 (duplicata identica de base.mp4)\"; } || echo \"diferem, mantidos\"\nrm -f edit/_cuts.json edit/_cuts_m12.json && mv edit/_cuts_m18.json edit/cuts_candidatos.json\nrm -rf edit/__pycache__\ndu -sh edit/",
"description": "Remove duplicate base and scratch files"
}diferem, mantidos
1.1G edit/raciocínio interno
The difference likely comes from the remux step when --no-overlays is used, which copies the base stream into a new container. Since both files represent the same content, I'll keep base.mp4 as canonical and remove _base_only.mp4 after confirming their durations match.
Bash
{
"command": "for f in edit/base.mp4 edit/_base_only.mp4; do printf \"%s \" $f; ffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 $f; done\nrm -f edit/_base_only.mp4 && echo \"removido _base_only.mp4 (mesmo conteudo, so remux; base.mp4 e o canonico)\"\ndu -sh edit/ && ls -la edit/final.mp4",
"description": "Confirm same content and remove remux duplicate"
}edit/base.mp4 164.297467
edit/_base_only.mp4 164.297467
removido _base_only.mp4 (mesmo conteudo, so remux; base.mp4 e o canonico)
901M edit/
-rw-r--r--@ 1 [oculto] staff 187203176 Aug 20 17:09 edit/final.mp4Vou registrar na memória do projeto os dois bugs que apareceram só na verificação.
Bash
{
"command": "cat >> edit/project.md <<'EOF'\n\n## Dois defeitos que só apareceram na auto-avaliação (leia antes do próximo vídeo)\n\n**1. Handle de saída engolindo a palavra do take descartado.** O corte do fim da\ntese estava em 145,93 — handle padrão de 0,26 s depois de \"mudou.\" (fim 145,67).\nSó que o \"Agora\" da provocação **v1 descartada** começa em 145,72, 50 ms depois.\nO segmento carregava a palavra inteira de um take que devia sumir. Apareceu como\n`\"Agora Agora me conta\"` na legenda.\n\nCorrigido medindo o envelope: o vale real é 145,690 (−41,2 dB). Corte movido para\nlá — handle de 0,02 s, abaixo da janela de 30–200 ms da Regra Dura 7, porque o\nmaterial não permite mais. O fade de 30 ms cobre o resto.\n\n> **Regra para a próxima:** quando o corte separa um take BOM de um take\n> DESCARTADO, o handle de saída não pode ser o padrão. Cheque sempre a distância\n> até a primeira palavra do take descartado — ela costuma ser muito menor que a\n> pausa entre frases normais.\n\n**2. `src_to_real_out` quebra com remontagem.** A versão herdada do `build.py` do\nHD tem `if t < a: return acc` — uma saída antecipada que só é válida se os ranges\nsubirem monotonicamente no tempo da FONTE. Com o final remontado (assinatura em\n159 s vindo depois da provocação em 195 s) a função abortava no range errado.\nA legenda saiu terminando em 2:22 num vídeo de 2:44.\n\nCorrigido: procura o range que **contém** t, varrendo todos, sem sair cedo. Os\noverlays escaparam por sorte — todas as âncoras estão antes da remontagem.\n\n> **O `build.py` de referência no HD tem os dois bugs latentes** (este e o do\n> drift de frame). Só não apareceram lá porque aquele edit não remonta a ordem e\n> tem menos segmentos.\n\n**3. Áudio da fonte vinha clipando.** Medido no pré-normalização: I = −9,08 LUFS,\n**true peak +1,34 dBTP**. O `loudnorm` de duas passagens resolveu (saída −14 LUFS\n/ −1,1 dBTP real medido), mas vale avisar o Rafael: está gravando quente demais.\nEOF\necho \"project.md atualizado ($(wc -l < edit/project.md) linhas)\"",
"description": "Append late findings to project memory"
}project.md atualizado ( 119 linhas)SendUserFile
{
"files": [
"[oculto]/Desktop/aula-edit/edit/final.mp4",
"[oculto]/Desktop/aula-edit/edit/master.srt"
],
"caption": "Corte final (2:44,6) + o SRT no timeline de saída, para você legendar no seu editor.",
"status": "normal"
}1 file delivered to user.
[oculto]/Desktop/aula-edit/edit/master.srt → file_uuid: 442376db-0db4-4137-815d-d49eb3107bb1
1 file NOT delivered to Remote Control (phone/web) viewers — only visible in the desktop app on this machine:
[oculto]/Desktop/aula-edit/edit/final.mp4 (178.5 MiB): 178.5 MiB exceeds the 30 MiB upload limit
Tell the user the file is only visible in the desktop app, and why.Pronto.
O arquivo final
[oculto]/Desktop/aula-edit/edit/final.mp4
1080×1920 · 29,97fps · 2:44,6 (de 3:36) · 178 MB · áudio −14 LUFS / −1,1 dBTP.
O master.srt está ao lado, no timeline já cortado, em quebra de frase legível para você importar. Ele foi entregue aqui no chat; o vídeo tem 178 MB e passa do limite de upload, então só aparece no app desktop desta máquina — abra pelo caminho acima.
O que foi feito
O corte. Fora: slate, o "200 passageiros, mensageiros, aliás", a provocação v1, a conversa com o Solon, o retake falho, o "vou de novo" e o "aí segue pro final". A provocação v3 (com a síndrome de Gabriela) entrou no lugar da v1 e a assinatura foi para o fim. Preservei de propósito a cadência da enumeração e a pausa antes de "mais de quatrocentas agências" — ali a pausa é o efeito.
O zoom. 26 segmentos, clímax único em 1,32× em "em 2026, o mensageiro é digital", e 1,25× no payoff das 400 agências e na síndrome de Gabriela. A escada também disfarça as duas emendas da remontagem: em 195s você está bem mais perto da câmera, então entrei baixo ali; em 159s mais recuado, então entrei alto.
Os overlays. Cinco painéis de vidro, com o desfoque saindo do próprio frame — dá para ver o trilho de luz nítido fora do painel e dissolvido dentro dele.
Quatro coisas que você precisa saber
Seu áudio está gravando quente demais. Chegou aqui a −9,08 LUFS com true peak +1,34 dBTP — ou seja, já clipando na fonte. A normalização corrigiu o nível, mas o que foi perdido na gravação não volta. Vale baixar o ganho no próximo.
O zoom custou nitidez, como avisei. A fonte é 1080×1920 nativo, sem folga. Inspecionei o clímax: os fios de cabelo continuam resolvidos e em celular passa bem, mas não é o corte de pixel nativo dos vídeos 4K.
Achei dois bugs no build.py de referência do HD e corrigi aqui — os dois estão latentes lá:
- O arredondamento de frame acumulava +421 ms de dessincronia labial ao longo dos 26 segmentos (lá dá +280 ms, logo abaixo da guarda). Corrigido para +3 ms.
src_to_real_outassume que os cortes sobem em ordem na fonte. Como remontei o final, ela abortava no bloco errado e a legenda terminava em 2:22 num vídeo de 2:44.
O perfil aprovado do HD não serviu direto nesta fonte. Recalibrei três coisas com medição: o Y_BIAS (0,12 em vez de 0,28 — com 0,28 a banda invadia seu cabelo a partir de 1,25×), a geometria da banda, e o grade. O grade N2 de lá teria lavado sua pele: aqui o vermelho já está certo e o desvio é azul alto do spill do LED verde. Tudo registrado em edit/project.md.
Uma nota de escopo: autorizei cortar palavra porque você pediu explicitamente neste vídeo. Pelo perfil, essa autorização não vale para o próximo — me peça de novo quando for o caso.
No vídeo que você acabou de editar, faça mais dois ajustes e gere de novo:
1) Acelere a velocidade para 1.1x (10% mais rápido), mantendo o áudio no tom natural, sem ficar "esganiçado".
2) Corrija a cor deixando os pretos mais profundos: baixe o ponto preto para pretos mais pretos, com um leve crush nas sombras, sem escurecer os tons médios nem estourar o contraste.
Me diga onde ficou o novo arquivo final.
raciocínio interno
I need to handle two changes: speeding up to 1.1x while keeping natural pitch using setpts and atempo filters, and correcting the black point to deepen shadows slightly without affecting midtones or contrast. I'm weighing whether to apply the speed change to the final composited video, since the overlays are synced to speech and would scale proportionally anyway.
But applying the grade post-composite would also grade the overlays, which the pipeline explicitly forbids — overlays must stay ungraded and are only composited after per-segment grading. So I need to apply the grade change per-segment during extraction where it already lives, and figure out where to apply speed so overlay sync isn't broken — either by re-rendering overlay timing, speeding up both base and overlays before compositing with shifted anchors, or applying speed at the very end on the composite while accepting the grading tradeoff.
I'm leaning toward re-extracting all 26 segments with the updated grade, then speeding the base after concat but before composite, scaling overlay anchor timestamps by the same factor, and re-encoding the overlay ProRes 4444 movs with adjusted timestamps to keep them in sync without quality loss.
Actually, the cleaner path is to modify the HyperFrames compositions themselves—dividing cue times and durations by 1.1 and re-rendering natively—since the overlays are anchored to spoken words and need to stay synced at the faster pace, and this avoids any frame duplication or resampling artifacts from setpts tricks.
My plan: update the grade in edl.json, introduce a speed constant of 1.1 applied during extraction (adjusting video timing, audio tempo with pitch preservation, and recalculated frame counts), re-extract all segments since the grade changed anyway, re-render the five HyperFrames slots with cues divided by 1.1, then composite everything using anchors mapped through the sped-up timeline.
Actually, applying the speed change per-segment complicates quantization since the output duration needs to align to the frame grid. A cleaner approach: keep extraction at natural speed as it currently works, concatenate into the base file, then apply the speed change once to the entire base using a single ffmpeg pass adjusting both video timing and audio tempo together.
But that adds an extra encoding generation to the pipeline. Instead, I realize I can fold the speed adjustment directly into the final composite pass itself, applying the timing shift to the base video input and tempo adjustment to its audio there, avoiding the need for a separate speed-change step since the audio gets re-encoded during loudnorm anyway.
I need to rescale everything downstream to the faster timeline — the total duration, the background color source duration, the tpad tail calculations, and the overlay anchor positions all need to be divided by the speed factor. I'm weighing whether to re-render the overlay clips at the new speed or just apply a setpts adjustment directly within the existing filter chain alongside the fps conversion already happening there.
Using setpts is simpler since it avoids re-rendering anything — the fps filter afterward will resample to 29.97 and just drop about 10% of frames, which is imperceptible for smooth animation. Re-rendering natively would be more precise but requires editing cue values across five HTML files, which is riskier, so I'll go with the setpts approach as the safer, simpler equivalent of a speed change.
Now I'm thinking through the color grade — specifically how to crush the black point without disturbing midtones, considering options like a curves adjustment, a luma LUT, or colorlevels with adjusted minimum input values.
This curve design keeps midtones and highlights untouched while deepening blacks and adding a slight shadow crush — exactly the "darker blacks, no midtone darkening" effect needed. I should first check the actual black level in the footage before locking in the 0.06 point, since the real darkest values might sit higher or lower than assumed.
I'll measure the luma histogram on base.mp4 rather than final.mp4, since that has the grade applied without overlays skewing the numbers. Once I confirm the shadow distribution, I can finalize the curve, test it on sample frames, update the EDL grade, and re-extract all 26 segments before moving on to adding speed to the composite.
Vou medir as sombras antes de desenhar a curva — o mesmo princípio do grade anterior.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nW,H=1080,1920\n# amostra 1 frame a cada 6s do base ja graduado (sem overlays)\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"edit/base.mp4\",\"-vf\",\"fps=1/6,scale=270:480\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.uint8)\nn=a.size//(270*480); a=a[:n*270*480].reshape(n,480,270).astype(np.float32)\nprint(f\"{n} frames amostrados\\n\")\nf=a.ravel()\nprint(\"distribuicao de luma (0-255):\")\nfor q in [0.1,0.5,1,2,5,10,20,30,50,70,90,99,99.9]:\n v=np.percentile(f,q)\n print(f\" p{q:<5} {v:6.1f} ({v/255:.4f} normalizado)\")\nprint(f\"\\n minimo absoluto: {f.min():.0f} maximo: {f.max():.0f}\")\n# quanto da imagem esta abaixo de varios limiares\nprint(\"\\nfracao do quadro abaixo de:\")\nfor t in [8,12,16,20,24,32,40]:\n print(f\" {t:3d}/255 ({t/255:.3f}): {100*(f<t).mean():5.2f}%\")\nPY",
"description": "Measure luma distribution in the graded base",
"timeout": 600000
}27 frames amostrados
distribuicao de luma (0-255):
p0.1 5.0 (0.0196 normalizado)
p0.5 10.0 (0.0392 normalizado)
p1 13.0 (0.0510 normalizado)
p2 17.0 (0.0667 normalizado)
p5 24.0 (0.0941 normalizado)
p10 41.0 (0.1608 normalizado)
p20 58.0 (0.2275 normalizado)
p30 76.0 (0.2980 normalizado)
p50 118.0 (0.4627 normalizado)
p70 141.0 (0.5529 normalizado)
p90 164.0 (0.6431 normalizado)
p99 178.0 (0.6980 normalizado)
p99.9 249.0 (0.9765 normalizado)
minimo absoluto: 0 maximo: 254
fracao do quadro abaixo de:
8/255 (0.031): 0.22%
12/255 (0.047): 0.75%
16/255 (0.063): 1.59%
20/255 (0.078): 2.86%
24/255 (0.094): 4.49%
32/255 (0.125): 7.57%
40/255 (0.157): 9.63%raciocínio interno
Looking at the histogram, the true black point sits around 5-13 with shadows compressed into a narrow band, and highlights topping out near 178 giving a low-contrast feel overall. I'm planning to deepen the blacks and add a touch of shadow crush to give the image more punch.
I'm mapping out a tone curve: pinning the new black point near 14/255 so the bottom 1% crushes to pure black, adding a gentle compression in the low shadows, keeping the 30th percentile nearly untouched, and holding the midtone (p50 ≈ 0.46) exactly fixed so the medium tones don't darken. I need to watch for spline overshoot between control points, so I'm adding extra anchor points in the upper range to keep the highlights pinned and the curve well-behaved.
This confirms the crush is concentrated in the deepest shadows (~5% of the frame) while midtones and highlights stay untouched, matching the brief exactly. Now I need to chain this curves adjustment after the colorchannelmixer step in the filter order, building the combined grade string per segment.
Since build.py passes the vf argument as a single argv element rather than through a shell, the spaces and quotes inside the curves filter value should be handled correctly by ffmpeg's own filter parser. I'll test this on a still frame first to compare before/after results.
I also want to check that resolve_grade_filter in render.py doesn't mangle a raw filter string containing commas when it's not a preset name.
Sombras medidas: p1 = 13/255, p5 = 24, p50 = 118 (0,4627). O piso de preto está em ~13, então posso baixar o ponto preto para ~14/255 sem comer detalhe real — só 0,75% do quadro está abaixo disso.
Vou desenhar a curva e testar em frame antes de comprometer 15 min de re-extração.
Bash
{
"command": "grep -n \"def resolve_grade_filter\" -A 20 ~/Developer/video-use/helpers/render.py",
"description": "Check how raw grade filters are resolved"
}67:def resolve_grade_filter(grade_field: str | None) -> str:
68- """The EDL's 'grade' field can be a preset name, a raw ffmpeg filter, or 'auto'.
69-
70- Returns the filter string to embed into the per-segment -vf chain.
71- For 'auto', returns the sentinel "__AUTO__" which is resolved per-segment.
72- """
73- if not grade_field:
74- return ""
75- if grade_field == "auto":
76- return "__AUTO__"
77- # Preset names are short identifiers, filter strings contain '=' or ','.
78- if re.fullmatch(r"[a-zA-Z0-9_\-]+", grade_field):
79- try:
80- return get_preset(grade_field)
81- except KeyError:
82- print(f"warning: unknown preset '{grade_field}', using as raw filter")
83- return grade_field
84- return grade_field
85-
86-
87-def resolve_path(maybe_path: str, base: Path) -> Path:Bash
{
"command": "CURVE=\"curves=master='0/0 0.055/0 0.16/0.135 0.30/0.288 0.46/0.46 0.70/0.70 0.85/0.85 1/1'\"\nfor t in 3 100 128; do\n ffmpeg -v error -ss $t -i edit/base.mp4 -frames:v 1 -vf \"scale=380:-1\" /tmp/b_$t.jpg -y\n ffmpeg -v error -ss $t -i edit/base.mp4 -frames:v 1 -vf \"$CURVE,scale=380:-1\" /tmp/c_$t.jpg -y\n ffmpeg -v error -i /tmp/b_$t.jpg -i /tmp/c_$t.jpg -filter_complex \"[0][1]hstack\" edit/verify/curva_$t.jpg -y\ndone\necho \"=== efeito da curva nos percentis medidos ===\"\n~/Developer/video-use/.venv/bin/python - <<'PY'\npts=[(0,0),(0.055,0),(0.16,0.135),(0.30,0.288),(0.46,0.46),(0.70,0.70),(0.85,0.85),(1,1)]\ndef lin(x):\n for (x0,y0),(x1,y1) in zip(pts,pts[1:]):\n if x0<=x<=x1: return y0+(y1-y0)*(x-x0)/(x1-x0)\n return x\nprint(f\"{'percentil':>10} {'antes':>14} {'depois':>14} variacao\")\nfor lbl,v in [(\"p0.1\",5),(\"p1\",13),(\"p2\",17),(\"p5\",24),(\"p10\",41),(\"p20\",58),\n (\"p30\",76),(\"p50 MEDIO\",118),(\"p70\",141),(\"p90\",164),(\"p99\",178)]:\n a=v/255; b=lin(a)\n d=(b-a)/a*100 if a>0 else 0\n print(f\"{lbl:>10} {v:6.0f}/255 {b*255:6.1f}/255 {d:+6.1f}%\")\nPY",
"description": "Test the black-point curve on frames",
"timeout": 300000
}=== efeito da curva nos percentis medidos ===
percentil antes depois variacao
p0.1 5/255 0.0/255 -100.0%
p1 13/255 0.0/255 -100.0%
p2 17/255 3.8/255 -77.5%
p5 24/255 12.8/255 -46.6%
p10 41/255 34.6/255 -15.5%
p20 58/255 53.2/255 -8.2%
p30 76/255 72.9/255 -4.1%
p50 MEDIO 118/255 118.0/255 +0.0%
p70 141/255 141.0/255 +0.0%
p90 164/255 164.0/255 +0.0%
p99 178/255 178.0/255 +0.0%raciocínio interno
The numbers match the brief: midtones and above untouched, deep shadows crushed, with a gentle roll-off in the low mids. But since this is a linear approximation and ffmpeg's actual curves filter uses a cubic spline, I should verify against the real filter output by measuring actual frames rather than trusting the model.
Os números batem o pedido: p50 e acima intactos (0,0%), sombras profundas crushadas (p1 → 0, p5 −47%), transição suave nos low mids. Mas isso é meu modelo linear — o curves do ffmpeg usa spline cúbica. Vou medir o resultado real.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nCURVE=\"curves=master='0/0 0.055/0 0.16/0.135 0.30/0.288 0.46/0.46 0.70/0.70 0.85/0.85 1/1'\"\ndef sample(vf):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"edit/base.mp4\",\"-vf\",vf,\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.uint8).astype(np.float32)\na=sample(\"fps=1/6,scale=270:480\")\nb=sample(f\"fps=1/6,{CURVE},scale=270:480\")\nprint(f\"{'percentil':>10} {'antes':>9} {'depois':>9} variacao (ffmpeg REAL)\")\nfor q,lbl in [(0.1,\"p0.1\"),(1,\"p1\"),(2,\"p2\"),(5,\"p5\"),(10,\"p10\"),(20,\"p20\"),\n (30,\"p30\"),(50,\"p50 MEDIO\"),(70,\"p70\"),(90,\"p90\"),(99,\"p99\")]:\n x,y=np.percentile(a,q),np.percentile(b,q)\n d=(y-x)/x*100 if x>0 else -100\n flag=\" <-- medio\" if q==50 else \"\"\n print(f\"{lbl:>10} {x:7.1f} {y:7.1f} {d:+7.1f}%{flag}\")\nprint(f\"\\nfracao no preto absoluto (=0): antes {100*(a==0).mean():.2f}% depois {100*(b==0).mean():.2f}%\")\nprint(f\"media geral: antes {a.mean():.1f} depois {b.mean():.1f} ({(b.mean()-a.mean())/a.mean()*100:+.1f}%)\")\nPY",
"description": "Measure the real ffmpeg curve output",
"timeout": 600000
} percentil antes depois variacao (ffmpeg REAL)
p0.1 5.0 0.0 -100.0%
p1 13.0 0.0 -100.0%
p2 17.0 2.0 -88.2%
p5 24.0 10.0 -58.3%
p10 41.0 34.0 -17.1%
p20 58.0 54.0 -6.9%
p30 76.0 73.0 -3.9%
p50 MEDIO 118.0 118.0 +0.0% <-- medio
p70 141.0 141.0 +0.0%
p90 164.0 164.0 +0.0%
p99 178.0 178.0 +0.0%
fracao no preto absoluto (=0): antes 0.01% depois 1.38%
media geral: antes 108.0 depois 105.7 (-2.1%)raciocínio interno
The ffmpeg output confirms the percentiles p50-p99 are unchanged, while the black point jumped to 1.38% and shadows crushed significantly at the low end (p2 down 88%, tapering off by p30), with only a minor 2.1% drop in overall mean—exactly matching the intended effect. Now I want to check the visual comparison to make sure it actually looks right, not just that the numbers check out.
Confirmado no ffmpeg real: médios e acima exatamente inalterados (p50/p70/p90/p99 = 0,0%), preto absoluto sobe de 0,01% para 1,38% do quadro, e a média geral cai só 2,1% — ou seja, não escureceu a imagem, só assentou o pé. Vou olhar.
Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/curva_100.jpg"
}[imagem]raciocínio interno
The deeper blacks and more defined shadow confirm the grade is working correctly while midtones and the green wall stay untouched — exactly the intended effect, so I'll commit it. Now I'm turning to the speed change, and since the extraction needs to be redone anyway for the grade, I'm thinking through whether to fold the speed adjustment into the composite pass.
I realize applying speed at extraction is actually cleaner: if I snap the quantization grid to frame-size times speed, the output durations land exactly on whole frames, keeping audio and video in sync through atempo and the fades. This keeps everything downstream — including timing maps and subtitles — living on the final sped-up timeline, though it means the overlay cues also need to be rescaled to match.
I realize I need to double-check whether -t applies before or after the setpts transformation, since it's placed as an output option after -i in my current command. Without setpts it didn't matter since durations matched, but now that setpts changes the timeline, I need to make sure the duration value I pass accounts for the speed change correctly.
I'm also verifying that the audio fade calculations use the output duration (after atempo) rather than source duration, and confirming that the subtitle timing math correctly scales based on measured real output durations rather than assumed ones.
For overlays, I need to insert a speed-up setpts before the fps resampling filter, then reset timestamps afterward with setpts=PTS-STARTPTS before the tpad padding. Writing overlay filter chain...
I also need to make sure the tpad tail duration accounts for the sped-up segment length, and that the color mask source uses the already-fast base duration. Let me also check the -t cap in extract_video_segment and confirm atempo is the right pitch-preserving time-stretch filter before making all these edits.
Now I'm updating build.py: adding the speed constant, adjusting the quantization grid, updating the video and audio segment extraction functions, revising the overlay chain in the glass composite builder, and updating the docstring and EDL grade accordingly.
Visualmente confirmado — o sofá, o trilho de luz e a sombra do queixo ganharam profundidade, e o rosto e a camiseta estão idênticos. Vou aplicar o grade e implementar a aceleração.
Para a velocidade, vou aplicá-la na extração, não no fim: assim toda a matemática de timeline (legenda, âncoras de overlay) já nasce no tempo final, em vez de eu ter que corrigir cada uma depois.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\np=\"edit/edl.json\"; d=json.load(open(p))\nd[\"grade\"]=(\"colorchannelmixer=rr=1.000:gg=0.997:bb=0.945,\"\n \"curves=master='0/0 0.055/0 0.16/0.135 0.30/0.288 0.46/0.46 \"\n \"0.70/0.70 0.85/0.85 1/1'\")\nd[\"speed\"]=1.1\nd[\"grade_nota\"]=(\"colorchannelmixer: puxa azul (spill do LED verde). \"\n \"curves: ponto preto em 0.055 + crush leve nas sombras. \"\n \"Medido no ffmpeg real: p50/p70/p90/p99 inalterados (0.0%), \"\n \"p5 -58%, p2 -88%, preto absoluto 0.01% -> 1.38% do quadro, \"\n \"media geral -2.1% (nao escurece a imagem).\")\njson.dump(d,open(p,\"w\"),indent=2,ensure_ascii=False)\nprint(\"grade:\", d[\"grade\"][:60],\"...\")\nprint(\"speed:\", d[\"speed\"])\nprint(\"duracao esperada:\", round(164.297/1.1,2),\"s\")\nPY",
"description": "Update EDL with new grade and speed"
}grade: colorchannelmixer=rr=1.000:gg=0.997:bb=0.945,curves=master=' ...
speed: 1.1
duracao esperada: 149.36 sBash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\n\n# --- 1. constante SPEED ---\ns=s.replace('''FPS_STR = \"30000/1001\"\nFRAME = 1001 / 30000\n''','''FPS_STR = \"30000/1001\"\nFRAME = 1001 / 30000\n\n# Aceleracao global. O video vai por `setpts`, o audio por `atempo` — que faz\n# time-stretch (WSOLA) e NAO reamostra, entao o tom da voz fica natural. Um\n# `asetrate` daria o mesmo tempo e deixaria a voz esganicada.\n#\n# Aplicada na EXTRACAO, nao no fim: assim toda a matematica de timeline a\n# jusante (src_to_real_out, ancoras de overlay, master.srt) ja nasce no tempo\n# final, em vez de precisar de correcao caso a caso.\nSPEED = 1.1\n''')\n\n# --- 2. grade de quantizacao considera SPEED ---\ns=s.replace(''' out = []\n for r in ranges:\n a = round(float(r[\"start\"]) / FRAME) * FRAME\n b = round(float(r[\"end\"]) / FRAME) * FRAME\n out.append({**r, \"start\": a, \"end\": b})\n return out''',''' Com SPEED != 1 a grade da FONTE e FRAME*SPEED: assim a duracao de saida\n (fonte/SPEED) continua sendo um numero inteiro de frames.\n \"\"\"\n grid = FRAME * SPEED\n out = []\n for r in ranges:\n a = round(float(r[\"start\"]) / grid) * grid\n b = round(float(r[\"end\"]) / grid) * grid\n out.append({**r, \"start\": a, \"end\": b})\n return out''')\ns=s.replace(''' seguem continuas (o end de um e o start do proximo, o mesmo valor snapado).\n \"\"\"\n Com SPEED''',''' seguem continuas (o end de um e o start do proximo, o mesmo valor snapado).\n\n Com SPEED''')\n\n# --- 3. video: setpts + contagem de frames na saida ---\ns=s.replace(''' vf_parts.append(zoom_chain(zoom))\n if grade_filter:\n vf_parts.append(grade_filter)\n vf = \",\".join(vf_parts)''',''' vf_parts.append(zoom_chain(zoom))\n if grade_filter:\n vf_parts.append(grade_filter)\n if SPEED != 1.0:\n vf_parts.append(f\"setpts=PTS/{SPEED}\")\n vf = \",\".join(vf_parts)''')\ns=s.replace(''' nframes = int(round(duration / FRAME))\n\n cmd = [\n \"ffmpeg\", \"-y\",\n \"-ss\", f\"{seg_start:.6f}\", \"-i\", str(source), \"-t\", f\"{duration + 4 * FRAME:.6f}\",''',\n''' out_dur = duration / SPEED\n nframes = int(round(out_dur / FRAME))\n\n # `-t` aqui e opcao de SAIDA, entao ja esta no tempo acelerado. Fica como\n # folga; quem manda na borda e o -frames:v.\n cmd = [\n \"ffmpeg\", \"-y\",\n …build.py atualizado
50:SPEED = 1.1
118: Com SPEED != 1 a grade da FONTE e FRAME*SPEED: assim a duracao de saida
119: (fonte/SPEED) continua sendo um numero inteiro de frames.
121: grid = FRAME * SPEED
154: if SPEED != 1.0:
155: vf_parts.append(f"setpts=PTS/{SPEED}")
162: out_dur = duration / SPEED
181: out_dur = duration / SPEED
186: if SPEED != 1.0:
187: af = f"atempo={SPEED},"raciocínio interno
I need to apply the speed setting to the overlay chain in build_final_composite_glass as well.
Agora os overlays — eles precisam acelerar junto, senão descolam das palavras que os ancoram.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\nold=''' ov_dur = seg_real_duration((edit_dir / ov[\"file\"]).resolve())\n tail = max(0.0, total - (t + ov_dur))\n # As composicoes HyperFrames sao 30.0 e a base 29.97: sem converter, o\n # framesync do overlay repete/dropa frames por conta propria. Converte\n # ANTES do tpad, para o padding ja nascer na grade certa.\n f.append(f\"[{i}:v]format=yuva420p,fps={FPS_STR},setpts=PTS-STARTPTS,\"'''\nnew=''' # A base ja esta acelerada, entao o overlay tem de acelerar junto — os\n # cues dele estao ancorados em palavra falada e descolariam 10%.\n ov_dur = seg_real_duration((edit_dir / ov[\"file\"]).resolve()) / SPEED\n tail = max(0.0, total - (t + ov_dur))\n # As composicoes HyperFrames sao 30.0 e a base 29.97: sem converter, o\n # framesync do overlay repete/dropa frames por conta propria. Acelera\n # ANTES do fps, e converte ANTES do tpad, para o padding ja nascer na\n # grade certa.\n f.append(f\"[{i}:v]format=yuva420p,setpts=PTS/{SPEED},fps={FPS_STR},\"\n f\"setpts=PTS-STARTPTS,\"'''\nassert old in s, \"padrao nao encontrado\"\ns=s.replace(old,new)\nopen(p,\"w\").write(s)\nprint(\"ok\")\nPY\nsed -n '/A base ja esta acelerada/,/split=2\\[oa/p' edit/build.py",
"description": "Apply speed to overlay streams in composite"
}ok
# A base ja esta acelerada, entao o overlay tem de acelerar junto — os
# cues dele estao ancorados em palavra falada e descolariam 10%.
ov_dur = seg_real_duration((edit_dir / ov["file"]).resolve()) / SPEED
tail = max(0.0, total - (t + ov_dur))
# As composicoes HyperFrames sao 30.0 e a base 29.97: sem converter, o
# framesync do overlay repete/dropa frames por conta propria. Acelera
# ANTES do fps, e converte ANTES do tpad, para o padding ja nascer na
# grade certa.
f.append(f"[{i}:v]format=yuva420p,setpts=PTS/{SPEED},fps={FPS_STR},"
f"setpts=PTS-STARTPTS,"
f"tpad=start_duration={t:.3f}:stop_duration={tail:.3f}"
f":start_mode=add:stop_mode=add:color=0x00000000,"
f"split=2[oa{i}][ob{i}]")raciocínio interno
The grade string's commas should join fine into the filter chain, but I need to double-check that the curves value's spaces and quotes get parsed correctly by ffmpeg's filter syntax—I should do a dry run on one segment to confirm. I also want to make sure the filter order is correct: crop, scale, colorchannelmixer, curves, then setpts.
Before running the full batch of 26 segments, I should test extraction on just one range first. I'm also realizing that --reuse only checks frame count, so if I ever change the grade without changing speed, it could wrongly reuse stale clips — a real footgun worth flagging in the help text. For now, since speed changed too, all frame counts will differ and force re-extraction, but to be safe I'll just delete the clips_graded directory before testing.
Um teste de um segmento antes de comprometer a re-extração inteira — a string do curves tem espaços e aspas e precisa sobreviver ao parser de filtros.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json, importlib; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build; importlib.reload(build)\nedl=json.load(open(\"edit/edl.json\"))\nfrom render import resolve_grade_filter\ngrade=resolve_grade_filter(edl[\"grade\"])\nr=build.quantize(edl[\"ranges\"])[19] # o segmento do climax, zoom 1.32\ndur=r[\"end\"]-r[\"start\"]\nprint(f\"range {r['start']:.4f}-{r['end']:.4f} fonte {dur:.4f}s -> saida {dur/build.SPEED:.4f}s\")\nprint(f\"frames esperados: {int(round(dur/build.SPEED/build.FRAME))}\")\nbuild.extract_video_segment(Path(\"video1.mp4\"), r[\"start\"], dur, r[\"zoom\"], grade,\n Path(\"/tmp/_test_seg.mp4\"), preview=True)\nprint(\"frames reais:\", build.nb_frames(Path(\"/tmp/_test_seg.mp4\")),\n \" dur:\", round(build.seg_real_duration(Path(\"/tmp/_test_seg.mp4\")),4))\nPY",
"description": "Test one segment with new grade and speed",
"timeout": 300000
}range 134.5911-142.6659 fonte 8.0747s -> saida 7.3407s
frames esperados: 220
frames reais: 220 dur: 7.3407raciocínio interno
Frame count and duration check out, and the curves string made it through the parser intact. Now I want to verify that atempo preserves pitch correctly and that the fades land in the right spots, so I'm planning to extract a voiced segment from the original and the atempo'd version and compare their fundamental frequencies via autocorrelation to confirm the voice doesn't sound pitched-up or strained.
That's a direct, honest way to address the user's concern. I'll run this quick pitch check first since it's fast, then kick off the full extraction afterward rather than running them simultaneously to avoid memory issues.
Frame count e duração exatos. Agora vou verificar o ponto que você levantou — que o tom da voz não suba. Vou medir a frequência fundamental antes e depois.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nSR=16000\ndef grab(af=None):\n cmd=[\"ffmpeg\",\"-v\",\"error\",\"-ss\",\"130\",\"-t\",\"6\",\"-i\",\"video1.mp4\",\"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR)]\n if af: cmd+=[\"-af\",af]\n cmd+=[\"-f\",\"s16le\",\"-\"]\n p=subprocess.run(cmd,capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\n\ndef f0_track(x):\n \"\"\"F0 por autocorrelacao em janelas de 40ms; ignora janelas sem voz.\"\"\"\n win=int(0.040*SR); hop=int(0.020*SR); out=[]\n lo,hi=int(SR/300),int(SR/70) # 70-300 Hz, faixa de voz masculina\n for i in range(0,len(x)-win,hop):\n w=x[i:i+win]\n if np.sqrt((w**2).mean())<0.02: continue\n w=w-w.mean()\n ac=np.correlate(w,w,\"full\")[win-1:]\n if ac[0]<=0: continue\n seg=ac[lo:hi]\n if len(seg)==0: continue\n lag=lo+int(np.argmax(seg))\n if ac[lag]/ac[0]<0.3: continue # descarta janela sem periodicidade clara\n out.append(SR/lag)\n return np.array(out)\n\norig=f0_track(grab())\nfast=f0_track(grab(\"atempo=1.1\"))\nbad =f0_track(grab(f\"asetrate={int(SR*1.1)},aresample={SR}\")) # o jeito ERRADO, para comparar\nprint(f\"{'metodo':<26} {'janelas':>8} {'F0 mediana':>12} {'desvio':>9}\")\nprint(f\"{'original':<26} {len(orig):8d} {np.median(orig):9.1f} Hz {'—':>9}\")\nfor lbl,v in [(\"atempo=1.1 (usado)\",fast),(\"asetrate (esganicado)\",bad)]:\n d=(np.median(v)-np.median(orig))/np.median(orig)*100\n print(f\"{lbl:<26} {len(v):8d} {np.median(v):9.1f} Hz {d:+8.1f}%\")\nPY",
"description": "Verify atempo preserves vocal pitch",
"timeout": 300000
}metodo janelas F0 mediana desvio
original 213 168.4 Hz —
atempo=1.1 (usado) 193 170.2 Hz +1.1%
asetrate (esganicado) 350 93.3 Hz -44.6%raciocínio interno
The atempo test shows pitch essentially unchanged, within noise. But the asetrate comparison seems off—raising the sample rate should raise pitch, not lower it by 44%, so I must be misreading the direction of that calculation.
Actually the -44.6% is likely an octave error from the pitch tracker finding a subharmonic, not a real problem with the asetrate approach. I'll drop that unreliable control measurement and just trust the clean atempo result of +1.1%, which confirms pitch is preserved.
Now I'll move forward with the full extraction, making sure to delete the stale clips_graded data first and add a warning about grade changes to the --reuse flag.
atempo=1.1 preservou o tom: 168,4 Hz → 170,2 Hz, +1,1% — dentro do ruído de medição. A voz sai no tom natural. (Meu controle com asetrate deu erro de oitava no detector, então não vou citar aquele número — mas a medição que importa está limpa.)
Vou limpar os clipes com o grade antigo e rodar a re-extração completa.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\ns=s.replace('help=\"pula segmentos ja extraidos com a contagem de frames certa\")',\n 'help=\"pula segmentos ja extraidos com a contagem de frames certa. '\n 'CUIDADO: so olha a contagem de frames, entao NAO detecta mudanca de '\n 'grade. Mudou o grade sem mudar range? apague clips_graded/ antes.\")')\nopen(p,\"w\").write(s)\nPY\nrm -rf edit/clips_graded && echo \"clips_graded/ removido (grade antigo)\"\nrm -f /tmp/_test_seg.mp4 /tmp/b_*.jpg /tmp/c_*.jpg\n~/Developer/video-use/.venv/bin/python edit/build.py -o edit/_tmp.mp4 --no-subtitles --no-overlays --no-loudnorm 2>&1 | tail -10",
"description": "Re-extract all segments with new grade and speed",
"run_in_background": true
}Command running in background with ID: bquxffjva. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bquxffjva.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "until [ -f edit/_tmp.mp4 ]; do sleep 15; done; sleep 2; tail -14 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bquxffjva.output",
"description": "Wait for re-extraction",
"timeout": 2400000
}clips_graded/ removido (grade antigo)
[00] 6.386- 24.885 ( 18.50s)
[01] 25.472-112.129 ( 86.66s)
[02] 113.597-145.676 ( 32.08s)
[03] 195.372-212.255 ( 16.88s)
[04] 159.439-169.753 ( 10.31s)
video 149.483s audio 164.431s (delta +14948 ms)
master.srt: 103 legendas
duracao real do base: 149.483s
pronto: [oculto]/Desktop/aula-edit/edit/_tmp.mp4 (222.3 MB) video 149.48s
[exited with code 0]raciocínio interno
The audio duration of 164.431s matches natural speed, meaning the atempo filter never actually applied despite my patch. I'm tracing back through my fade-in/fade-out filter changes to see where the tempo adjustment got dropped.
I also realize there's a separate potential bug: I'm passing -t duration using the source duration as an output-side trim, but with atempo applied the output would be shorter, so that -t value might be wrong too. I need to actually read through the current extract_audio_segment function to pin down what's happening.
O áudio não acelerou — 164,4s contra 149,5s de vídeo. Meu patch no extract_audio_segment não pegou. Vou ler a função.
Bash
{
"command": "sed -n '/^def extract_audio_segment/,/^def concat_stream/p' edit/build.py",
"description": "Read current extract_audio_segment"
}def extract_audio_segment(source, seg_start, duration, out_path):
"""Um bloco de audio com fade de 30ms em cada borda (Regra Dura nº 3)."""
out_path.parent.mkdir(parents=True, exist_ok=True)
out_dur = duration / SPEED
fade_out = max(0.0, out_dur - 0.03)
# atempo PRIMEIRO: os fades tem de cair no tempo de saida, senao o de saida
# entra 10% cedo demais e corta a ultima silaba do bloco.
af = ""
if SPEED != 1.0:
af = f"atempo={SPEED},"
af += f"afade=t=in:st=0:d=0.03,afade=t=out:st={fade_out:.3f}:d=0.03"
cmd = [
"ffmpeg", "-y",
"-ss", f"{seg_start:.6f}", "-i", str(source), "-t", f"{duration:.6f}",
"-vn", "-af", af,
"-c:a", "pcm_s16le", "-ar", "48000", "-ac", "2", str(out_path),
]
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)
def concat_stream(paths, out_path, edit_dir, copy=True):raciocínio interno
I'm double-checking the duration math: since -t is an output option applied after the atempo filter, it shouldn't truncate since the sped-up output is already shorter than the limit. So each block's output duration should actually be duration/1.1, meaning the total should sum to about 149.48s rather than the 164.431s that was reported, which doesn't match.
I'm now suspecting the concat step or a stale build might be the culprit, so I want to directly measure the actual wav file durations in clips_graded to verify what's really happening rather than reasoning about it abstractly.
I should go with Option A and move -t before -i for the audio extraction, since that's the cleaner fix. For the video extraction though, -frames:v already acts as the authoritative stop condition, so reading slightly more input there is harmless — the output frame count is what actually controls things, not the -t duration.
Achei o bug, e é sério. No comando de áudio o -t vem depois do -i, então é opção de saída: o ffmpeg limitava a saída a duration segundos, mas não limitava a entrada — com atempo ele puxava duration × 1,1 de fonte para preencher. Ou seja, cada bloco de áudio estava carregando 10% de material além do ponto de corte, acelerado.
No vídeo isso não aconteceu porque -frames:v é quem manda na borda. Corrigindo:
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\nold=''' cmd = [\n \"ffmpeg\", \"-y\",\n \"-ss\", f\"{seg_start:.6f}\", \"-i\", str(source), \"-t\", f\"{duration:.6f}\",\n \"-vn\", \"-af\", af,'''\nnew=''' # `-t` ANTES do -i, como opcao de ENTRADA. Depois do -i ele limita a SAIDA,\n # e com atempo o ffmpeg simplesmente puxa 10% a mais de fonte para preencher\n # os mesmos segundos de saida — o bloco passava do ponto de corte.\n cmd = [\n \"ffmpeg\", \"-y\",\n \"-ss\", f\"{seg_start:.6f}\", \"-t\", f\"{duration:.6f}\", \"-i\", str(source),\n \"-vn\", \"-af\", af,'''\nassert old in s\ns=s.replace(old,new)\nopen(p,\"w\").write(s)\nprint(\"corrigido\")\nPY\n~/Developer/video-use/.venv/bin/python edit/build.py -o edit/_tmp.mp4 --no-subtitles --no-overlays --no-loudnorm --reuse 2>&1 | tail -12",
"description": "Fix audio -t placement and rebuild",
"timeout": 1200000
}corrigido
[25] punch 164.835-169.753 ( 4.92s) zoom 1.20x CTA
extraindo 5 blocos de audio (21 punches nao tocam no audio)
[00] 6.386- 24.885 ( 18.50s)
[01] 25.472-112.129 ( 86.66s)
[02] 113.597-145.676 ( 32.08s)
[03] 195.372-212.255 ( 16.88s)
[04] 159.439-169.753 ( 10.31s)
video 149.483s audio 149.523s (delta +40 ms)
master.srt: 103 legendas
duracao real do base: 149.483s
pronto: [oculto]/Desktop/aula-edit/edit/_tmp.mp4 (222.6 MB) video 149.48sraciocínio interno
Now video is at 149.483 and audio at 149.523, a 40ms delta with audio running slightly longer. This comes from atempo's WSOLA processing rounding per block—roughly 8ms across each of the 5 blocks adds up to that 40ms drift, which could translate into noticeable lip sync error within the final block.
Since audio ends up lagging behind video by 40ms, that's well within the tolerable threshold for audio delay (~125ms), so it's acceptable as-is. But I want to tighten this up by forcing each audio block to its exact expected duration—padding with silence if atempo undershoots, then trimming to the precise target length before applying fade in/out, ensuring the fade timing aligns correctly with the exact output duration.
Melhor, mas ainda há +40 ms de deriva: o atempo (WSOLA) não devolve exatamente duração/1,1 amostras, e o resíduo acumula pelos 5 blocos. Está abaixo do limiar perceptível, mas dá para travar exato.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\nold=''' af = \"\"\n if SPEED != 1.0:\n af = f\"atempo={SPEED},\"\n af += f\"afade=t=in:st=0:d=0.03,afade=t=out:st={fade_out:.3f}:d=0.03\"'''\nnew=''' af = \"\"\n if SPEED != 1.0:\n # atempo (WSOLA) nao devolve exatamente duration/SPEED amostras — sobra\n # alguns ms por bloco, que acumulam (+40ms em 5 blocos). apad+atrim\n # travam o bloco no comprimento exato: se faltar, completa com silencio;\n # se sobrar, corta. Assim video e audio batem bloco a bloco.\n af = f\"atempo={SPEED},apad,atrim=end={out_dur:.6f},asetpts=N/SR/TB,\"\n af += f\"afade=t=in:st=0:d=0.03,afade=t=out:st={fade_out:.3f}:d=0.03\"'''\nassert old in s\ns=s.replace(old,new)\nopen(p,\"w\").write(s)\nprint(\"ok\")\nPY\n~/Developer/video-use/.venv/bin/python edit/build.py -o edit/_tmp.mp4 --no-subtitles --no-overlays --no-loudnorm --reuse 2>&1 | tail -6",
"description": "Pin audio block length exactly and rebuild",
"timeout": 1200000
}ok
[04] 159.439-169.753 ( 10.31s)
video 149.483s audio 149.483s (delta +0 ms)
master.srt: 103 legendas
duracao real do base: 149.483s
pronto: [oculto]/Desktop/aula-edit/edit/_tmp.mp4 (222.6 MB) video 149.48sraciocínio interno
Good, the delta checks out at 0ms. Before running the composite, I want to double check the block boundaries on the new base timeline to make sure the -t fix didn't clip any syllables, recalculating each block's start and end times against the adjusted 1.1x speed factor.
I catch a bug though: composite.py computes real durations directly from the EDL ranges without dividing by SPEED, which means overlay anchors would land 10% too late since the timeline is sped up. build.py already handles this correctly by measuring actual clip durations, so I should fix composite.py the same way — measuring the real clips in clips_graded rather than trusting the EDL's raw end-start values.
Sincronia travada em +0 ms. Antes de compositar, uma correção no composite.py: ele deriva as durações do EDL como end - start, o que agora está 10% errado — precisa medir os clipes reais.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/composite.py\"; s=open(p).read()\nold=''' edl = json.loads((EDIT / \"edl.json\").read_text())\n ranges = build.quantize(edl[\"ranges\"])\n real = [r[\"end\"] - r[\"start\"] for r in ranges] # ja snapado na grade'''\nnew=''' edl = json.loads((EDIT / \"edl.json\").read_text())\n ranges = build.quantize(edl[\"ranges\"])\n\n # Duracoes MEDIDAS dos clipes, nao (end-start) do EDL: com SPEED != 1 o\n # range da fonte e 10% mais longo que o segmento de saida, e usar o valor\n # do EDL jogaria toda ancora de overlay 10% para a frente.\n clips = sorted((EDIT / \"clips_graded\").glob(\"seg_*.mp4\"))\n if len(clips) != len(ranges):\n sys.exit(f\"clips_graded tem {len(clips)} segmentos para {len(ranges)} ranges\")\n real = [build.seg_real_duration(c) for c in clips]'''\nassert old in s\ns=s.replace(old,new)\nopen(p,\"w\").write(s)\nprint(\"composite.py corrigido\")\nPY\nmv edit/_tmp.mp4 /tmp/_discard.mp4 2>/dev/null; rm -f /tmp/_discard.mp4\n~/Developer/video-use/.venv/bin/python edit/composite.py --base edit/base.mp4 -o edit/final_v2.mp4 --batch 5 2>&1 | tail -16",
"description": "Fix composite timeline math and run final composite",
"run_in_background": true
}Command running in background with ID: bolhaf8et. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bolhaf8et.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "until [ -f edit/final_v2.mp4 ] || ! ps aux | grep -q \"[c]omposite.py\"; do sleep 10; done; sleep 3; cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bolhaf8et.output | tail -18",
"description": "Wait for the composite to finish",
"timeout": 2400000
}composite.py corrigido
slot_1: fonte 7.00s -> saida 0.558s titulo
slot_2: fonte 49.23s -> saida 38.415s custo de uma venda
slot_3: fonte 62.06s -> saida 50.079s 1992 Rodenburg
slot_4: fonte 82.36s -> saida 68.533s a proposta
slot_5: fonte 104.76s -> saida 88.897s payoff
base 149.483s · 5 overlays · lote 5
compositing (frosted glass) → final_v2.prenorm.mp4 [5 overlays, sigma 40]
loudnorm -> -14 LUFS / -1 dBTP
loudnorm pass 1: measuring final_v2.prenorm.mp4
measured: I=-9.09 LUFS TP=0.75 LRA=2.40
loudnorm pass 2: normalizing → final_v2.mp4
pronto: [oculto]/Desktop/aula-edit/edit/final_v2.mp4 (178.5 MB)
video 149.45s · audio 149.48s · delta +33 ms
[exited with code 0]raciocínio interno
The composite finished with video at 149.45s and audio at 149.48s, a 33ms gap that's within the guard threshold. This looks like an end-of-file truncation from the shortest=1 flag rather than progressive drift, since the base stream had zero delta.
Now I need to run through verification: confirm the duration matches the expected sped-up timeline, check that overlays still land on the correct words at each anchor point, verify the color grade blacks, confirm pitch sounds natural, and cross-check the SRT timing against the final sped timeline.
Composite pronto. Verificação completa.
Bash
{
"command": "echo \"=== streams ===\" && ffprobe -v error -show_entries stream=codec_type,codec_name,width,height,r_frame_rate,pix_fmt -show_entries format=duration -of default=nw=1 edit/final_v2.mp4\necho \"=== duracao esperada ===\" && ~/Developer/video-use/.venv/bin/python -c \"print(f'v1 164.297s / 1.1 = {164.297/1.1:.2f}s')\"\necho \"=== fim da legenda ===\" && tail -4 edit/master.srt\necho \"=== loudness ===\" && ffmpeg -hide_banner -i edit/final_v2.mp4 -af ebur128=peak=true -f null - 2>&1 | grep -A6 \"Integrated\" | tail -12",
"description": "Verify final v2 streams, duration and loudness",
"timeout": 600000
}=== streams ===
codec_name=h264
codec_type=video
width=1080
height=1920
pix_fmt=yuv420p
r_frame_rate=30000/1001
codec_name=aac
codec_type=audio
r_frame_rate=0/0
duration=149.482000
=== duracao esperada ===
v1 164.297s / 1.1 = 149.36s
=== fim da legenda ===
103
00:02:28,853 --> 00:02:29,243
próximo.
=== loudness ===
Integrated loudness:
I: -14.0 LUFS
Threshold: -24.1 LUFS
Loudness range:
LRA: 2.4 LU
Threshold: -34.2 LUFSraciocínio interno
Duration and loudness check out fine, so now I need to verify pitch naturalness in the final output, confirm the overlay word-sync, and check the black levels in the grade. I'll measure pitch on the final render and visually check that slot_5's counter lands on "agências" for sync.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, sys, json, numpy as np\nsys.path.insert(0,\"edit\"); import build\nfrom pathlib import Path\nSR=16000\ndef f0(src, ss, dur=6):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(ss),\"-t\",str(dur),\"-i\",src,\n \"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\n x=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\n win=int(0.040*SR); hop=int(0.020*SR); out=[]; lo,hi=int(SR/300),int(SR/70)\n for i in range(0,len(x)-win,hop):\n w=x[i:i+win]\n if np.sqrt((w**2).mean())<0.02: continue\n w=w-w.mean(); ac=np.correlate(w,w,\"full\")[win-1:]\n if ac[0]<=0: continue\n seg=ac[lo:hi]\n if not len(seg): continue\n lag=lo+int(np.argmax(seg))\n if ac[lag]/ac[0]<0.3: continue\n out.append(SR/lag)\n return np.median(out), len(out)\n# mesmo trecho de fala: fonte 130s -> saida correspondente\nedl=json.load(open(\"edit/edl.json\")); ranges=build.quantize(edl[\"ranges\"])\nclips=sorted(Path(\"edit/clips_graded\").glob(\"seg_*.mp4\"))\nreal=[build.seg_real_duration(c) for c in clips]\nt_out=build.src_to_real_out(130.0,ranges,real)\na,na=f0(\"video1.mp4\",130.0); b,nb=f0(\"edit/final_v2.mp4\",t_out)\nprint(f\"F0 mediana fonte @130.0s: {a:6.1f} Hz ({na} janelas)\")\nprint(f\"F0 mediana final @{t_out:.1f}s: {b:6.1f} Hz ({nb} janelas) desvio {(b-a)/a*100:+.1f}%\")\nprint()\n# ancora do slot_5: o contador deve aterrissar em 'agencias' (fonte 106.12)\nfor src_t,lbl in [(105.28,\"'quatrocentas'\"),(106.12,\"'agencias'\"),(108.42,\"'um exercito'\")]:\n print(f\" {lbl:<16} fonte {src_t:6.2f}s -> saida {build.src_to_real_out(src_t,ranges,real):6.2f}s\")\nPY",
"description": "Verify pitch preserved and compute overlay sync points",
"timeout": 300000
}F0 mediana fonte @130.0s: 168.4 Hz (213 janelas)
F0 mediana final @110.5s: 166.7 Hz (209 janelas) desvio -1.0%
'quatrocentas' fonte 105.28s -> saida 89.37s
'agencias' fonte 106.12s -> saida 90.13s
'um exercito' fonte 108.42s -> saida 92.22sraciocínio interno
The pitch shift is negligible, essentially within noise, so the voice sounds natural in the final file. Now I want to confirm the counter overlay lands precisely on "agências" around 90.13s, so I'll pull frames near that timestamp to check alignment, then review the grade visually and put together a verification sheet.
Tom preservado no arquivo entregue: 168,4 → 166,7 Hz (−1,0%). Agora vou confirmar que os overlays continuam colados nas palavras depois da aceleração — o contador do slot 5 deve chegar em +400 exatamente em "agências" (saída 90,13s).
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess\nfor t,l in [(89.30,\"durante a contagem\"),(90.20,\"em 'agencias' — deve estar em +400\"),(92.60,\"'um exercito'\")]:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"edit/final_v2.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"crop=1080:300:0:30,scale=760:-1\",f\"/tmp/sy_{t}.jpg\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"/tmp/sy_89.3.jpg\",\"-i\",\"/tmp/sy_90.2.jpg\",\"-i\",\"/tmp/sy_92.6.jpg\",\n \"-filter_complex\",\"[0][1][2]vstack=3\",\"edit/verify/sync_slot5.jpg\",\"-y\"],check=True)\nprint(\"topo: contando | meio: deve estar +400 | baixo: consequencia\")\nPY",
"description": "Check overlay word-sync after speed change",
"timeout": 300000
}topo: contando | meio: deve estar +400 | baixo: consequenciaRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/sync_slot5.jpg"
}[imagem]raciocínio interno
The sync held up through the speed change, with the counter and consequence pill landing right on cue, and the overlays staying word-locked. Now I want to verify the final grade with a last contact sheet, double-check that the emenda audio fix properly ends blocks at the right place, and confirm the block 2 boundary between tese and provocação doesn't have any "Agora" bleed.
Working out the block boundaries in the fast timeline: block0 ends at 16.817s, block1 at 95.596s, block2 at 124.759s. I'll check the audio around that last boundary and run a final contact sheet with the new grade.
Sincronia intacta: o contador está em "0" durante "quatrocentas", chega em +400 exatamente em "agências", e a pílula da consequência entra depois. A correção do -t não descolou nada.
Última verificação — a emenda crítica no áudio (a que engolia o "Agora") e o grade no arquivo final.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nSR=16000; t0=124.45\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t0),\"-t\",\"0.75\",\"-i\",\"edit/final_v2.mp4\",\n \"-map\",\"0:a\",\"-ac\",\"1\",\"-ar\",str(SR),\"-f\",\"s16le\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.int16).astype(np.float32)/32768.0\nhop=int(0.010*SR)\nprint(\"emenda TESE -> PROVOCACAO (corte em ~124.759s no tempo acelerado)\")\nfor i in range(len(a)//hop):\n w=a[i*hop:(i+1)*hop]\n db=20*np.log10(np.sqrt((w**2).mean())+1e-9); t=t0+i*0.010\n m=\" <-- EMENDA\" if abs(t-124.759)<0.006 else \"\"\n print(f\" {t:7.3f} {db:7.1f} {'#'*max(0,int((db+70)/2))}{m}\")\nPY",
"description": "Verify the critical audio emend in the sped final",
"timeout": 300000
}emenda TESE -> PROVOCACAO (corte em ~124.759s no tempo acelerado)
124.450 -13.2 ############################
124.460 -14.6 ###########################
124.470 -16.1 ##########################
124.480 -17.7 ##########################
124.490 -18.3 #########################
124.500 -17.1 ##########################
124.510 -16.3 ##########################
124.520 -16.5 ##########################
124.530 -24.4 ######################
124.540 -21.2 ########################
124.550 -25.0 ######################
124.560 -28.3 ####################
124.570 -27.4 #####################
124.580 -31.7 ###################
124.590 -32.7 ##################
124.600 -31.4 ###################
124.610 -29.7 ####################
124.620 -24.6 ######################
124.630 -20.1 ########################
124.640 -17.8 ##########################
124.650 -18.5 #########################
124.660 -23.3 #######################
124.670 -20.0 #########################
124.680 -21.9 ########################
124.690 -22.5 #######################
124.700 -22.9 #######################
124.710 -23.0 #######################
124.720 -24.8 ######################
124.730 -31.4 ###################
124.740 -31.4 ###################
124.750 -51.6 #########
124.760 -69.8 <-- EMENDA
124.770 -63.2 ###
124.780 -58.4 #####
124.790 -54.0 #######
124.800 -58.0 ######
124.810 -20.7 ########################
124.820 -16.2 ##########################
124.830 -19.4 #########################
124.840 -18.2 #########################
124.850 -18.4 #########################
124.860 -15.8 ###########################
124.870 -15.3 ###########################
124.880 -16.3 ##########################
124.890 -14.3 ###########################
124.900 -13.3 ############################
124.910 -13.0 ############################
124.920 -13.9 ############################
124.930 -15.0 ###########################
124.940 -13.6 ############################
124.950 -12.8 ############################
124.960 -12.4 ############################
124.970 -13.2 ############################
124.980 -14.7 ###########################
124.990 -16.5 ##########################
125.000 -18.3 #########################
125.010 -16.8 ##########################
125.020 -15.7 ###########################
125.030 -13.7 ############################
125.040 -14.5 ###########################
125.050 -14.9 ###########################
125.060 -14.7 ###########################
125.070 -15.4 ###########################
125.080 -12.9 ############################
125.090 -12.6 ############################
125.100 -12.2 ############################
125.110 -12.5 ############################
125.120 -12.2 ############################
125.130 -12.7 ############################
125.140 -12.2 ############################
125.150 -12.7 ############################
125.160 -15.8 ###########################
125.170 -17.8 ##########################
125.180 -18.2 #########################
125.190 -22.6 #######################raciocínio interno
The edit checks out clean - "mudou." fades to -69.8 dB at the cut, about 50ms of room tone, then "Agora" attacks at 124.810 with no swallowed word or pop. Now I'll build the final contact sheet with the new grade and compare v1 vs v2 side by side for a last visual check.
Emenda limpa no arquivo acelerado. Última conferência visual — comparando v1 e v2 lado a lado.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess\n# mesmo instante de conteudo nos dois: v2 = v1/1.1\nfor t1,l in [(3.0,\"titulo\"),(100.5,\"payoff\"),(128.0,\"climax\")]:\n t2=t1/1.1\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t1),\"-i\",\"edit/final.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"scale=300:-1\",f\"/tmp/v1_{t1}.jpg\",\"-y\"],check=True)\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t2),\"-i\",\"edit/final_v2.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"scale=300:-1\",f\"/tmp/v2_{t1}.jpg\",\"-y\"],check=True)\nins=[]\nfor t1,_ in [(3.0,0),(100.5,0),(128.0,0)]: ins+=[\"-i\",f\"/tmp/v1_{t1}.jpg\"]\nfor t1,_ in [(3.0,0),(100.5,0),(128.0,0)]: ins+=[\"-i\",f\"/tmp/v2_{t1}.jpg\"]\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",*ins,\"-filter_complex\",\n \"[0][1][2]hstack=3[a];[3][4][5]hstack=3[b];[a][b]vstack\",\"edit/verify/v1_vs_v2.jpg\",\"-y\"],check=True)\nprint(\"linha de cima: v1 (antes) | linha de baixo: v2 (pretos corrigidos)\")\nPY",
"description": "Build v1 vs v2 grade comparison",
"timeout": 300000
}linha de cima: v1 (antes) | linha de baixo: v2 (pretos corrigidos)Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/v1_vs_v2.jpg"
}[imagem]raciocínio interno
The comparison confirms blacks are deeper in v2 while skin tones and the green wall stay unchanged, which matches expectations. The slight mouth position differences between frames are just due to the speed adjustment not landing on identical frame timings.
Everything checks out, so I'll finalize by replacing final.mp4 with the new adjusted version rather than keeping the old one around — it's superseded and disk space is already tight. I'll clean up temp files, update project.md with this session's notes, and confirm the duration discrepancy (149.45 vs 149.482) is negligible before sending the file.
Tudo confere: pretos mais profundos no sofá, nos quadros e nas sombras; pele, camiseta e parede verde idênticas. Vou consolidar.
Bash
{
"command": "rm -f edit/final.mp4 && mv edit/final_v2.mp4 edit/final.mp4\nrm -f /tmp/v1_*.jpg /tmp/v2_*.jpg /tmp/sy_*.jpg edit/_tmp.mp4\nls -la edit/final.mp4 edit/master.srt && du -sh edit/\nffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 edit/final.mp4",
"description": "Consolidate final file and clean temps"
}-rw-r--r--@ 1 [oculto] staff 187136467 Aug 20 17:52 edit/final.mp4
-rw-r--r--@ 1 [oculto] staff 6052 Aug 20 17:45 edit/master.srt
901M edit/
149.482000Bash
{
"command": "cat >> edit/project.md <<'EOF'\n\n---\n\n## Sessão 2 — 2026-08-20 (mesmo dia)\n\nDois ajustes pedidos pelo usuário sobre o corte já aprovado: **velocidade 1,1×**\ne **pretos mais profundos**. Duração 2:44,6 → **2:29,5**.\n\n### Velocidade — aplicada na EXTRAÇÃO, não no fim\n\n`SPEED = 1.1` no `build.py`. Vídeo por `setpts=PTS/1.1`, áudio por `atempo=1.1`\n(time-stretch WSOLA — preserva o tom; `asetrate` daria o mesmo tempo com a voz\nesganiçada). Overlays levam `setpts` no composite, senão descolam 10% das\npalavras que os ancoram.\n\n**Por que na extração:** assim `src_to_real_out`, as âncoras de overlay e o\n`master.srt` já nascem no tempo final. Aplicar no fim obrigaria a corrigir cada\num separadamente.\n\n`quantize()` passou a snapar na grade `FRAME * SPEED` na fonte — assim a duração\nde saída (fonte/SPEED) continua sendo número inteiro de frames.\n\n**Verificado:** F0 mediana da voz 168,4 Hz na fonte → 166,7 Hz no final (−1,0%,\nruído de medição). O tom está natural.\n\n### Três armadilhas de aceleração (as três morderam)\n\n1. **`-t` depois do `-i` é opção de SAÍDA.** No comando de áudio isso fazia o\n ffmpeg puxar `duration × 1,1` de fonte para preencher `duration` segundos de\n saída — **cada bloco passava 10% além do ponto de corte**. Sintoma: vídeo\n 149,5s e áudio 164,4s. Corrigido movendo `-t` para antes do `-i`. No vídeo não\n apareceu porque `-frames:v` é quem manda na borda.\n2. **`atempo` não devolve exatamente `duration/SPEED` amostras.** WSOLA deixa\n alguns ms por bloco, que acumulam (+40 ms em 5 blocos). Travado com\n `apad,atrim=end=<out_dur>,asetpts=N/SR/TB`. Delta final: **0 ms**.\n3. **`composite.py` derivava as durações do EDL** (`end - start`), que com SPEED\n está 10% errado — jogaria toda âncora de overlay 10% à frente. Agora mede os\n clipes reais em `clips_graded/`.\n\n### Grade — ponto preto + crush leve\n\nSomado ao `colorchannelmixer` da sessão 1:\n\n```\ncurves=master='0/0 0.055/0 0.16/0.135 0.30/0.288 0.46/0.46 0.70/0.70 0.85/0.85 1/1'\n```\n\nDerivado da medição do próprio base (27 frames): p1 = 13/255, p5 = 24, p50 = 118.\nO ponto preto em 0,055 (14/255) zera o 0,75% mais escuro sem comer detalhe real.\n\n**Medido no ffmpeg real, não estimado:**\n\n| | p2 | p5 | p10 | p30 | **p50** | p70 | p90 | p99 |\n|---|---|---|---|---|---|---|---|---|\n| variação | −88% | −58% | −17% | −4% | **0,0%** | **0,0%** | **0,0%** | **0,0%** |\n\nPreto absoluto: 0,01% → 1,38% do quadro. Média geral −2,1% (n…project.md: 181 linhasSendUserFile
{
"files": [
"[oculto]/Desktop/aula-edit/edit/master.srt"
],
"caption": "SRT regenerado no timeline acelerado (termina em 2:29,2). O final.mp4 tem 178 MB e passa do limite de upload — abra pelo caminho.",
"status": "normal"
}1 file delivered to user.
[oculto]/Desktop/aula-edit/edit/master.srt → file_uuid: 0d7f0dc0-1c8a-43c0-b106-e3a10b1d4d2bPronto.
O arquivo final
[oculto]/Desktop/aula-edit/edit/final.mp4
Substituí o anterior no mesmo caminho. 2:29,5 (era 2:44,6) · 1080×1920 · 29,97fps · −14,0 LUFS. O master.srt foi regenerado no timeline acelerado e está aqui no chat; o vídeo tem 178 MB, acima do limite de upload, então só abre pelo app desktop desta máquina.
1) Velocidade 1,1×
Usei atempo, que faz time-stretch e não reamostra — é o que mantém o tom. Medi a fundamental da sua voz para confirmar, em vez de confiar no filtro: 168,4 Hz na fonte → 166,7 Hz no final, −1,0%, dentro do ruído de medição. Não esganiçou.
Apliquei a aceleração na extração, não no fim, para que a legenda e as âncoras dos overlays já nascessem no tempo certo. Os overlays aceleraram junto — verifiquei que o contador ainda chega em "+400" exatamente na palavra "agências".
2) Pretos
Medi as sombras do próprio material antes de desenhar a curva: p1 = 13/255, p5 = 24, p50 = 118. Ponto preto em 14/255 mais um crush suave que volta à identidade antes dos médios.
Resultado medido no ffmpeg, não estimado:
| p2 | p5 | p10 | p30 | p50 | p70 | p90 | p99 | |
|---|---|---|---|---|---|---|---|---|
| variação | −88% | −58% | −17% | −4% | 0,0% | 0,0% | 0,0% | 0,0% |
Preto absoluto passou de 0,01% para 1,38% do quadro; média geral caiu só 2,1%. Médios, altas e o branco ficaram exatamente inalterados — nada de escurecer a imagem nem estourar contraste, como você pediu.
Um erro que cometi e corrigi no caminho
Vale registrar porque quase passou: no comando de áudio o -t estava depois do -i, o que faz dele opção de saída. Com atempo no meio, o ffmpeg passou a puxar 10% a mais de material da fonte para preencher os mesmos segundos — ou seja, cada bloco de áudio invadia o trecho que eu tinha cortado. Só apareceu porque o pipeline reporta o delta vídeo/áudio: 149,5s contra 164,4s. Corrigido, mais um trava-comprimento no atempo (que deixava +40 ms de resíduo acumulado). O delta final é 0 ms.
Reconferi depois a emenda mais delicada — a que na primeira sessão engolia o "Agora" do take descartado — e ela continua limpa: fade até −70 dB, ~50 ms de room tone, e a provocação entrando do outro lado.
Tudo documentado em edit/project.md, incluindo uma armadilha do --reuse que criei: ele compara contagem de frames e por isso não detecta mudança de grade — se mexer só na cor, é preciso apagar clips_graded/ antes.
A aceleração ficou certa. Mas podemos melhorar a correção de cor. Eu gostaria de algo mais como um S-curve. Pretos mais preto e highlights menos estourado. Além disso, preciso que desça a altura dos overlays em 12% e tirando o título, no geral, a fonte ficou muito pequena nos overlays. Preciso que aumente pelo menos uns 20/30%. E precisamos de mais overlays. Passasse muito tempo sem overlay na tela.
raciocínio interno
I'm working through the S-curve adjustment — deepening the blacks while also rolling off the highlights so they're less blown out, which means pulling the top of the curve down rather than the typical contrast-boosting lift.
Looking at the highlight distribution, p90 sits at 164, p99 at 178, but p99.9 jumps to 249 and max hits 254 — so only a tiny fraction (the light fixtures and specular hits) is actually clipping, while the bulk of highlights are well below that.
I suspect the real culprit is the green channel railing on the LED wall rather than overall luminance blowing out, so I want to check per-channel histograms to confirm. Separately, I need to figure out the overlay height reduction — 12% likely refers to 12% of frame height, which would shift the band top from 44 to roughly 274.
Checking head clearance, moving the band to 274 with ~200px tall cards means the band bottom lands around 520, well past the measured head top near 317px — so the cards will cover part of his hair. That's consistent with the profile's note that this is an intentional directorial choice, not a bug to fix by pushing the band back up.
The hard guard is the subtitle zone at y=1700, and with content only reaching ~500, there's plenty of margin there. Bigger fonts will push things down further though, so I should compute that and flag it, but overall the plan is clear: apply the 12% shift as requested and just note the head-covering consequence since the user already accepted this tradeoff before.
Now for the font increase, I'll bump all overlays except the title by 20-30%.
For the "more overlays" request, I'm mapping out the current coverage gaps in the sped-up timeline — checking where slots 1 through 5 fall against the 149.48s total runtime to see how much dead space exists between them.
The gaps are significant: 30.9s between slots 1 and 2, 12.1s between slots 3 and 4, 11.1s between slots 4 and 5, and a massive 54s gap after slot 5 that covers the entire second half of the video — the lição, tese, provocação, and assinatura. I need to design new overlay slots to fill these, starting with the 30.9s gap which covers the narrative about the operation before Galileu, including the detail about dozens of messengers running all day in the big agencies.
Then comes the pivotal moment — "Aí chegou um sistema chamado Galileu" — which is the turning point of the story, followed by the explanation of how the old process worked: client calls the agency, agent calls the airline, waits for confirmation, sends a messenger for the physical ticket. I'm planning a new slot for this reveal, maybe a chip-style card marking "1992 · Sistema Galileu" to visually mark the turning point.
Since slot_3 already covers 1992/Rodenburg and the Galileu implementation at 62s, I want to avoid redundancy while still giving this earlier moment its own visual beat — so I'm thinking of making slot_6 a stat card highlighting the scale of the old manual operation, something like "dezenas de mensageiros" running all day, right before the Galileu reveal.
Then slot_7 can be the short punchy turn — "Aí chegou o Galileu" — and slot_8 could map out the old booking flow as a four-step chain (client calls → agent calls airline → reservation → messenger fetches ticket), which covers a longer stretch nicely. But I'm wary of overloading the gap with too many overlays given the "one element at a time" guidance, so I want to keep density reasonable rather than wall-to-wall. I'm now laying out the full slot map for gap 1, starting with slot_6 at source time 15.40 to 21.20.
Actually, a 3.5s punch card for "Aí chegou o Galileu" is workable with the ≥3s floor and hold-final-frame rule — enter at 0.3, hold, dissolve at 2.9. But I like merging it instead: make slot_6 span 15.4-24.8 as one slot with two beats, first the "dezenas de mensageiros" text then crossfading in place to "Aí chegou o Galileu" at 21.4 — cleaner than splitting into separate slots.
For the next segment (27.5-46.5, 19s), that's too long for one beat, so I'm breaking it into a 4-step revealed chain: cliente liga na agência, agente liga na companhia aérea, espera a confirmação, mensageiro busca o bilhete, ending around 46.5 with a dissolve before slot_2 (custo) starts at 49.23, leaving a fine 2.7s gap. I need to check this against the segment boundaries though, since the overlay spans across B1, B2, and B3 with different z-indices.
I'm noticing the zoom changes at 33.10 and 40.90 happen while the overlay is still on screen, and the profile says punches are allowed during the overlay's hold but not during its entry or exit — these punches do fall during the hold, so that's fine. But there's a conflicting rule elsewhere that says to lock the zoom entirely during any block with an animated overlay, since two moving things compete visually. I'm resolving this by noting the punch-during-hold rule is the more recently approved guidance, so it should take precedence.
Looking closer though, the punches at 33.10 and 40.90 sit dangerously close to other elements entering at 33.2 and 41.5 — that's a real problem since punching during an element's entry is explicitly disallowed. I'm considering locking the zoom across the whole overlay span instead, but that would mean 22.5 seconds at a single zoom level, which defeats the purpose of punches in the first place. As a compromise, I'm thinking about shortening the overlay's coverage window instead.
Maybe I should split the overlay into two shorter slots with a gap between them, adjusting punch timing so they don't collide with element entries — since I control both the overlay cues and the punch points, I can design the overlay first and then slot punches into the quiet moments between them. Stepping back, I realize this is turning into a substantial rework: I'll need a new S-curve grade requiring re-extraction of all 26 segments, plus re-rendering the band position and font sizes across four slots.
Beyond that, I'll need to author and render 3-4
[…]
Quatro mudanças. Vou começar medindo os altos — inclusive por canal, porque num set com LED verde saturado o "estouro" costuma ser um canal específico railando, não a luma.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\np=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"edit/final.mp4\",\"-vf\",\"fps=1/5,scale=270:480\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"rgb24\",\"-\"],capture_output=True,check=True)\na=np.frombuffer(p.stdout,dtype=np.uint8)\nn=a.size//(270*480*3); a=a[:n*270*480*3].reshape(n,480,270,3).astype(np.float32)\nR,G,B=a[...,0].ravel(),a[...,1].ravel(),a[...,2].ravel()\nY=0.299*R+0.587*G+0.114*B\nprint(f\"{n} frames\\n\")\nprint(f\"{'':>6} {'p50':>7} {'p90':>7} {'p99':>7} {'p99.9':>7} {'max':>5} {'>=250':>7} {'>=254':>7}\")\nfor lbl,c in [(\"R\",R),(\"G\",G),(\"B\",B),(\"luma\",Y)]:\n print(f\"{lbl:>6} {np.percentile(c,50):7.1f} {np.percentile(c,90):7.1f} \"\n f\"{np.percentile(c,99):7.1f} {np.percentile(c,99.9):7.1f} {c.max():5.0f} \"\n f\"{100*(c>=250).mean():6.3f}% {100*(c>=254).mean():6.3f}%\")\nprint(\"\\npixels com PELO MENOS UM canal railado (>=254):\")\nclip=((a>=254).any(-1)).ravel()\nprint(f\" {100*clip.mean():.3f}% do quadro\")\nfor i,lbl in enumerate(\"RGB\"):\n print(f\" so {lbl} railado: {100*((a[...,i]>=254)&((a>=254).sum(-1)==1)).mean():.3f}%\")\nprint(\"\\ndistribuicao do topo da luma:\")\nfor t in [180,200,215,230,240,250]:\n print(f\" >= {t:3d}: {100*(Y>=t).mean():6.3f}%\")\nPY",
"description": "Measure highlight distribution per channel",
"timeout": 600000
}30 frames
p50 p90 p99 p99.9 max >=250 >=254
R 124.0 173.0 198.0 252.0 255 0.251% 0.057%
G 123.0 165.0 210.0 250.0 255 0.213% 0.016%
B 72.0 155.0 174.0 237.0 255 0.004% 0.002%
luma 117.4 163.7 178.8 248.8 255 0.018% 0.002%
pixels com PELO MENOS UM canal railado (>=254):
0.063% do quadro
so R railado: 0.046%
so G railado: 0.006%
so B railado: 0.000%
distribuicao do topo da luma:
>= 180: 0.864%
>= 200: 0.346%
>= 215: 0.294%
>= 230: 0.245%
>= 240: 0.212%
>= 250: 0.018%raciocínio interno
Actual hard clipping is minimal, only 0.063% of the frame has a railed channel, mostly red. The truly bright zone above luma 200 is just 0.346%, while p90 and p99 luma sit around 164-179, showing the normal bright areas like ceiling and shirt stay well below full clipping.
What reads as "estourado" is really the lamp and ceiling hotspots — that small blob above 200 plus the flat bright ceiling area lacking detail. I want a shoulder curve that compresses roughly 0.70-1.0 to tame those blobs without greying the whole image, since the user wants recovery of blown highlights, not desaturation. I'm designing an S-curve with a deeper toe to crush shadows slightly, near-identity through midtones to preserve contrast around p50, and a gentle shoulder starting around 0.65 that compresses the top so 1.0 maps to about 0.90 — this barely touches the ceiling tones while meaningfully pulling down the blown highlight blobs.
Since the user now wants a proper S-curve but previously asked not to darken midtones, I'm keeping p50 anchored while adding a slight lift in the upper-mids for contrast, then easing into the shoulder compression toward a recessed white point around 0.92.
Checking the shape: pulling pure white down to roughly 234/255 tames specular highlights in a film-like way without affecting the ceiling tones, which sit near identity in the mid-upper range. I'm verifying the spline stays monotonic across all the anchor points before finalizing.
I'll keep the color channel mixer for the blue pull, applying it before the curves, then run a test to measure the actual percentile shifts and check a few frames to confirm the graded look holds up.
Diagnóstico útil: o clipping duro é mínimo — 0,063% do quadro tem canal railado (o vermelho é o pior, 0,046%). O que lê como estourado é a população brilhante entre luma 200 e 255 (0,35% do quadro: as luminárias e o abajur), mais o teto grande e chapado em 164–178.
Então o ombro precisa comprimir de ~0,72 para cima, sem tocar no teto. Vou desenhar e medir.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\nMIX=\"colorchannelmixer=rr=1.000:gg=0.997:bb=0.945\"\nS=\"curves=master='0/0 0.06/0 0.16/0.125 0.30/0.283 0.46/0.463 0.60/0.612 0.72/0.723 0.85/0.828 1/0.918'\"\ndef sample(vf):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"edit/base.mp4\",\"-vf\",vf,\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.uint8).astype(np.float32)\n# base.mp4 ja tem o grade da sessao 2 aplicado; para comparar preciso do CRU.\n# Extraio direto da fonte, so com o mix de cor, e depois com cada curva.\ndef from_src(extra=\"\"):\n vf=f\"fps=1/5,crop=1080:1920:0:0,scale=270:480,{MIX}\"+(\",\"+extra if extra else \"\")\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"video1.mp4\",\"-vf\",vf,\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.uint8).astype(np.float32)\nOLD=\"curves=master='0/0 0.055/0 0.16/0.135 0.30/0.288 0.46/0.46 0.70/0.70 0.85/0.85 1/1'\"\nraw=from_src(); old=from_src(OLD); new=from_src(S)\nprint(f\"{'percentil':>10} {'cru':>7} {'v2 (atual)':>11} {'S-curve':>9} {'S vs cru':>9}\")\nfor q,lbl in [(1,\"p1\"),(2,\"p2\"),(5,\"p5\"),(10,\"p10\"),(30,\"p30\"),(50,\"p50\"),\n (70,\"p70\"),(90,\"p90\"),(99,\"p99\"),(99.9,\"p99.9\")]:\n a,b,c=[np.percentile(x,q) for x in (raw,old,new)]\n print(f\"{lbl:>10} {a:7.1f} {b:11.1f} {c:9.1f} {(c-a)/max(a,1)*100:+8.1f}%\")\nfor lbl,x in [(\"cru\",raw),(\"v2\",old),(\"S-curve\",new)]:\n print(f\"\\n{lbl:>8}: preto absoluto {100*(x==0).mean():5.2f}% | >=240 {100*(x>=240).mean():6.3f}% \"\n f\"| max {x.max():3.0f} | media {x.mean():5.1f}\")\nPY",
"description": "Test the S-curve against current grade",
"timeout": 900000
} percentil cru v2 (atual) S-curve S vs cru
p1 15.0 0.0 0.0 -100.0%
p2 18.0 3.0 2.0 -88.9%
p5 26.0 12.0 10.0 -61.5%
p10 43.0 38.0 36.0 -16.3%
p30 83.0 80.0 80.0 -3.6%
p50 119.0 119.0 120.0 +0.8%
p70 141.0 141.0 143.0 +1.4%
p90 166.0 166.0 167.0 +0.6%
p99 184.0 184.0 185.0 +0.5%
p99.9 251.0 251.0 231.0 -8.0%
cru: preto absoluto 0.00% | >=240 0.344% | max 253 | media 110.2
v2: preto absoluto 1.07% | >=240 0.344% | max 253 | media 108.0
S-curve: preto absoluto 1.37% | >=240 0.000% | max 232 | media 108.3raciocínio interno
The S-curve delivers exactly what was needed: blacks deepen slightly, highlights get fully tamed with clipping eliminated and max value dropping from 253 to 232, and midtones get a gentle lift while the overall mean stays essentially unchanged.
Before committing, I want to check this visually — I'll render comparison frames between v2 and the S-curve version, particularly one around frame 40 where the lamp fixture is visible, to confirm nothing looks off.
A S-curve entrega os dois lados: preto absoluto 1,07% → 1,37%, e o topo >= 240 cai de 0,344% para 0,000% (máximo 253 → 232). Os médios sobem só 0,8–1,4% — é o contraste do S, bem contido. Vou olhar num frame com as luminárias.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess\nMIX=\"colorchannelmixer=rr=1.000:gg=0.997:bb=0.945\"\nOLD=MIX+\",curves=master='0/0 0.055/0 0.16/0.135 0.30/0.288 0.46/0.46 0.70/0.70 0.85/0.85 1/1'\"\nNEW=MIX+\",curves=master='0/0 0.06/0 0.16/0.125 0.30/0.283 0.46/0.463 0.60/0.612 0.72/0.723 0.85/0.828 1/0.918'\"\nfor t in [8,40]:\n for tag,vf in [(\"a\",OLD),(\"b\",NEW)]:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"video1.mp4\",\"-frames:v\",\"1\",\n \"-vf\",f\"{vf},scale=330:-1\",f\"/tmp/s_{tag}{t}.jpg\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"/tmp/s_a8.jpg\",\"-i\",\"/tmp/s_b8.jpg\",\n \"-i\",\"/tmp/s_a40.jpg\",\"-i\",\"/tmp/s_b40.jpg\",\"-filter_complex\",\n \"[0][1][2][3]hstack=4\",\"edit/verify/scurve.jpg\",\"-y\"],check=True)\nprint(\"1-2: v2 vs S-curve (frame 8s) | 3-4: v2 vs S-curve (frame 40s, com abajur)\")\nPY",
"description": "Visual comparison of S-curve vs current grade",
"timeout": 300000
}1-2: v2 vs S-curve (frame 8s) | 3-4: v2 vs S-curve (frame 40s, com abajur)Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/scurve.jpg"
}[imagem]raciocínio interno
Comparing the S-curve versions against the originals, the lamp shade retains more tonal detail instead of blowing out to flat white, the sofa blacks are deeper, and skin tones look natural with slightly more contrast — I'll commit to the S-curve. Now I'm working out the overlay positioning, calculating a new band position shifted down 12% of the frame height from the current top/height values.
I'm reconsidering whether "12%" should apply to frame height as the precedent suggests, and deciding to go with that interpretation explicitly since it matches the earlier profile batch. The new band will need extra height to accommodate the larger fonts, which means the cards will overlap the head starting partway down — a tradeoff I need to flag, consistent with what happened in the Perguntas batch.
For the font sizing, I'm calculating +20-30% increases across each slot's text elements (items, headers, names, roles, year chips, deal text, and numbers) while leaving the title slot untouched as requested.
Now I'm checking whether the longer text strings still fit within each card's width at the new larger font sizes, estimating character widths against the 952px container for slots 2 through 5, and they all seem to fit, some more comfortably than others. I'm also recalculating the total height needed for slot_2 with the bigger header pill and three stacked items to see how much the band needs to grow.
Verifying the remaining slots' heights confirms the 330px band works with room to spare before the subtitle zone. Now I'm shifting to mapping out the remaining timeline gaps to figure out where additional overlays could go, working back in source time to reason about coverage more easily.
Looking at the existing slots' source spans, I can see the kept material covers several ranges, and there's a massive 34.6-second gap between slots 1 and 2 that stands out as the biggest opportunity, along with smaller gaps of 4.6s, 13.3s, and roughly 12s elsewhere.
I'm now mapping out a new slot covering the scale of the old operation, pulling from source around 15.40-24.80 seconds, with two distinct states: one describing dozens of messengers running all day, then a transformation moment when the card arrives.
I'm checking that the slot boundary doesn't cross the cut at 24.885/25.472, and it lands cleanly before it. I'm also noticing the zoom punch at 21.32 coincides with the overlay state change, which violates the rule against punching during an element entry, so I need to shift the state change slightly later to around source 22.0.
Now I'm timing the card entry against the spoken words — placing the state change on "sistema" at 22.40 so the card completes as "Galileu" finishes at 23.68. For slot_6 spanning 15.40 to 24.80, I'm working out when the card should enter and when the number should land, trying to sync the entry around 17.1 and the number cue around 18.3 to match "havia algumas dezenas de mensageiros."
I'm adjusting the slot start to 16.90 to avoid dead space, landing cues at "havia" for card entry, "dezenas" for the number, "sistema" for the state change, and a dissolve shortly after. Then I'm moving on to slot_7, covering the flow of a sale from 27.60 to 46.80 seconds, describing the operational steps.
Actually, five rows is too tall and would cover too much of the screen. A more elegant approach: use a single pill that changes content, cycling through "1 · cliente liga na agência" → "2 · agente liga na companhia" → "3 · espera confirmação" → "4 · mensageiro busca o bilhete" → "5 · mensageiro entrega" — one compact row updated dynamically instead of stacking steps.
I'm designing this as a stepper: a pill with a number chip and label that cross-fades between steps, plus a row of progress dots, keeping total height around 120px. Now I need to make sure the zoom punches at 33.10 and 40.90 don't collide with the step transitions — I could lock the zoom level for that whole segment, but that's 22.5 seconds static, so instead I'll place the punches in the gaps between step transitions with at least 0.6s clearance, since I control both timelines.
For the next segment covering "quem entendeu vs quem ficou," I'm thinking of a two-state opposition design with green and red pills for ok/fail — though the style profile treats color as a single accent per video rather than a status palette, so I'm weighing whether using green/red here breaks that parsimony rule or counts as an acceptable one-time semantic exception.
Simplifying to two outcome pills instead: one at src 116.5 for "Quem entendeu" with "operou em outro patamar" in champagne, and one at src 121.8 for "Quem ficou do jeito antigo" with "desapareceu" dimmed, ending around 127.5 with a dissolve. I'm thinking stacked pills with a divider would read cleaner, and checking the height math confirms two two-line pills fit comfortably.
For slot_9, spanning src 129.5 to 142.0, I land on the real thesis line: "Cada geração tem o seu mensageiro. Em 92, o mensageiro era de bicicleta. Em 2026, o mensageiro é digital." This is the core idea I'd deliberately left bare in the first session so the zoom climax could carry it alone, but now the user wants overlays here too, and this is clearly the strongest spot for one. I'm considering a then/now pair — 1992 bicycle messenger versus 2026 digital messenger, with champagne styling on the 2026 side — but I'm wary since this coincides with the tightest zoom crop where the band sits 230px lower, meaning a card here risks covering his face.
Recalculating the geometry at z=1.32 with the adjusted Y_BIAS, the top of his head lands around y=340, and with the band starting at 274, a 200px card would span down to 474 — covering his forehead and hair significantly. That's the direct cost of moving the band down 12% as requested, and I need to flag it clearly rather than hide the tradeoff. Covering his face during the emotional climax feels worse than covering hair elsewhere, so I'm now weighing whether to leave this part
[…]
A S-curve resolveu os dois lados — dá para ver o abajur recuperando gradação em vez de virar um bloco branco. Vou fixá-la e partir para os overlays.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\np=\"edit/edl.json\"; d=json.load(open(p))\nd[\"grade\"]=(\"colorchannelmixer=rr=1.000:gg=0.997:bb=0.945,\"\n \"curves=master='0/0 0.06/0 0.16/0.125 0.30/0.283 0.46/0.463 \"\n \"0.60/0.612 0.72/0.723 0.85/0.828 1/0.918'\")\nd[\"grade_nota\"]=(\"S-curve: toe (preto em 0.06 + crush), meio levemente mais \"\n \"contrastado (+0.8 a +1.4%), ombro comprimindo de 0.72 pra cima. \"\n \"Medido: preto absoluto 1.07->1.37%, luma >=240 de 0.344% -> 0.000%, \"\n \"max 253->232, media 108.0->108.3 (nao escurece).\")\njson.dump(d,open(p,\"w\"),indent=2,ensure_ascii=False)\nprint(\"S-curve fixada\")\nPY\n~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\nW=[x for x in json.load(open('edit/transcripts/video1.json'))['words'] if x.get('type')=='word']\nfor a,b,l in [(16.9,25.0,\"slot_6 escala+virada\"),(27.5,47.0,\"slot_7 fluxo\"),\n (69.5,80.0,\"slot_8 o que era o Galileu\"),(92.5,103.0,\"slot_9 mouse no chao\"),\n (114.5,129.0,\"slot_10 quem entendeu x quem ficou\"),(129.0,142.5,\"slot_11 tese\"),\n (159.5,170.0,\"slot_12 assinatura\"),(196.5,206.0,\"slot_13 provocacao\")]:\n print(f\"--- {l} ---\")\n print(\" \"+\" \".join(f\"{x['text']}[{x['start']:.2f}]\" for x in W if a<=x['start']<b))\nPY",
"description": "Fix S-curve and dump word times for new slots"
}S-curve fixada
--- slot_6 escala+virada ---
havia[17.06] algumas[17.64] dezenas[18.34] de[19.00] mensageiros[19.12] rodando[19.74] o[20.28] dia[20.46] inteiro.[20.70] Aí[21.32] chegou[22.00] um[22.28] sistema[22.40] chamado[22.88] Galileu.[23.68]
--- slot_7 fluxo ---
o[27.92] cliente[28.00] ligava[28.28] na[28.80] agência[28.88] de[29.22] viagens[29.32] pedindo[29.76] uma[30.22] passagem.[30.44] O[31.14] agente[31.22] então[31.54] ligava[31.76] na[32.08] companhia[32.20] aérea[32.64] por[33.12] telefone,[33.28] fazia[33.94] a[34.41] reserva,[34.44] esperava[35.18] a[35.68] confirmação,[35.72] mandava[36.68] o[37.26] mensageiro[37.34] pegar[37.94] o[38.22] bilhete[38.32] físico[38.74] no[39.12] escritório[39.24] da[39.68] companhia[39.80] aérea,[40.24] o[40.82] mensageiro[40.90] voltava[41.42] de[42.20] bicicleta,[42.30] o[42.94] agente[43.00] ligava[43.30] pro[43.98] cliente,[44.18] mandava[44.62] outro[45.16] mensageiro[45.50] entregar[46.10] o[46.48] bilhete[46.56] na[46.94]
--- slot_8 o que era o Galileu ---
isso[69.56] é[69.70] um[69.76] tema[69.90] pra[70.16] um[70.30] outro[70.50] vídeo,[70.86] foi[71.58] contratada[71.78] pra[72.50] implementar[72.62] o[73.18] sistema[73.28] Galileu[73.70] no[74.26] Brasil.[74.38] Era[75.08] um[75.20] sistema[75.32] computadorizado[75.80] de[76.90] reservas[77.02] globais.[77.86] A[78.62] proposta[78.72] dela[79.22] pras[79.60] agências[79.84]
--- slot_9 mouse no chao ---
Em[92.82] alguns[92.92] escritórios,[93.16] ela[93.70] conta,[93.88] tinha[94.52] gente[94.76] que[95.00] colocava[95.14] o[95.76] mouse[95.94] no[96.60] chão[96.86] pra[97.24] acionar[97.38] com[97.88] o[97.97] pé,[98.10] como[98.28] se[98.46] fosse[98.64] uma[98.66] máquina[98.78] de[99.08] costura.[99.20] Eles[99.96] não[100.22] sabiam[100.44] sequer[101.08] o[101.44] que[101.58] era[101.82] aquilo.[102.48]
--- slot_10 quem entendeu x quem ficou ---
Galileu[114.54] não[115.06] era[115.38] inimigo,[115.60] era,[116.40] na[116.60] verdade,[116.72] uma[117.32] extensão[117.60] da[118.48] agência,[118.66] começou[119.22] a[119.72] operar[119.82] em[120.42] outro[120.62] patamar.[120.94] Quem[121.78] ficou[121.94] do[122.34] jeito[122.50] antigo,[122.74] mandando[123.44] mensageiro[123.78] de[124.26] bicicleta,[124.36] simplesmente[125.10] desapareceu.[125.80] Ou[126.76] você[126.86] conhece[127.06] alguma[127.34] agência[127.58] que[127.90] trabalhe[127.98] assim[128.36] ainda?[128.66]
--- slot_11 tese ---
Cada[129.50] geração[129.82] tem[130.58] o[130.90] seu[131.08] mensageiro.[131.28] Em[132.10] 92,[132.36] o[132.96] mensageiro[133.04] era[133.68] de[133.80] bicicleta.[133.88] Em[134.58] 2026,[135.02] o[135.88] mensageiro[135.96] é[136.82] digital.[136.90] É[138.28] o[138.36] agente[138.42] que[139.22] ainda[139.64] só[140.20] aperta[140.36] botão[140.86] pelo[141.58] cliente.[141.82]
--- slot_12 assinatura ---
Eu[159.50] sou[159.62] Rafael[159.76] Santos,[160.14] idealizador[160.78] do[161.58] Agente[161.70] Empreendedor[162.10] e[162.98] aqui[163.04] eu[163.20] mostro[163.34] o[163.70] que[163.78] acontece[163.90] quando[164.48] o[164.72] cliente[164.84] certo[165.32] encontra[165.96] o[166.68] agente[166.76] certo.[167.32] Já[168.00] me[168.14] segue[168.28] para[168.60] ver[168.80] o[168.94] próximo.[169.06]
--- slot_13 provocacao ---
o[196.66] que[196.78] você[196.86] acha[197.08] que[197.30] é[197.44] o[197.52] Galileu[197.60] de[198.00] 2026.[198.26] Se[199.22] ele[199.32] batesse[199.44] na[199.82] sua[…raciocínio interno
I'm reviewing the timing and zoom scale values for each punch segment to figure out where adjustments are needed so they don't overlap with overlay element entries.
Now I'm checking slot_6 and slot_7 for collisions between punch timings and overlay cue points, verifying clearance margins around number and state transitions, and mapping stepper step transitions to their target timestamps.
That clearance checks out, giving 1.9s and 2.18s margins, so B2 runs 33.10-39.24 and B3 39.24-47.98. Now I'm checking slot_8 (70.20-79.20) with elements around 70.3, 73.28, 75.32, and 77.02/77.86 — the punch at 74.20 feels too tight against 73.28, so I'm nudging it to 74.70 to improve clearance.
That works. So slot_8 runs 70.20 to 78.40, dissolving at 77.95, with the subtitle entering at 75.80 and holding before the fade.
Now checking slot_9 (93.60-102.60): elements land at 93.70, 95.94, and 98.78, with punches at 92.82 and 99.96 — the 99.96 punch clears the 98.78 element by 1.18s, which works fine.
Moving to slot_10 (115.50-128.20): elements at 115.60, 117.60, 121.78, and 125.80, with a punch at 120.94 giving only 0.84s clearance against the 121.78 element — tight but workable. I'm considering shifting that punch to 120.20 for better clearance, though that lands mid-word.
For slot_11 (130.00-141.60): elements at 130.0, 132.10, 134.58, and 138.28, with punches at 129.50 and 134.58 — but the 134.58 punch lands exactly on the "2026" element entry, which needs resolving.
I'll delay the 2026 state to land at 135.88 instead, giving 1.3s clearance from the punch, and let the card completion align nicely with "digital" at 136.90.
Moving to slot_12: the punch at 164.84 clears both nearby elements by over 3 seconds, so that one's fine as-is.
For slot_13, the punch at 200.72 collides directly with an element, so I need to shift it back to 199.22, which gives 1.62s clearance on one side — now checking the other side's timing.
Actually, simplifying slot_13 to a single persistent card ("Qual é o seu Galileu de 2026?") entering at 197.60 and holding through the punch solves the collision entirely, since the punch now falls during a hold rather than a transition. That means the zoom ladder only needs the B2/B3 boundary adjustment from 40.90 to 39.24, and I'm checking whether C1/C2 needs a similar shift.
Updating the C1/C2 boundary to 119.72 and slot_11's 2026 state timing to 135.60, then moving on to define the new geometry constants — band position, height, and card dimensions — along with a 25% font scale increase across the slots to accommodate the bigger layout.
I'll build a generator script with a shared CSS header module and per-slot specs for body HTML and timeline JS, producing all 12 standalone index.html files. I'm weighing whether to merge overlays into a single composite track to save memory, but I'll start with the batch approach and iterate on each slot's animation timeline carefully.
Antes de escrever, ajustei três pontos de punch que colidiriam com a entrada de elementos dos novos overlays (o pior: o punch do clímax caía exatamente na entrada do card "2026"). Agora vou gerar os 12 slots a partir de um gerador comum — assim a receita de vidro e a geometria da banda ficam num lugar só.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/gen_slots.py",
"content": "\"\"\"Gera os index.html de todos os slots a partir de uma receita comum.\n\nCada arquivo gerado e AUTONOMO (nada e importado em tempo de render) — o\ngerador existe so para a receita de vidro e a geometria da banda viverem num\nlugar so, em vez de replicadas em 12 arquivos.\n\n ~/Developer/video-use/.venv/bin/python edit/animations/gen_slots.py\n\"\"\"\nfrom pathlib import Path\n\nHERE = Path(__file__).resolve().parent\n\n# ---------------------------------------------------------------- geometria\n# Sessao 3: o usuario pediu os overlays 12% mais baixos. Mesmo pedido, mesmo\n# numero do lote `Perguntas/` do perfil do HD: 12% da ALTURA DO QUADRO.\n# BAND_TOP = 44 + round(0.12 * 1920) = 274\n# Consequencia assumida (igual la): o topo da cabeca fica em ~317-340px na\n# saida, entao os cards passam a cobrir o cabelo. Nao \"conserte\" subindo.\nBAND_TOP = 274\nBAND_H = 340 # cresceu de 246: as fontes subiram ~25%\nLEFT = 64\n\n# Guarda dura que continua valendo: nunca entrar na zona da legenda.\nSUB_ZONE_Y = 1700\nassert BAND_TOP + BAND_H < SUB_ZONE_Y\n\nGLASS = \"\"\"\n /* Vidro — receita fixa do perfil (CLAUDE.md §4.2). O desfoque NAO vem\n daqui: `backdrop-filter` nao tem o que borrar num render em alpha.\n Quem fosca e o composite no ffmpeg, usando este alpha como mascara. */\n .glass {\n background-color: rgba(16, 16, 18, 0.54);\n background-image: linear-gradient(157deg,\n rgba(255,255,255,0.155) 0%, rgba(255,255,255,0.055) 38%,\n rgba(255,255,255,0.012) 63%, rgba(255,255,255,0.080) 100%);\n border: 1.5px solid rgba(255,255,255,0.155);\n box-shadow:\n 0 26px 64px rgba(0,0,0,0.42), 0 2px 8px rgba(0,0,0,0.28),\n inset 0 1.5px 0 rgba(255,255,255,0.30), inset 0 -1.5px 0 rgba(255,255,255,0.055);\n }\n\"\"\"\n\nSVG_HELPER = \"\"\"\n const SVG = (d) =>\n '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.75\" ' +\n 'stroke-linecap=\"round\" stroke-linejoin=\"round\">' + d + '</svg>';\n\"\"\"\n\n\ndef page(slot_id, dur, css, body, script):\n return f\"\"\"<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * {{ …File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/gen_slots.py (file state is current in your context — no need to Read it back)Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/animations/gen_slots.py",
"description": "Generate all slot compositions"
} slot_1 dur=7.6s
slot_6 dur=7.9s
slot_7 dur=18.6s
slot_2 dur=8.2s
slot_3 dur=7s
slot_8 dur=8.2s
slot_4 dur=10.2s
slot_9 dur=9.0s
slot_5 dur=7.2s
slot_10 dur=12.7s
slot_11 dur=11.6s
slot_13 dur=7.0s
slot_12 dur=9.2s
13 slots gerados · banda top 274px altura 340pxraciocínio interno
With 13 slots generated, I'm now mapping each overlay to its source timestamp and duration so I can update the EDL along with the two punch adjustments.
I'm double-checking that the output ordering correctly handles provocação coming before assinatura despite their source order, then verifying each slot's duration fits within its containing segment boundaries — confirming slots 6, 7, and 8 all end safely before their segment limits, and continuing that same check for slot 9.
Now I'm rechecking punch/element collisions with the updated punch positions, verifying each punch falls at least roughly 2 seconds from nearby steps or elements across slot_7, slot_10, and slot_11.
Continuing the collision check, slot_9 and slot_12 look fine, but slot_13 has a real problem: the #qs element entering at src 200.72 lands exactly on the punch at 200.72. I need to shift #qs earlier to around 2.40 to clear the collision.
Moving #qs to 4.20 (src 201.80) instead gives a cleaner 1.08s gap after the punch and fits the surrounding narrative about accepting or rejecting the innovation. I'll update gen_slots.py for slot_13, regenerate, update the EDL, and rerun the checks.
13 slots gerados. Um ajuste: no slot_13 o subtítulo entrava exatamente no punch de 200,72s. Vou deslocá-lo e atualizar o EDL com os novos overlays e os dois punches remanejados.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/animations/gen_slots.py\"; s=open(p).read()\ns=s.replace(''' { opacity: 1, y: 0, duration: 0.46, ease: \"power3.out\" }, 3.12);''',\n ''' { opacity: 1, y: 0, duration: 0.46, ease: \"power3.out\" }, 4.20);''')\ns=s.replace(\"# A provocacao. ancora 197.60 | 0.10 pergunta · 6.30 sai\",\n \"# A provocacao. ancora 197.60 | 0.10 pergunta · 4.20 remate · 6.30 sai\\n\"\n \"# 4.20 = src 201.80. Nao pode ser 3.12 (src 200.72): ali cai o punch D1->D2.\")\nopen(p,\"w\").write(s)\nPY\n~/Developer/video-use/.venv/bin/python edit/animations/gen_slots.py >/dev/null && echo \"slots regerados\"\n~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\np=\"edit/edl.json\"; d=json.load(open(p))\n# dois punches remanejados para nao colidir com entrada de elemento\nmoved=0\nfor r in d[\"ranges\"]:\n if abs(r[\"end\"]-40.90)<1e-6: r[\"end\"]=39.24; moved+=1\n if abs(r[\"start\"]-40.90)<1e-6: r[\"start\"]=39.24; moved+=1\n if abs(r[\"end\"]-120.94)<1e-6: r[\"end\"]=119.72; moved+=1\n if abs(r[\"start\"]-120.94)<1e-6: r[\"start\"]=119.72; moved+=1\nd[\"overlays\"]=[\n {\"file\":\"animations/slot_1/render.mov\", \"source_anchor\": 7.00,\"duration\": 7.6,\"nota\":\"titulo\"},\n {\"file\":\"animations/slot_6/render.mov\", \"source_anchor\": 16.90,\"duration\": 7.9,\"nota\":\"escala + virada Galileu\"},\n {\"file\":\"animations/slot_7/render.mov\", \"source_anchor\": 28.00,\"duration\":18.6,\"nota\":\"stepper: o fluxo de uma venda\"},\n {\"file\":\"animations/slot_2/render.mov\", \"source_anchor\": 49.23,\"duration\": 8.2,\"nota\":\"custo de uma venda\"},\n {\"file\":\"animations/slot_3/render.mov\", \"source_anchor\": 62.06,\"duration\": 7.0,\"nota\":\"1992 Rodenburg\"},\n {\"file\":\"animations/slot_8/render.mov\", \"source_anchor\": 70.20,\"duration\": 8.2,\"nota\":\"o que era o Galileu\"},\n {\"file\":\"animations/slot_4/render.mov\", \"source_anchor\": 82.36,\"duration\":10.2,\"nota\":\"a proposta\"},\n {\"file\":\"animations/slot_9/render.mov\", \"source_anchor\": 93.60,\"duration\": 9.0,\"nota\":\"o mouse no chao\"},\n {\"file\":\"animations/slot_5/render.mov\", \"source_anchor\":104.76,\"duration\": 7.2,\"nota\":\"payoff +400\"},\n {\"file\":\"animations/slot_10/render.mov\", \"source_anchor\":115.50,\"duration\":12.7,\"nota\":\"quem entendeu x quem ficou\"},\n {\"file\":\"animations/slot_11/render.mov\", \"source_anchor\":130.00…slots regerados
4 fronteiras de punch remanejadas · 13 overlays
cobertura de overlay: 124.4s de 164.4s de fonte = 76%raciocínio interno
I'm weighing memory constraints on the 8GB machine — running ffmpeg extraction alongside Chromium renders simultaneously seems risky, so I should sequence them rather than parallelize. Since extraction takes ~15 min versus ~6 min for all 13 slot renders combined, I'll start with the slot checks and renders first, then run the extraction afterward to avoid resource conflicts.
I'm also double-checking a minor detail: slot_11 has an unused body_unused key in its spec dict, but since page() only pulls the named keys it needs, this is harmless clutter rather than a bug. There's also a concern about slot_7's use of tl.call() — GSAP callbacks tied to timeline calls may not fire reliably during seek-based rendering since they typically only trigger when the playhead crosses them in the correct direction, which could cause issues for deterministic frame-by-frame rendering.
Since GSAP's seek() suppresses events by default, any tl.call() steps in slot_7 risk silently failing to fire, meaning the stepper text would never update during rendering. To make this seek-safe, I'm redesigning slot_7 to avoid callbacks entirely — stacking five step elements at the same position and cross-fading between them with pure opacity tweens, plus giving each of the five dot indicators its own independent tween instead of relying on classList changes.
Uma preocupação com o slot_7: usei tl.call() para trocar o texto do stepper, e o HyperFrames renderiza por seek — o seek() do GSAP suprime callbacks por padrão, então o texto poderia nunca mudar no render. Vou reescrever sem callbacks, com pílulas separadas em cross-fade (puro tween, seek-safe).
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport re\np=\"edit/animations/gen_slots.py\"; s=open(p).read()\nstart=s.index('SLOTS[\"slot_7\"]')\nend=s.index('# ------------------------------------------------------------------ slot_2')\nnovo = '''SLOTS[\"slot_7\"] = dict(dur=\"18.6\", css=CARD + \"\"\"\n #dots { position: absolute; left: 68px; top: 8px;\n display: flex; gap: 11px; opacity: 0; }\n .dot { width: 14px; height: 14px; border-radius: 999px;\n background: rgba(245,245,247,0.26); }\n .step { top: 46px; padding: 12px 34px 14px 20px; }\n .n { display: inline-flex; align-items: center; justify-content: center;\n width: 48px; height: 48px; border-radius: 999px; flex: none;\n border: 1.5px solid rgba(233,200,127,0.42);\n background: rgba(233,200,127,0.13); color: #e9c87f;\n font-size: 27px; font-weight: 700; }\n #head { position: absolute; left: 64px; top: -4px; opacity: 0;\n padding: 5px 22px 7px 22px; border-radius: 999px;\n color: rgba(245,245,247,0.72); font-size: 28px; font-weight: 600;\n white-space: nowrap; }\n\"\"\", body=\"\"\" <div id=\"head\" class=\"glass\">Uma única venda, passo a passo</div>\n <div id=\"dots\"></div>\n <div id=\"steps\"></div>\n\"\"\", script=\"\"\"\n // Cada passo e uma pilula PROPRIA, todas no mesmo top, em cross-fade.\n // Nada de tl.call() para trocar texto: o HyperFrames renderiza por seek e\n // o seek do GSAP suprime callbacks — o texto simplesmente nao mudaria.\n // So tween, que e seek-safe por construcao.\n const STEPS = [\n [\"cliente liga na agência\", 0.18],\n [\"agente liga na companhia aérea\", 3.22],\n [\"espera a confirmação\", 7.18],\n [\"mensageiro busca o bilhete\", 9.34],\n [\"mensageiro entrega na casa\", 13.42],\n ];\n const steps = document.getElementById(\"steps\");\n const dots = document.getElementById(\"dots\");\n const sEls = [], dEls = [];\n STEPS.forEach(([label], i) => {\n const el = document.createElement(\"div\");\n el.className = \"step pill glass\";\n el.innerHTML = '<span class=\"n\">' + (i + 1) + '</span><span>' + label + '</span>';\n steps.appendChild(el); sEls.push(el);\n const d = document.createElement(\"div\");\n d.className = \"dot\"; dots.appendChild(d); dE…slot_7 reescrito sem tl.call()
edit/animations/slot_7/index.html:1raciocínio interno
I'm wondering if there's still a leftover call in slot_7 that my replacement didn't fully remove, so I'll grep to check.
Bash
{
"command": "grep -n \"tl.call\" edit/animations/slot_7/index.html; grep -n \"SVG_HELPER\\|const SVG\" edit/animations/slot_7/index.html | head -3",
"description": "Locate remaining tl.call"
}87: // Nada de tl.call() para trocar texto: o HyperFrames renderiza por seek eraciocínio interno
Just a comment referencing tl.call(), no actual calls there. Good. Now I'll run checks across all 13 slots and then move on to rendering.
É só a menção no comentário — nenhuma chamada real. Vou validar os 13 slots.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations && for i in 1 2 3 4 5 6 7 8 9 10 11 12 13; do\n printf \"slot_%-3s \" $i\n (cd slot_$i && npx --yes hyperframes@0.7.102 check 2>&1 | grep -E \"error\\(s\\)|issues across|Check (passed|failed)\" | tr '\\n' ' ')\n echo \"\"\ndone",
"description": "Check all 13 slots",
"timeout": 2400000
}slot_1 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_2 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_3 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_4 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_5 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_6 0 error(s), 0 warning(s), 1 info(s) 0 error(s), 0 warning(s), 2 info(s) ◇ Check passed
slot_7 0 error(s), 0 warning(s), 1 info(s) 1 error(s), 5 warning(s), 4 info(s) ◇ Check failed
slot_8 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_9 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_10 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_11 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_12 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passed
slot_13 0 error(s), 0 warning(s), 1 info(s) ◇ 0 issues across 9 sample(s) ◇ Check passedBash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations/slot_7 && npx --yes hyperframes@0.7.102 check 2>&1 | sed -n '/^Layout/,/^Contrast/p' | head -40",
"description": "Get slot_7 layout error detail",
"timeout": 600000
}Layout
✗ t=15.5-17.57s (2 samples) text_occluded #head inside div.dot "Uma única venda, passo a passo" — Text is hidden beneath an opaque element.
Fix: Give the text its own zone, raise its stacking order above the covering element, or mark intentional layering with data-layout-allow-occlusion.
⚠ t=1.03-17.57s (9 samples) container_overflow #head inside #band overflowed top 4px — Element extends outside a clipping layout container.
Fix: Resize/reposition the child or container, or mark intentional overflow with data-layout-allow-overflow.
⚠ t=7.23-7.37s (3 samples) content_overlap div.step.pill > span:nth-of-type(2) inside div.step.pill > span:nth-of-type(2) "agente liga na companhia aérea" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
⚠ t=7.24-7.37s (2 samples) content_overlap span.n inside span.n "2" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
⚠ t=13.48-13.61s (2 samples) content_overlap span.n inside span.n "4" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
⚠ t=13.48-13.61s (2 samples) content_overlap div.step.pill > span:nth-of-type(2) inside div.step.pill > span:nth-of-type(2) "mensageiro busca o bilhete" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
ℹ t=3.37s content_overlap span.n inside span.n "1" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
ℹ t=3.37s content_overlap div.step.pill > span:nth-of-type(2) inside div.step.pill > span:nth-of-type(2) "cliente liga na agência" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
ℹ t=9.49s content_overlap span.n inside span.n "3" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
ℹ t=9.49s content_overlap div.step.pill > span:nth-of-type(2) inside div.step.pill > span:nth-of-type(2) "espera a confirmação" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
1 error(s), 5 warning(s), 4 info(s)
Motion
◇ 0 errors, 0 warnings
Contrastraciocínio interno
I found an error where the header text gets occluded by a dot element between t=15.5-17.57 — the #head and #dots elements overlap in their vertical positioning, and since dots come later in DOM order, they render on top of the header text. I need to adjust the positioning so they don't collide.
There's also a top overflow warning from the negative top offset on #head, which I can fix by setting it to 0. The third issue is an intentional cross-fade overlap between consecutive step pills, which is expected behavior — I should mark it with the overlap-allow data attribute so the linter treats it correctly rather than flagging it as a problem.
I'll set #head top to 0, #dots to 58, and .step to 100, checking that the total height still fits within the 340px band — it does, with room to spare. The crossfade itself reads fine visually since the pills swap positions as they fade, so I'll apply these fixes now.
Três achados no slot_7. O erro é real — o cabeçalho e os dots se sobrepunham e os dots cobriam o texto. Os avisos de content_overlap são o cross-fade intencional entre passos; vou marcá-los explicitamente em vez de deixá-los soltos.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/animations/gen_slots.py\"; s=open(p).read()\ns=s.replace(''' #dots { position: absolute; left: 68px; top: 8px;\n display: flex; gap: 11px; opacity: 0; }''',\n ''' #dots { position: absolute; left: 68px; top: 58px;\n display: flex; gap: 11px; opacity: 0; }''')\ns=s.replace(''' .step { top: 46px; padding: 12px 34px 14px 20px; }''',\n ''' .step { top: 100px; padding: 12px 34px 14px 20px; }''')\ns=s.replace(''' #head { position: absolute; left: 64px; top: -4px; opacity: 0;''',\n ''' #head { position: absolute; left: 64px; top: 0px; opacity: 0;''')\ns=s.replace(''' <div id=\"dots\"></div>\n <div id=\"steps\"></div>''',\n ''' <div id=\"dots\"></div>\n <!-- Os passos se cruzam por ~0.26s na troca: e cross-fade, nao bug. -->\n <div id=\"steps\" data-layout-allow-overlap></div>''')\nopen(p,\"w\").write(s)\nprint(\"ok\")\nPY\n~/Developer/video-use/.venv/bin/python edit/animations/gen_slots.py >/dev/null\nnpx --yes hyperframes@0.7.102 check 2>&1 | sed -n '/^Layout/,/^Motion/p' | head -14",
"description": "Fix slot_7 layout and recheck",
"timeout": 600000
}Traceback (most recent call last):
File "<stdin>", line 1, in <module>
FileNotFoundError: [Errno 2] No such file or directory: 'edit/animations/gen_slots.py'
[oculto]/Developer/video-use/.venv/bin/python: can't open file '[oculto]/Desktop/aula-edit/edit/animations/slot_7/edit/animations/gen_slots.py': [Errno 2] No such file or directory
Layout
✗ t=15.5-17.57s (2 samples) text_occluded #head inside div.dot "Uma única venda, passo a passo" — Text is hidden beneath an opaque element.
Fix: Give the text its own zone, raise its stacking order above the covering element, or mark intentional layering with data-layout-allow-occlusion.
⚠ t=1.03-17.57s (9 samples) container_overflow #head inside #band overflowed top 4px — Element extends outside a clipping layout container.
Fix: Resize/reposition the child or container, or mark intentional overflow with data-layout-allow-overflow.
⚠ t=7.23-7.37s (3 samples) content_overlap div.step.pill > span:nth-of-type(2) inside div.step.pill > span:nth-of-type(2) "agente liga na companhia aérea" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
⚠ t=7.24-7.37s (2 samples) content_overlap span.n inside span.n "2" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
⚠ t=13.48-13.61s (2 samples) content_overlap span.n inside span.n "4" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
⚠ t=13.48-13.61s (2 samples) content_overlap div.step.pill > span:nth-of-type(2) inside div.step.pill > span:nth-of-type(2) "mensageiro busca o bilhete" — Two text blocks overlap and may render unreadable.
Fix: Give each block its own zone, or mark intentional layering with data-layout-allow-overlap.
ℹ t=3.37s content_overlap span.n inside span.n "1" — Two text blocks overlap and may render unreadable.raciocínio interno
The working directory was still set to slot_7 from before, which is why those edits didn't take effect. I'll redo this using absolute paths instead.
O cwd ficou no slot_7. Refazendo com caminho absoluto.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit && ~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/animations/gen_slots.py\"; s=open(p).read()\ns=s.replace('#dots { position: absolute; left: 68px; top: 8px;','#dots { position: absolute; left: 68px; top: 58px;')\ns=s.replace('.step { top: 46px;','.step { top: 100px;')\ns=s.replace('#head { position: absolute; left: 64px; top: -4px; opacity: 0;','#head { position: absolute; left: 64px; top: 0px; opacity: 0;')\ns=s.replace(''' <div id=\"dots\"></div>\n <div id=\"steps\"></div>''',''' <div id=\"dots\"></div>\n <!-- Os passos se cruzam por ~0.26s na troca: e cross-fade, nao bug. -->\n <div id=\"steps\" data-layout-allow-overlap></div>''')\nopen(p,\"w\").write(s)\nprint(\"gen_slots.py atualizado\")\nPY\n~/Developer/video-use/.venv/bin/python [oculto]/Desktop/aula-edit/edit/animations/gen_slots.py >/dev/null\nnpx --yes hyperframes@0.7.102 check 2>&1 | sed -n '/^Layout/,/^Motion/p' | head -10",
"description": "Apply slot_7 fixes and recheck",
"timeout": 600000
}gen_slots.py atualizadoBash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations/slot_7 && grep -n \"top: 58px\\|top: 100px\\|allow-overlap\\|top: 0px\" index.html | head -5 && npx --yes hyperframes@0.7.102 check 2>&1 | sed -n '/^Layout/,/^Motion/p' | head -10",
"description": "Verify slot_7 fixes applied and recheck",
"timeout": 600000
}54: #dots { position: absolute; left: 68px; top: 58px;
58: .step { top: 100px; padding: 12px 34px 14px 20px; }
64: #head { position: absolute; left: 64px; top: 0px; opacity: 0;
78: <div id="steps" data-layout-allow-overlap></div>
Layout
◇ 0 issues across 9 sample(s)
Motionraciocínio interno
All 13 slots now pass, so I'll render them all sequentially in the background — roughly 7 minutes total given slot_7's longer 18.6s duration, with total disk usage around 500MB which is fine. After rendering, I'll extract the grade-change segments and composite everything together.
Todos os 13 slots passam. Renderizando (um por vez, 8 GB de RAM).
Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations && for i in 1 2 3 4 5 6 7 8 9 10 11 12 13; do\n printf \"slot_%-3s \" $i\n (cd slot_$i && npx --yes hyperframes@0.7.102 render . --format mov -o render.mov 2>&1 | tail -2 | tr '\\n' ' ')\n echo \"\"\ndone",
"description": "Render all 13 slots to transparent MOV",
"run_in_background": true
}Command running in background with ID: bo58ti9o0. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bo58ti9o0.output. You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains [oculto]/Desktop/aula-edit/edit/animations/slot_7; directory changes made by the backgrounded command do not apply to subsequent commands.Bash
{
"command": "cd [oculto]/Desktop/aula-edit && until ! ps aux | grep -q \"[h]yperframes\"; do sleep 20; done; sleep 3; cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bo58ti9o0.output",
"description": "Wait for all slot renders",
"timeout": 2400000
}slot_1 48.2 MB · 7.6s video · rendered in 18.7s [hyperframes] Agent feedback: hyperframes feedback --rating <0-10> --comment "..."
slot_2 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_2/render.mov 44.0 MB · 8.2s video · rendered in 21.4s
slot_3 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_3/render.mov 55.0 MB · 7.0s video · rendered in 19.8s
slot_4 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_4/render.mov 69.7 MB · 10.2s video · rendered in 23.4s
slot_5 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_5/render.mov 52.9 MB · 7.2s video · rendered in 19.8s
slot_6 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_6/render.mov 47.3 MB · 7.9s video · rendered in 18.0s
slot_7 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_7/render.mov 114.3 MB · 18.6s video · rendered in 29.3s
slot_8 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_8/render.mov 37.2 MB · 8.2s video · rendered in 16.5s
slot_9 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_9/render.mov 55.2 MB · 9.0s video · rendered in 20.9s
slot_10 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_10/render.mov 86.4 MB · 12.7s video · rendered in 29.0s
slot_11 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_11/render.mov 68.5 MB · 11.6s video · rendered in 23.1s
slot_12 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_12/render.mov 67.0 MB · 9.2s video · rendered in 23.4s
slot_13 ◇ [oculto]/Desktop/aula-edit/edit/animations/slot_13/render.mov 47.1 MB · 7.0s video · rendered in 17.8s
[exited with code 0]raciocínio interno
All 13 clips rendered, roughly 793MB of ProRes total. I need to verify the alpha channel on each before re-extracting segments with the new grade, and I'm wary of memory issues with 13 overlays in the composite — each tpad'ed to 149 seconds of yuva420p is a lot of simultaneous streams, so I should consider splitting the work into batches or building a merged overlay track instead.
Weighing the merged-track approach: a single 149s ProRes 4444 composite would land around 900MB, which is fine for disk but slow to encode, versus batching 4-5 overlays at a time across three passes, which risks quality loss from multiple encode generations at crf18. Since the overlays never overlap in time, I'm reconsidering whether I really need to pad each one to full length, and I'm running through the memory math for the blend chain — 13 overlays times two streams each at 1080×1920 yuva420p, with several frames buffered per link, adds up fast.
Totaling everything, the buffered streams plus the sequential overlay chain land somewhere between 600MB and 1GB, which should fit in 8GB of RAM even with other processes running, so I'll just try the full 13-overlay batch in one pass and fall back to batches of 5 if it fails. But first I need to re-extract the segments since the grade changed and the punch boundaries shifted too, which alters segment durations — so the full re-extract is unavoidable and clips_graded needs to be deleted before I start.
Todos com alpha? Vou conferir e já iniciar a re-extração (grade e dois punches mudaram, então é reextração completa).
Bash
{
"command": "bad=0; for i in 1 2 3 4 5 6 7 8 9 10 11 12 13; do\n pf=$(ffprobe -v error -select_streams v:0 -show_entries stream=pix_fmt -of csv=p=0 edit/animations/slot_$i/render.mov)\n case \"$pf\" in yuva*) ;; *) echo \"slot_$i SEM ALPHA: $pf\"; bad=1;; esac\ndone; [ $bad -eq 0 ] && echo \"13/13 com alpha real (yuva444p12le)\"\nrm -rf edit/clips_graded && echo \"clips_graded/ removido (grade S-curve + punches remanejados)\"",
"description": "Verify alpha on all slots and clear stale clips",
"timeout": 300000
}13/13 com alpha real (yuva444p12le)
clips_graded/ removido (grade S-curve + punches remanejados)Bash
{
"command": "~/Developer/video-use/.venv/bin/python edit/build.py -o edit/_tmp.mp4 --no-subtitles --no-overlays --no-loudnorm 2>&1 | tail -10",
"description": "Re-extract all segments with S-curve grade",
"run_in_background": true
}Command running in background with ID: bphxr98fk. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bphxr98fk.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "until [ -f edit/_tmp.mp4 ]; do sleep 20; done; sleep 2; tail -10 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bphxr98fk.output",
"description": "Wait for re-extraction with new grade",
"timeout": 2400000
} [02] 113.597-145.676 ( 32.08s)
[03] 195.372-212.255 ( 16.88s)
[04] 159.439-169.753 ( 10.31s)
video 149.483s audio 149.483s (delta +0 ms)
master.srt: 103 legendas
duracao real do base: 149.483s
pronto: [oculto]/Desktop/aula-edit/edit/_tmp.mp4 (224.7 MB) video 149.48s
[exited with code 0]raciocínio interno
The base rebuild finished at 149.483s with no delta. Before running the full 13-overlay composite, I want to spot-check slot_11 (which sits over the climax zoom) and slot_7 (the stepper) against the base first, to catch any visual issues like head-covering problems before committing to the longer render.
Base pronta (+0 ms). Antes do composite completo, um teste do stepper e da tese — este último é onde os cards mais cobrem o rosto, por causa da banda 12% mais baixa.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json, subprocess; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nedl=json.load(open(\"edit/edl.json\")); ranges=build.quantize(edl[\"ranges\"])\nclips=sorted(Path(\"edit/clips_graded\").glob(\"seg_*.mp4\"))\nreal=[build.seg_real_duration(c) for c in clips]\npos={}\nfor o in edl[\"overlays\"]:\n nm=Path(o[\"file\"]).parent.name\n pos[nm]=build.src_to_real_out(o[\"source_anchor\"],ranges,real)\n print(f\"{nm:>8}: fonte {o['source_anchor']:6.2f}s -> saida {pos[nm]:7.3f}s {o['nota']}\")\njson.dump(pos,open(\"/tmp/pos.json\",\"w\"))\nPY",
"description": "Compute all overlay output positions"
} slot_1: fonte 7.00s -> saida 0.558s titulo
slot_6: fonte 16.90s -> saida 9.558s escala + virada Galileu
slot_7: fonte 28.00s -> saida 19.115s stepper: o fluxo de uma venda
slot_2: fonte 49.23s -> saida 38.415s custo de uma venda
slot_3: fonte 62.06s -> saida 50.079s 1992 Rodenburg
slot_8: fonte 70.20s -> saida 57.479s o que era o Galileu
slot_4: fonte 82.36s -> saida 68.533s a proposta
slot_9: fonte 93.60s -> saida 78.751s o mouse no chao
slot_5: fonte 104.76s -> saida 88.897s payoff +400
slot_10: fonte 115.50s -> saida 97.326s quem entendeu x quem ficou
slot_11: fonte 130.00s -> saida 110.507s a tese 1992 -> 2026
slot_13: fonte 197.60s -> saida 126.784s a provocacao
slot_12: fonte 160.30s -> saida 140.889s assinatura + CTABash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, subprocess; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\n# slot_11 (tese, sobre o climax 1.32x) e slot_7 (stepper)\nfor slot,pos,peek in [(\"slot_11\",110.507,7.6),(\"slot_7\",19.115,9.5)]:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{pos-0.5:.3f}\",\"-t\",\"14\",\"-i\",\"edit/base.mp4\",\n \"-c:v\",\"libx264\",\"-crf\",\"22\",\"-preset\",\"veryfast\",\"-c:a\",\"aac\",\n f\"/tmp/_t_{slot}.mp4\",\"-y\"],check=True)\n build.build_final_composite_glass(Path(f\"/tmp/_t_{slot}.mp4\"),\n [{\"file\":f\"animations/{slot}/render.mov\",\"start_in_output\":0.5}],\n None, Path(f\"/tmp/_g_{slot}.mp4\"), Path(\"edit\"))\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(peek),\"-i\",f\"/tmp/_g_{slot}.mp4\",\n \"-frames:v\",\"1\",\"-vf\",\"scale=430:-1\",\n f\"edit/verify/new_{slot}.jpg\",\"-y\"],check=True)\n print(f\"{slot} ok\")\nPY",
"description": "Spot-check the tese and stepper slots",
"timeout": 900000
}compositing (frosted glass) → _g_slot_11.mp4 [1 overlays, sigma 40]
slot_11 ok
compositing (frosted glass) → _g_slot_7.mp4 [1 overlays, sigma 40]
slot_7 okRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/new_slot_11.jpg"
}[imagem]Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/new_slot_7.jpg"
}[imagem]raciocínio interno
Both slots look good now — the tese slot shows the dimmed 1992 line against the lit 2026 line in champagne with bigger fonts, clearing his hair nicely, and the stepper slot has a clean single-line header with dots and step pill that doesn't crowd the layout.
I'm double-checking the font sizes against the +20-30% request — looks like I landed around +25% on most, which reads well in the preview. There's a risk that in frames where he's positioned higher, the cards could overlap his hair since the head-top measurement varies across frames, but this matches the precedent and the user's explicit request, so I'll flag it and move forward rather than over-verify.
Now I'm ready to run the full composite with all 13 overlays in one pass.
Os dois ficaram certos — a tese com "2026" em champagne e o stepper com os dots de progresso, ambos com a fonte bem maior e livres da cabeça neste enquadramento.
Composite final com os 13 overlays.
Bash
{
"command": "rm -f edit/_tmp.mp4 /tmp/_t_slot*.mp4 /tmp/_g_slot*.mp4\n~/Developer/video-use/.venv/bin/python edit/composite.py --base edit/base.mp4 -o edit/final_v3.mp4 --batch 13 2>&1 | tail -22",
"description": "Composite all 13 overlays in one pass",
"run_in_background": true
}Command running in background with ID: be2uf08ha. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/be2uf08ha.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "until [ -f edit/final_v3.mp4 ] || ! ps aux | grep -q \"[c]omposite.py\"; do sleep 20; done; sleep 3; tail -22 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/be2uf08ha.output",
"description": "Wait for the 13-overlay composite",
"timeout": 3000000
}Command did not complete within its 600s timeout and was moved to the background (ID: bmt1rj4aw). Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bmt1rj4aw.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/be2uf08ha.output | tail -8; echo \"--- procs ---\"; ps aux | grep \"[f]fmpeg\" | awk '{print $3\"% cpu\", $4\"% mem\", $11}' | head -3; ls -la edit/final_v3* 2>/dev/null",
"description": "Check composite progress and memory use"
}--- procs ---
421.9% cpu 11.8% mem ffmpeg
-rw-r--r--@ 1 [oculto] staff 153616432 Aug 20 18:42 edit/final_v3.prenorm.mp4raciocínio interno
The composite is progressing fine, using about 11.8% memory which is well within limits. I'll set up a proper wait now and let it continue.
Um passe só está funcionando — 11,8% de memória (~950 MB), sem risco de SIGKILL. Aguardando.
Bash
{
"command": "until [ -f edit/final_v3.mp4 ]; do if ! ps aux | grep -q \"[c]omposite.py\"; then echo \"PROCESSO MORREU\"; break; fi; sleep 25; done; sleep 3; tail -12 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/be2uf08ha.output",
"description": "Wait for composite completion",
"run_in_background": true
}Command running in background with ID: bitiv8c9o. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bitiv8c9o.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bitiv8c9o.output 2>/dev/null | tail -14",
"description": "Check waiter output"
}(Bash completed with no output)raciocínio interno
While that's still running, I'll use the time to update project.md with session 3 documentation.
Enquanto renderiza, vou documentar a sessão.
Bash
{
"command": "cat >> edit/project.md <<'EOF'\n\n---\n\n## Sessão 3 — 2026-08-20 (mesmo dia)\n\nQuatro pedidos: **S-curve no grade**, **overlays 12% mais baixos**, **fonte\n+25% em tudo menos o título**, e **mais overlays** (\"passa muito tempo sem\noverlay na tela\"). Aceleração de 1,1× mantida.\n\n### Grade — de \"só toe\" para S-curve completa\n\n```\ncurves=master='0/0 0.06/0 0.16/0.125 0.30/0.283 0.46/0.463\n 0.60/0.612 0.72/0.723 0.85/0.828 1/0.918'\n```\n\n**Diagnóstico primeiro, curva depois.** Medi o topo por canal, não só a luma:\nclipping duro é só **0,063% do quadro** (o vermelho rala mais, 0,046%). O que\nlê como \"estourado\" é a população entre luma 200 e 255 — 0,35% do quadro, as\nluminárias e o abajur. Por isso o ombro comprime a partir de 0,72, e não antes:\no teto (p90–p99 = 164–178) fica praticamente intocado.\n\nMedido no ffmpeg real, contra o material cru:\n\n| | p2 | p5 | p10 | p30 | p50 | p70 | p90 | p99.9 |\n|---|---|---|---|---|---|---|---|---|\n| variação | −89% | −62% | −16% | −4% | +0,8% | +1,4% | +0,6% | **−8,0%** |\n\nPreto absoluto 0,00% → 1,37%. Luma ≥240: **0,344% → 0,000%**. Máximo 253 → 232.\nMédia 110,2 → 108,3 (não escurece). Os médios sobem 0,8–1,4% — é o contraste do\nS, deliberadamente contido.\n\n### Geometria — banda 12% mais baixa\n\n`BAND_TOP = 44 + round(0.12 * 1920) = 274`, altura 246 → **340** (as fontes\ncresceram). Mesmo número do lote `Perguntas/` do perfil do HD, que é literalmente\no mesmo pedido.\n\n> **Consequência assumida, não é bug:** o topo da cabeça fica em ~317–340 px na\n> saída, então em alguns enquadramentos os cards cobrem o cabelo. Foi decisão de\n> direção do usuário. **Não \"conserte\" subindo a banda.** A guarda dura que\n> continua valendo é a zona da legenda (`SUB_ZONE_Y = 1700`), e o gerador tem um\n> `assert` para ela.\n\n### Fontes +~25% — em tudo menos o título\n\nO título (slot_1) ficou como estava, a pedido explícito. Todo o resto subiu ~25%:\npílulas 34→43, nome 52→65, número do payoff 88→110, etc.\n\n### De 5 para 13 overlays — cobertura de 33% → 76%\n\nNovos: `slot_6` (escala + virada), `slot_7` (stepper do fluxo de uma venda),\n`slot_8` (o que era o Galileu), `slot_9` (o mouse no chão), `slot_10` (quem\nentendeu × quem ficou), `slot_11` (a tese 1992→2026), `slot_12` (assinatura +\nCTA), `slot_13` (a provocação).\n\n**Os slots agora são gerados** por `animations/gen_slots.py` — a receita de vidro\ne a geometria da banda vivem num lugar só, em vez de replicadas em…project.md: 259 linhas
-rw-r--r--@ 1 [oculto] staff 163577904 Aug 20 18:42 edit/final_v3.prenorm.mp4Bash
{
"command": "tail -14 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/be2uf08ha.output; echo \"---\"; ls -la edit/final_v3* 2>/dev/null; ps aux | grep -c \"[f]fmpeg\"",
"description": "Check composite status"
}---
-rw-r--r--@ 1 [oculto] staff 165412912 Aug 20 18:42 edit/final_v3.prenorm.mp4
1raciocínio interno
I'll keep waiting for the background process to finish and poll again with a longer timeout.
Bash
{
"command": "until [ -f edit/final_v3.mp4 ] || ! ps aux | grep -q \"[c]omposite.py\"; do sleep 30; done; sleep 5; tail -14 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/be2uf08ha.output",
"description": "Wait for composite to finish",
"timeout": 3000000
} slot_11: fonte 130.00s -> saida 110.507s a tese 1992 -> 2026
slot_13: fonte 197.60s -> saida 126.784s a provocacao
slot_12: fonte 160.30s -> saida 140.889s assinatura + CTA
base 149.483s · 13 overlays · lote 13
compositing (frosted glass) → final_v3.prenorm.mp4 [13 overlays, sigma 40]
loudnorm -> -14 LUFS / -1 dBTP
loudnorm pass 1: measuring final_v3.prenorm.mp4
measured: I=-9.09 LUFS TP=0.75 LRA=2.40
loudnorm pass 2: normalizing → final_v3.mp4
pronto: [oculto]/Desktop/aula-edit/edit/final_v3.mp4 (175.9 MB)
video 149.45s · audio 149.48s · delta +33 ms
[exited with code 0]Composite pronto. Verificação final dos 13 overlays.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, json\npos=json.load(open(\"/tmp/pos.json\"))\n# um frame no meio de cada overlay\nPEEK={\"slot_1\":3.0,\"slot_6\":4.0,\"slot_7\":11.0,\"slot_2\":6.5,\"slot_3\":4.5,\"slot_8\":6.0,\n \"slot_4\":8.0,\"slot_9\":6.0,\"slot_5\":4.5,\"slot_10\":11.0,\"slot_11\":9.8,\n \"slot_13\":5.0,\"slot_12\":8.2}\nORDER=[\"slot_1\",\"slot_6\",\"slot_7\",\"slot_2\",\"slot_3\",\"slot_8\",\"slot_4\",\n \"slot_9\",\"slot_5\",\"slot_10\",\"slot_11\",\"slot_13\",\"slot_12\"]\nins=[]\nfor s in ORDER:\n t=pos[s]+PEEK[s]\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{t:.3f}\",\"-i\",\"edit/final_v3.mp4\",\n \"-frames:v\",\"1\",\"-vf\",\"crop=1080:420:0:250,scale=520:-1\",\n f\"/tmp/ov_{s}.jpg\",\"-y\"],check=True)\n ins+=[\"-i\",f\"/tmp/ov_{s}.jpg\"]\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",*ins,\"-filter_complex\",\n \"[0][1][2][3]vstack=4[a];[4][5][6][7]vstack=4[b];[8][9][10][11]vstack=4[c];\"\n \"[a][b]hstack[ab];[ab][c]hstack\",\"edit/verify/todos_overlays.jpg\",\"-y\"],check=True)\nprint(\"col1: titulo/escala/stepper/custo | col2: 1992/Galileu/proposta/mouse | col3: +400/licao/tese/provocacao\")\nPY",
"description": "Build contact sheet of all overlays",
"timeout": 600000
}col1: titulo/escala/stepper/custo | col2: 1992/Galileu/proposta/mouse | col3: +400/licao/tese/provocacaoRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/todos_overlays.jpg"
}[imagem]raciocínio interno
I notice I only built a 12-cell grid but had 13 items, so the last slot got dropped. Everything else looks good though — fonts are bigger and legible, glass effect is working, and the strikethrough styling on "desapareceu" in the quem entendeu × quem ficou card is rendering correctly with dimmed opacity.
Now I need to check slot_12 separately, verify the S-curve effect is applied, and run final stats verification.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, json\npos=json.load(open(\"/tmp/pos.json\"))\nfor peek,tag in [(8.2,\"cta\"),(2.0,\"nome\")]:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{pos['slot_12']+peek:.3f}\",\"-i\",\"edit/final_v3.mp4\",\n \"-frames:v\",\"1\",\"-vf\",\"crop=1080:440:0:250,scale=680:-1\",\n f\"/tmp/sig_{tag}.jpg\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"/tmp/sig_nome.jpg\",\"-i\",\"/tmp/sig_cta.jpg\",\n \"-filter_complex\",\"[0][1]vstack\",\"edit/verify/slot12.jpg\",\"-y\"],check=True)\nprint(\"ok\")\nPY\necho \"=== final ===\" && ffprobe -v error -show_entries stream=codec_type,width,height,r_frame_rate,pix_fmt -show_entries format=duration -of default=nw=1 edit/final_v3.mp4 | head -8\necho \"=== loudness ===\" && ffmpeg -hide_banner -i edit/final_v3.mp4 -af ebur128=peak=true -f null - 2>&1 | grep -E \"^\\s+(I:|Peak:)\" ",
"description": "Check signature slot and final file stats",
"timeout": 600000
}ok
=== final ===
codec_type=video
width=1080
height=1920
pix_fmt=yuv420p
r_frame_rate=30000/1001
codec_type=audio
r_frame_rate=0/0
duration=149.482000
=== loudness ===
I: -14.0 LUFS
Peak: -4.0 dBFSRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/slot12.jpg"
}[imagem]raciocínio interno
The signature card and CTA pill timing both check out. I'll rename final_v3.mp4 to final.mp4, verify the S-curve took effect by measuring the delivered file, do a final grade check, and clean up before reporting.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\ndef stats(f):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",f,\"-vf\",\"fps=1/5,scale=270:480\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\n return np.frombuffer(p.stdout,dtype=np.uint8).astype(np.float32)\na=stats(\"edit/final.mp4\"); b=stats(\"edit/final_v3.mp4\")\nprint(f\"{'':>14} {'preto=0':>9} {'>=240':>8} {'max':>5} {'p50':>6} {'p90':>6}\")\nfor lbl,x in [(\"v2 (entregue)\",a),(\"v3 (S-curve)\",b)]:\n print(f\"{lbl:>14} {100*(x==0).mean():8.2f}% {100*(x>=240).mean():7.3f}% \"\n f\"{x.max():5.0f} {np.percentile(x,50):6.1f} {np.percentile(x,90):6.1f}\")\nPY",
"description": "Verify S-curve took effect in delivered file",
"timeout": 600000
} preto=0 >=240 max p50 p90
v2 (entregue) 1.38% 0.213% 255 117.0 164.0
v3 (S-curve) 1.60% 0.051% 255 119.0 165.0raciocínio interno
I notice the highlight clipping dropped while pure black pixels increased in the composited file, yet max value stays at 255 despite the grading curve capping at 234. That's because overlays like glass panel borders and champagne text get composited after grading, so they bypass the tone curve entirely — which matches the profile's rule that overlays are never graded.
To confirm this is correct behavior rather than a grading error, I want to measure a frame where no overlay is visible on screen. Looking at the timing gaps, around t=96.0 (between slot_5 ending and slot_10 starting) and t=123 (between slot_11 and slot_13) should be clear of overlays, so I'll check the max values there to verify the footage itself stays capped near 232.
O max continua 255 nos dois — vou confirmar que isso vem dos overlays (que por regra não são graduados) e não da imagem.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, numpy as np\ndef frame_max(f,t):\n p=subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",f,\"-frames:v\",\"1\",\n \"-f\",\"rawvideo\",\"-pix_fmt\",\"gray\",\"-\"],capture_output=True,check=True)\n x=np.frombuffer(p.stdout,dtype=np.uint8).astype(np.float32)\n return x.max(), 100*(x>=240).mean()\nprint(\"instantes SEM overlay na tela (so a imagem graduada):\")\nprint(f\"{'t':>7} {'v2 max':>8} {'v2 >=240':>9} {'v3 max':>8} {'v3 >=240':>9}\")\nfor t in [96.0,123.5,134.0]:\n m2,c2=frame_max(\"edit/final.mp4\",t); m3,c3=frame_max(\"edit/final_v3.mp4\",t)\n print(f\"{t:7.1f} {m2:8.0f} {c2:8.3f}% {m3:8.0f} {c3:8.3f}%\")\nprint(\"\\ninstante COM overlay (o vidro e o texto nao sao graduados, por regra):\")\nm3,c3=frame_max(\"edit/final_v3.mp4\",3.0)\nprint(f\" 3.0 {'':8} {m3:8.0f} {c3:8.3f}%\")\nPY",
"description": "Confirm footage highlights are capped, overlays are not",
"timeout": 300000
}instantes SEM overlay na tela (so a imagem graduada):
t v2 max v2 >=240 v3 max v3 >=240
96.0 252 0.348% 240 0.000%
123.5 250 0.037% 234 0.000%
134.0 252 0.210% 232 0.000%
instante COM overlay (o vidro e o texto nao sao graduados, por regra):
3.0 253 0.349%raciocínio interno
This confirms the behavior is correct: without overlays, highlights roll off properly below 240, but with an overlay present, the glass border and text pixels aren't graded, so the max stays at 253 as expected. I'm now moving to finalize by renaming final_v3.mp4 to final.mp4.
Confirmado com precisão: sem overlay na tela, o máximo cai de 250–252 para 232–240 e >=240 zera. Onde ainda aparece 253 é pixel de overlay — o vidro e o texto branco não passam pelo grade, por regra do perfil (overlays nunca são graduados junto).
Consolidando.
Bash
{
"command": "rm -f edit/final.mp4 && mv edit/final_v3.mp4 edit/final.mp4\nrm -f edit/final_v3.prenorm.mp4 /tmp/ov_*.jpg /tmp/sig_*.jpg /tmp/s_*.jpg /tmp/pos.json /tmp/_discard.mp4\nls -la edit/final.mp4 edit/master.srt; echo \"---\"; du -sh edit/ edit/animations\nffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 edit/final.mp4",
"description": "Consolidate final file and clean temps"
}-rw-r--r--@ 1 [oculto] staff 184453407 Aug 20 18:44 edit/final.mp4
-rw-r--r--@ 1 [oculto] staff 6052 Aug 20 18:29 edit/master.srt
---
1.4G edit/
793M edit/animations
149.482000SendUserFile
{
"files": [
"[oculto]/Desktop/aula-edit/edit/verify/todos_overlays.jpg"
],
"caption": "Os 13 overlays com a fonte maior e a banda 12% mais baixa. O final.mp4 tem 176 MB e passa do limite de upload — abra pelo caminho.",
"status": "normal"
}1 file delivered to user.
[oculto]/Desktop/aula-edit/edit/verify/todos_overlays.jpg → file_uuid: 17bc120b-f63b-4f6f-8e36-f263273bea6aPronto.
O arquivo final
[oculto]/Desktop/aula-edit/edit/final.mp4
Mesmo caminho de sempre. 2:29,5 · 1080×1920 · 29,97fps · −14,0 LUFS. O vídeo tem 176 MB e passa do limite de upload, então abre só pelo app desktop desta máquina. Mandei o contact sheet dos overlays aqui no chat para você conferir a fonte e a altura antes de abrir.
1) S-curve
Antes de desenhar, medi o topo por canal, não só a luma. Achado útil: o clipping duro é mínimo — 0,063% do quadro. O que lê como estourado é a faixa de luma 200–255 (0,35% do quadro: as luminárias e o abajur). Por isso o ombro comprime só a partir de 0,72 — o teto, que ocupa a faixa 164–178, fica intocado.
| p2 | p5 | p10 | p30 | p50 | p70 | p90 | p99,9 | |
|---|---|---|---|---|---|---|---|---|
| variação | −89% | −62% | −16% | −4% | +0,8% | +1,4% | +0,6% | −8,0% |
Toe puxando os pretos, médios com um leve ganho de contraste (é o S), ombro segurando o topo. Medindo o arquivo entregue em instantes sem overlay na tela: o máximo caiu de 250–252 para 232–240 e a fração acima de 240 zerou. Onde o medidor ainda acusa 253 é pixel de vidro e texto branco — overlay não passa pelo grade, por regra.
2) Overlays 12% mais baixos
BAND_TOP de 44 → 274 (12% da altura do quadro). Vale um aviso: o topo da cabeça fica em ~317–340px na saída, então em alguns enquadramentos os cards passam a cobrir o cabelo. Nos frames que conferi eles limpam, mas não em todos. Se te incomodar, me diga e eu subo — é um número num arquivo só.
3) Fonte +25%
Em tudo menos o título, como você pediu. Pílulas 34→43, nome 52→65, o número do payoff 88→110.
4) De 5 para 13 overlays
Cobertura foi de 33% para 76% do tempo. Os oito novos: a escala da operação antiga, o stepper do fluxo de uma venda (passo a passo, 18s que antes eram vazios), o que era o Galileu, o mouse no chão, quem entendeu × quem ficou, a tese 1992→2026, a provocação e a assinatura com CTA.
Os slots agora são gerados por animations/gen_slots.py — a receita de vidro e a geometria da banda vivem num lugar só, então mudar a altura ou a fonte é editar uma linha e regerar.
Uma armadilha que quase entregou vídeo quebrado
Escrevi o stepper trocando o texto por tl.call(). O HyperFrames renderiza por seek, e o seek() do GSAP suprime callbacks por padrão — o texto simplesmente nunca mudaria no arquivo final, e o check não pega isso. Reescrevi com cinco pílulas próprias em cross-fade, que é puro tween e seek-safe. Ficou registrado no project.md como regra: nada de callback mexendo em DOM numa composição HyperFrames.
Também remanejei três pontos de zoom que colidiam com a entrada de cards — o pior era o punch do clímax, que caía exatamente no frame em que o card "2026" entrava.
Agora preciso que gere uma cópia nova do vídeo final.mp4 com a legenda do arquivo master.srt nela. Antes, corrija na legenda 92: troque "Né a síndrome de Gabriela" por "É a síndrome de Gabriela". Estilo das legendas: fonte montserrat bold, texto branco com contorno/sombra sutil para leitura sobre qualquer fundo, posicionadas 13% abaixo da centro do vídeo. Mantenha a sincronia com o áudio. E o estilo que a legenda deve aparecer é toda minuscula e palavra por palavra. Quando terminar, me diga onde ficou o novo arquivo final.
raciocínio interno
This machine's ffmpeg lacks libass, so the subtitles filter won't work as documented. I'm weighing whether to install ffmpeg-full, which would modify their system and should probably be confirmed first, versus rendering subtitles myself as overlay images composited through my existing pipeline.
The HyperFrames caption track approach feels most elegant — I control the font, casing, word-by-word timing, and styling directly, and it fits naturally into the compositing pipeline I've already built. The key constraint is that captions must be added as the very last overlay, after everything else, but without passing through the glass frosting mask since captions shouldn't blur the background behind them.
Rather than re-encoding the already-composited final.mp4 (which would cause quality loss), I should rebuild from base.mp4 in a single pass: base → frost and overlays → captions → output. A full 149-second caption track at ProRes 4444 would be roughly 900MB and take about 4 minutes to render, which seems feasible even with ~1000 word cues in the timeline. I should also check whether ffmpeg has drawtext/libfreetype available as a simpler alternative worth comparing.
Let me check what subtitle filters and ffmpeg binaries are actually available on the system, and also look at the SRT around subtitle 92 since the user wants that fixed — it looks like a transcript correction is needed there, changing "Né" to "É" in the word-by-word caption data to match what was actually said.
My plan: verify ffmpeg capabilities, fix the SRT entry, build word-by-word caption data mapped to the output timeline, render captions with whatever method is available, composite everything, then verify sync. I also need to check whether the Montserrat Bold font is installed or needs to be fetched.
Now I'm working out the caption position — interpreting "13% abaixo do centro do vídeo" as 13% of frame height below center, giving y ≈ 1210px. I'm also checking this against my earlier subtitle zone guard at y=1700 to make sure the caption placement doesn't conflict with that overlay boundary.
Antes de tudo, o bloqueio conhecido desta máquina: o ffmpeg não tem libass. Vou verificar o que existe de fato antes de escolher a rota.
Bash
{
"command": "ffmpeg -hide_banner -filters 2>/dev/null | grep -E \"subtitles|drawtext|^ .. ass\" ; echo \"--- config ---\"; ffmpeg -hide_banner -version 2>/dev/null | tr ' ' '\\n' | grep -E \"libass|freetype|fontconfig|harfbuzz\" ; echo \"--- outros ffmpeg ---\"; ls -1 /opt/homebrew/bin/ffmpeg* /usr/local/bin/ffmpeg* 2>/dev/null; brew list 2>/dev/null | grep -i ffmpeg; echo \"--- fontes montserrat ---\"; ls ~/Library/Fonts /Library/Fonts 2>/dev/null | grep -i montserrat | head",
"description": "Check ffmpeg subtitle capabilities and Montserrat availability"
}--- config ---
--- outros ffmpeg ---
(eval):1: no matches found: /usr/local/bin/ffmpeg*
ffmpeg
--- fontes montserrat ---raciocínio interno
I've confirmed ffmpeg here lacks subtitle/drawtext/ass filters and libass entirely, and Montserrat isn't installed locally, so burning captions directly via ffmpeg text filters won't work without installing dependencies. Instead, I'll render the captions as a HyperFrames composition with alpha transparency, letting it fetch Montserrat from Google Fonts the way it did for Inter, then composite that over the video.
This approach actually beats libass for the word-by-word, lowercase, custom-font styling the user wants, though it means dealing with a large ProRes 4444 alpha file — roughly 900MB for 149.5s based on the observed encoding rate, which should fit given current disk space. Rendering at 30fps means about 4485 frames, which at the observed render speed should take around six minutes; I'm weighing whether an 8GB machine can handle a GSAP timeline with roughly a thousand word tweens without memory issues.
I'm now thinking through whether 1000 DOM elements with 2000 tweens is too heavy for the renderer, and considering instead splitting the caption track into smaller chunks (e.g. 10 segments of ~15s each) rendered separately and composited as overlays, which would keep each composition lighter and more manageable.
Weighing the tradeoffs, I decide to try rendering the full-length caption track first since it's simpler, and fall back to chunking only if that fails. I also need to check available disk space before proceeding, since the extra ProRes 4444 overlay will add significant size, and then move forward with building the word list on the output timeline.
My plan: build the word list with the midpoint-assignment logic and the "Né"→"É" fix, generate a full-length HyperFrames caption composition in Montserrat Bold with outline and shadow positioned near the bottom, render it to MOV with alpha, then composite the base with the 13 frosted overlays plus the caption track layered last. I'll verify sync by sampling frames at known word times and update master.srt with the same fix. Now I'm modifying the composite function to accept a caption parameter...
Adding caption overlay logic...
Now I'll start by checking SRT entry 92 on disk.
Confirmado e é definitivo: não há subtitles, drawtext nem ass neste ffmpeg, e nem libass/freetype na compilação. Queimar legenda por filtro de texto é impossível aqui sem instalar outra fórmula.
Mas o pedido é word-by-word com fonte específica — isso o HyperFrames faz melhor que o libass, e já tenho o pipeline de composite. Vou renderizar a legenda como faixa com alpha e compor por último. Primeiro, o texto e o espaço em disco.
Bash
{
"command": "df -h [oculto] | tail -1; echo \"--- legenda 92 ---\"; ~/Developer/video-use/.venv/bin/python - <<'PY'\nimport re\nt=open(\"edit/master.srt\",encoding=\"utf-8\").read()\nblocks=re.split(r\"\\n\\s*\\n\", t.strip())\nfor b in blocks:\n if b.strip().startswith(\"92\\n\") or b.strip().startswith(\"91\\n\") or b.strip().startswith(\"93\\n\"):\n print(b); print()\nPY",
"description": "Check disk space and inspect subtitle 92"
}/dev/disk3s1 228Gi 193Gi 12Gi 95% 1.4M 125M 1% /System/Volumes/Data
--- legenda 92 ---
91
00:02:14,029 --> 00:02:15,965
"Eu estou muito confortável fazendo o
92
00:02:16,038 --> 00:02:16,893
que eu sempre fiz".
93
00:02:16,947 --> 00:02:17,929
Né a síndrome de Gabriela.raciocínio interno
I notice the text the user quoted actually belongs to entry 93, not 92 as they said — entry 92 is "que eu sempre fiz". I'll fix the text they specified and mention the numbering discrepancy. I also need to keep an eye on disk space since there's only 12 GB free, though the caption track itself should be fine.
Now I'm working out the word-by-word caption timing: extracting the word list with midpoint assignment like in build_srt, applying the "né"→"é" fix at the word level, then building the display logic. For a clean karaoke-style reveal without flicker, I'll show each word from its start until just before the next word begins, with a small hold (start to min(next_word.start, word.end + 0.35)) so it stays visible through short pauses but clears during real gaps.
For styling, I'm going with lowercase text, Montserrat Bold in white with a subtle stroke using paint-order to keep the outline behind the fill, plus a soft drop shadow for readability over any background. I'm sizing the font around 80-86px, checking that the longest word ("computadorizado") still fits within the 1080px width with margins, and positioning the text vertically around y=1210 for a natural lower-third placement. With over 1000 word spans to render, I need to think about how to structure the implementation efficiently.
I'm estimating render time for the full 149.5s composition — roughly 4485 frames at about 12fps output, so around 6-8 minutes total, which seems acceptable, and I don't think HyperFrames imposes a max duration limit. Now I'm planning the composition generator script: it'll load the transcript and EDL, compute output timing using the measured clip mapping, and extract the word list to drive the word-by-word animation.
I also need to decide how to handle punctuation in the transcript — words with quote marks like stray double quotes look odd in a word-by-word karaoke style, so I'm leaning toward stripping quotes and possibly other punctuation entirely, since that's the typical convention for this lowercase, one-word-at-a-time caption style.
I'll settle on lowercasing, always stripping quotes, dropping trailing commas and periods, but keeping question marks and exclamation points since they carry meaning. Now I need to check the longest word to properly size the font.
Duas coisas antes de gerar:
A legenda com "Né a síndrome de Gabriela" é a 93, não a 92. A 92 é "que eu sempre fiz". Vou corrigir o texto que você citou — ele é inequívoco — e sigo pelo texto, não pelo número.
Espaço em disco: 12 GB livres. A faixa de legenda em ProRes com alpha vai pesar ~900 MB, cabe. Vou montar os dados das palavras.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json, re; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\n\nedl=json.load(open(\"edit/edl.json\"))\nranges=build.quantize(edl[\"ranges\"])\nclips=sorted(Path(\"edit/clips_graded\").glob(\"seg_*.mp4\"))\nreal=[build.seg_real_duration(c) for c in clips]\nwords=[w for w in json.load(open(\"edit/transcripts/video1.json\"))[\"words\"]\n if w.get(\"type\")==\"word\"]\n\n# Palavra pertence ao segmento que contem seu PONTO MEDIO (mesma regra do SRT:\n# exigir contencao total perde toda palavra que atravessa emenda de punch).\nout=[]\nfor r,d in zip(ranges,real):\n a,b=float(r[\"start\"]),float(r[\"end\"])\n off=build.src_to_real_out(a,ranges,real); scale=d/(b-a)\n for w in words:\n mid=(w[\"start\"]+w[\"end\"])/2\n if a<=mid<b:\n out.append({\"t\":off+(max(w[\"start\"],a)-a)*scale,\n \"e\":off+(min(w[\"end\"],b)-a)*scale,\n \"raw\":(w.get(\"text\") or \"\").strip()})\nout.sort(key=lambda x:x[\"t\"])\n\n# Correcao pedida pelo usuario: \"Ne a sindrome\" -> \"E a sindrome\".\nfixed=0\nfor i,w in enumerate(out):\n if w[\"raw\"]==\"Né\" and i+2<len(out) and out[i+2][\"raw\"].lower().startswith(\"síndrome\"):\n w[\"raw\"]=\"É\"; fixed+=1\n\ndef clean(s):\n s=s.replace('\"','').replace('“','').replace('”','')\n s=re.sub(r'[,.]+$','',s) # em palavra-por-palavra virgula/ponto viram ruido\n return s.lower()\n\ncaps=[]\nfor i,w in enumerate(out):\n txt=clean(w[\"raw\"])\n if not txt: continue\n nxt=out[i+1][\"t\"] if i+1<len(out) else w[\"e\"]+0.4\n caps.append({\"t\":round(w[\"t\"],3),\n \"o\":round(min(nxt, w[\"e\"]+0.35),3), # segura em gap curto, limpa em pausa real\n \"w\":txt})\njson.dump(caps,open(\"edit/captions.json\",\"w\"),ensure_ascii=False)\nlongest=max(caps,key=lambda c:len(c[\"w\"]))\nprint(f\"{len(caps)} palavras · correcao 'Ne'->'E' aplicada: {fixed}x\")\nprint(f\"palavra mais longa: '{longest['w']}' ({len(longest['w'])} chars)\")\nprint(f\"primeira {caps[0]['t']:.2f}s '{caps[0]['w']}' · ultima {caps[-1]['t']:.2f}s '{caps[-1]['w']}'\")\ni=[n for n,c in enumerate(caps) if c[\"w\"]==\"síndrome\"][0]\nprint(\"trecho corrigido:\", \" \".join(c[\"w\"] for c in caps[i-2:i+4]))\nPY",
"description": "Build word-by-word caption data on the output timeline"
}417 palavras · correcao 'Ne'->'E' aplicada: 1x
palavra mais longa: 'computadorizado' (15 chars)
primeira 0.05s 'até' · ultima 148.85s 'próximo'
trecho corrigido: é a síndrome de gabriela nasciraciocínio interno
Only 417 words came out when I expected closer to 800 given that roughly 76% of the 216-second transcript should be kept. I'm trying to figure out why the word-collection loop across ranges isn't capturing as many words as it should.
417 palavras parece pouco para 164s de fala. Vou conferir antes de seguir.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, json; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\nedl=json.load(open(\"edit/edl.json\")); ranges=build.quantize(edl[\"ranges\"])\ntr=json.load(open(\"edit/transcripts/video1.json\"))\nallw=tr[\"words\"]\nwords=[w for w in allw if w.get(\"type\")==\"word\"]\nprint(f\"tipos no transcript: { {t: sum(1 for w in allw if w.get('type')==t) for t in set(w.get('type') for w in allw)} }\")\nprint(f\"palavras totais: {len(words)} duracao fonte 216s -> {len(words)/216:.1f} palavras/s\")\n# quantas caem em range mantido\nkept=0; per=[]\nfor r in ranges:\n a,b=float(r[\"start\"]),float(r[\"end\"])\n n=sum(1 for w in words if a<=(w[\"start\"]+w[\"end\"])/2<b)\n per.append(n); kept+=n\nprint(f\"palavras em ranges mantidos: {kept}\")\nprint(\"por segmento:\", per)\nPY",
"description": "Debug word count in kept ranges"
}tipos no transcript: {'word': 528, 'spacing': 527}
palavras totais: 528 duracao fonte 216s -> 2.4 palavras/s
palavras em ranges mantidos: 417
por segmento: [23, 13, 6, 24, 16, 22, 19, 9, 16, 15, 9, 9, 20, 25, 8, 19, 16, 25, 13, 17, 8, 21, 22, 12, 17, 13]raciocínio interno
The real word count is 528, not 1055 — that earlier figure included spacing entries. With 417 words kept, that's 79%, consistent with the 76% of time retained, and 2.4 words/sec checks out as normal speech pace. Now I'm moving on to building the HyperFrames caption composition, planning to use Montserrat Bold from Google Fonts and adding an explicit font link to be safe.
Since HyperFrames auto-fetches fonts based on the family name in CSS, specifying Montserrat with weight 700 should trigger that automatically, so I'll verify the fetch in the check output rather than relying solely on a manual link tag. I'm working out the styling details: white text with a dark stroke outline behind the glyphs, a soft drop shadow, and sizing the text at 84px bold while checking that "computadorizado" fits within the 1080px frame with margin — it does, with room to spare — and I'll cap it with a max-width and no-wrap so the linter catches any overflow.
For positioning, I'm centering the text block vertically around y=1210, which means placing a flex container at top 1164 with a height of 93px so each word centers within it. For the word-by-word animation, I'm planning quick fade-in/fade-out transitions with a subtle scale pop for punch, keeping the fades short (around 0.06s) so the rapid word changes feel snappy rather than sluggish, and avoiding animation during the static visible period to preserve rendering efficiency across roughly 1200 tweens.
Now I'm realizing there's a critical timing issue: the caption track needs to match the base composition duration of 149.483s, but since HyperFrames renders at 30fps while the composite speeds things up and converts to 29.97fps, I need to make sure the caption overlay isn't being sped up along with everything else — the captions are already authored on the output timeline, so applying the same speed transformation to them would desync everything.
I'm weighing options for handling this: either make the composite treat captions as a special unsped, unfrosted overlay applied last, or author the caption cues pre-multiplied by the speed factor so they land correctly after the global speed transform — though that second approach feels fragile and error-prone compared to just special-casing the caption track in the composite logic.
Actually, the fps filter resamples by duplicating or dropping frames while preserving timestamps, so a frame at t=100s stays at t=100s — no drift. The composition's duration at 30fps works out close enough that tpad handles any tail discrepancy, and since word cue times are in seconds matching the frame grid, the sync should hold up correctly.
Now I'm moving on to writing gen_captions.py. For the text outline effect, I want to verify that Chromium supports paint-order: stroke fill for HTML text (not just SVG) — it does. But as a safer fallback that works everywhere, I'm considering using stacked text-shadows to simulate an outline instead of relying on webkit-text-stroke alone.
I'll use a moderate stroke of around 3px at 0.55 alpha combined with a soft drop shadow, keeping it subtle as requested rather than a heavy outline.
Explicado: são 528 palavras no transcrito (as 1055 incluíam os espaçamentos), e 417 caem no material mantido — 79%, batendo com os 76% de tempo preservado. Os dados estão certos.
Agora, um ponto que precisa de cuidado no pipeline: as 13 animações são ancoradas em tempo de fonte e o composite as acelera 1,1×. A legenda já nasce em tempo de saída — se passar pelo mesmo caminho, dessincroniza. Vou dar a ela uma via própria: sem aceleração, sem máscara de vidro, e por último.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/edit/animations/gen_captions.py",
"content": "\"\"\"Gera a composicao de legenda palavra-por-palavra (slot_cap).\n\nPor que HyperFrames e nao ffmpeg: o ffmpeg desta maquina nao tem libass NEM\nlibfreetype — nao existe `subtitles`, `ass` nem `drawtext`. Nao ha como queimar\ntexto por filtro. A saida e renderizar a legenda como faixa com alpha e compor\npor cima, que ainda respeita a Regra Dura nº 1 (legenda por ultimo).\n\nATENCAO ao tempo: os cues daqui ja estao no timeline de SAIDA (pos-corte,\npos-1.1x). Os outros 13 slots sao ancorados em tempo de FONTE e o composite os\nacelera; esta faixa NAO pode passar por esse setpts. Ela entra pela via\n`captions` do composite, que nao acelera e nao fosca.\n\n ~/Developer/video-use/.venv/bin/python edit/animations/gen_captions.py\n\"\"\"\nimport json\nfrom pathlib import Path\n\nHERE = Path(__file__).resolve().parent\nEDIT = HERE.parent\n\n# \"posicionadas 13% abaixo do centro do video\" -> 13% da ALTURA DO QUADRO\n# abaixo da linha de centro.\nCENTER_Y = 1920 // 2\nOFFSET = round(0.13 * 1920) # 250px\nLINE_H = 96\nTOP = CENTER_Y + OFFSET - LINE_H // 2 # 1162\n\nFONT_PX = 84\n\ncaps = json.loads((EDIT / \"captions.json\").read_text(encoding=\"utf-8\"))\nDUR = 149.483\n\n\ndef main():\n words_js = json.dumps(caps, ensure_ascii=False)\n html = f\"\"\"<!doctype html>\n<html lang=\"pt-BR\">\n <head>\n <meta charset=\"UTF-8\" />\n <meta name=\"viewport\" content=\"width=1080, height=1920\" />\n <link rel=\"preconnect\" href=\"https://fonts.googleapis.com\" />\n <link href=\"https://fonts.googleapis.com/css2?family=Montserrat:wght@700&display=swap\"\n rel=\"stylesheet\" />\n <script src=\"https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js\"></script>\n <style>\n * {{ margin: 0; padding: 0; box-sizing: border-box; }}\n html, body {{ width: 1080px; height: 1920px; overflow: hidden; background: transparent; }}\n\n #cap {{\n position: absolute; left: 0; top: {TOP}px;\n width: 1080px; height: {LINE_H}px;\n }}\n .w {{\n position: absolute; left: 0; top: 0;\n width: 1080px; height: {LINE_H}px;\n display: flex; align-items: center; justify-content: center;\n font-family: \"Montserrat\", \"Helvetica Neue\", sans-serif;\n font-weight: 700;\n font-size: {FONT_PX}px;\n letter-spacing: -1px;\n color: #ffffff;\n white-space: nowrap;\…File created successfully at: [oculto]/Desktop/aula-edit/edit/animations/gen_captions.py (file state is current in your context — no need to Read it back)Agora a via própria da legenda no composite — sem aceleração, sem máscara de vidro, e depois de tudo.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/build.py\"; s=open(p).read()\n\ns=s.replace(\"def build_final_composite_glass(base_path, overlays, subtitles_path, out_path, edit_dir):\",\n \"def build_final_composite_glass(base_path, overlays, subtitles_path, out_path, edit_dir,\\n\"\n \" captions=None):\")\n\ns=s.replace(''' 4. legenda POR ULTIMO (Regra Dura nº 1).\n \"\"\"''',''' 4. legenda POR ULTIMO (Regra Dura nº 1).\n\n `captions` e uma faixa RGBA opcional com a legenda, e tem tratamento\n DIFERENTE dos outros overlays, por tres motivos:\n - NAO leva setpts: os cues dela ja estao no timeline de saida (pos-1.1x),\n enquanto os 13 slots sao ancorados em tempo de fonte e precisam acelerar;\n - NAO entra na mascara de fosco: legenda nao borra o fundo atras dela;\n - entra POR ULTIMO, depois de todo overlay (Regra Dura nº 1).\n \"\"\"''')\n\nold=''' cur = \"[bg]\"\n for i in range(1, len(overlays) + 1):\n f.append(f\"{cur}[ob{i}]overlay=format=auto:shortest=1[v{i}]\")\n cur = f\"[v{i}]\"\n'''\nnew=''' cur = \"[bg]\"\n for i in range(1, len(overlays) + 1):\n f.append(f\"{cur}[ob{i}]overlay=format=auto:shortest=1[v{i}]\")\n cur = f\"[v{i}]\"\n\n if captions is not None:\n ci = len(overlays) + 1\n cdur = seg_real_duration(Path(captions))\n ctail = max(0.0, total - cdur)\n # Sem setpts de velocidade: a faixa ja esta no tempo de saida.\n f.append(f\"[{ci}:v]format=yuva420p,fps={FPS_STR},setpts=PTS-STARTPTS,\"\n f\"tpad=stop_duration={ctail:.3f}:stop_mode=add:color=0x00000000[cap]\")\n f.append(f\"{cur}[cap]overlay=format=auto:shortest=1[vc]\")\n cur = \"[vc]\"\n'''\nassert old in s\ns=s.replace(old,new)\n\ns=s.replace(''' inputs = [\"-i\", str(base_path)]\n for ov in overlays:\n inputs += [\"-i\", str((edit_dir / ov[\"file\"]).resolve())]''',\n''' inputs = [\"-i\", str(base_path)]\n for ov in overlays:\n inputs += [\"-i\", str((edit_dir / ov[\"file\"]).resolve())]\n if captions is not None:\n inputs += [\"-i\", str(Path(captions).resolve())]''')\n\ns=s.replace(''' print(f\"compositing (frosted glass) → {out_path.name} \"\n f\"[{len(overlays)} overlays, sigma {GLASS_SIGMA}]\")''',\n''' print(f\"compositing (frosted glass) → {out_path.name} \"\n f\"[{len(overlays)} overlays,…build.py: via de legenda adicionada
composite.py: flag --captions adicionada
slot_cap gerado: 417 palavras · 149.483s
fonte Montserrat 700 · 84px · linha centrada em y=1210px (250px = 13% abaixo do centro)Bash
{
"command": "cd [oculto]/Desktop/aula-edit/edit/animations/slot_cap && npx --yes hyperframes@0.7.102 check 2>&1 | grep -iE \"montserrat|font|error\\(s\\)|issues across|Check (passed|failed)|✗|overflow\" | head -12",
"description": "Check caption composition and Montserrat availability",
"timeout": 900000
}[INFO] [Compiler] Fetched 11 font face(s) for "Montserrat" from Google Fonts (cached to [oculto]/.cache/hyperframes/fonts/montserrat)
[INFO] [Compiler] Fetched 5 font face(s) for "Helvetica Neue" from Google Fonts (cached to [oculto]/.cache/hyperframes/fonts/helvetica-neue)
[INFO] [Compiler] Injected deterministic @font-face rules for 2 requested font families
⚠ google_fonts_import: Composition loads fonts from fonts.googleapis.com. The producer resolves Google Fonts during compile/render, but raw external font requests add latency and can fail before canonicalization. Prefer mapped family names or local @font-face declarations when possible.
Fix: For bundled fonts, remove the Google Fonts <link> or @import and keep the font-family declaration. For custom fonts, use @font-face { font-family: '...'; src: url('...woff2'); }.
ℹ system_font_will_alias: Font family will be substituted at render time: 'helvetica neue' → Inter. The renderer maps these to bundled fonts for cross-platform consistency. Use the target font name directly for consistent preview and render results.
0 error(s), 1 warning(s), 1 info(s)
◇ 0 issues across 9 sample(s)
◇ Check passedraciocínio interno
Montserrat fetched fine with 11 font faces cached, and the check passed except for a warning about the explicit Google Fonts link, which the linter says to drop since HyperFrames resolves it automatically during compile. I'll remove that link and regenerate, then kick off rendering — at 149.483s and 30fps that's 4485 frames, roughly 6-10 minutes. I should also double check the text afterward.
A short test render would be cheap insurance before committing to a 10-minute render, but setting up a separate composition for that is extra overhead, so I'll just do the full render and verify the output directly — the font check already passed. Size-wise, 149.5s in ProRes 4444 should land around 915MB, well within the 12GB free space. Let's proceed.
Montserrat resolvido (11 faces em cache) e check limpo. Vou remover o <link> que o linter apontou como desnecessário e renderizar a faixa completa.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit && ~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"edit/animations/gen_captions.py\"; s=open(p).read()\ns=s.replace(''' <link rel=\"preconnect\" href=\"https://fonts.googleapis.com\" />\n <link href=\"https://fonts.googleapis.com/css2?family=Montserrat:wght@700&display=swap\"\n rel=\"stylesheet\" />\n''',''' <!-- Sem <link> do Google Fonts de proposito: o compilador do HyperFrames\n resolve a familia pelo nome e injeta @font-face deterministico. O link\n cru so adiciona latencia e pode falhar antes da canonicalizacao. -->\n''')\ns=s.replace('font-family: \"Montserrat\", \"Helvetica Neue\", sans-serif;',\n 'font-family: \"Montserrat\", sans-serif;')\nopen(p,\"w\").write(s)\nPY\n~/Developer/video-use/.venv/bin/python edit/animations/gen_captions.py\nnpx --yes hyperframes@0.7.102 render . --format mov -o render.mov 2>&1 | tail -3",
"description": "Render the full caption track with alpha",
"run_in_background": true
}Command running in background with ID: by90inrci. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/by90inrci.output. You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains [oculto]/Desktop/aula-edit/edit/animations/slot_cap; directory changes made by the backgrounded command do not apply to subsequent commands.raciocínio interno
Wait, I need to reconsider — the cd in my background command changed directory to the aula-edit root before running the script, but the session's actual working directory was still the slot_cap folder, so I may have run the render against the wrong project path entirely.
O cd mudou o diretório do comando inteiro — o render vai rodar na raiz errada. Vou verificar.
Bash
{
"command": "sleep 20; cat /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/by90inrci.output | tail -8; echo \"--- gerado? ---\"; ls -la [oculto]/Desktop/aula-edit/edit/animations/slot_cap/",
"description": "Check render start and generated files",
"timeout": 120000
}slot_cap gerado: 417 palavras · 149.483s
fonte Montserrat 700 · 84px · linha centrada em y=1210px (250px = 13% abaixo do centro)
No index.html file found.
Run npx hyperframes init to create a new composition.
[exited with code 0]
--- gerado? ---
total 64
drwxr-xr-x@ 5 [oculto] staff 160 Aug 20 22:07 .
drwxr-xr-x@ 18 [oculto] staff 576 Aug 20 22:07 ..
-rw-r--r--@ 1 [oculto] staff 298 Aug 20 22:08 hyperframes.json
-rw-r--r--@ 1 [oculto] staff 20511 Aug 20 22:08 index.html
-rw-r--r--@ 1 [oculto] staff 189 Aug 20 22:08 package.jsonComo suspeitei, o render rodou na raiz errada. Rodando de dentro do slot.
Bash
{
"command": "npx --yes hyperframes@0.7.102 render . --format mov -o render.mov 2>&1 | tail -3",
"description": "Render caption track from inside the slot",
"run_in_background": true
}Command running in background with ID: bg8vcm8i0. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bg8vcm8i0.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "until [ -f [oculto]/Desktop/aula-edit/edit/animations/slot_cap/render.mov ] || ! ps aux | grep -q \"[h]yperframes\"; do sleep 30; done; sleep 3; tail -4 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bg8vcm8i0.output",
"description": "Wait for caption track render",
"timeout": 3000000
}◇ [oculto]/Desktop/aula-edit/edit/animations/slot_cap/render.mov
342.3 MB · 2m 29.5s video · rendered in 4m 6.2s
[exited with code 0]raciocínio interno
The file came out at 342MB over 2m29.5s, smaller than expected since the mostly transparent frames compress well in ProRes 4444. Now I want to verify the alpha channel and check a frame before compositing, then run a quick visual test of the caption track alone over the base footage to confirm the look and sync before doing a full composite.
I'll spot-check at a known word time — finding when "gabriela" appears in captions.json to verify the timing lines up correctly.
342 MB (menos que o estimado — quadro transparente comprime bem). Vou conferir alpha e o visual antes do composite completo.
Bash
{
"command": "cd [oculto]/Desktop/aula-edit && ffprobe -v error -select_streams v:0 -show_entries stream=pix_fmt,width,height -show_entries format=duration -of default=nw=1 edit/animations/slot_cap/render.mov\n~/Developer/video-use/.venv/bin/python - <<'PY'\nimport json\ncaps=json.load(open(\"edit/captions.json\"))\nfor alvo in [\"síndrome\",\"gabriela\",\"galileu\",\"mensageiro\",\"computadorizado\"]:\n hits=[c for c in caps if c[\"w\"]==alvo]\n if hits: print(f\" '{alvo}': {hits[0]['t']:.2f}s -> {hits[0]['o']:.2f}s ({len(hits)}x no video)\")\nPY",
"description": "Verify caption track alpha and find test timestamps"
}width=1080
height=1920
pix_fmt=yuva444p12le
duration=149.500000
'síndrome': 137.15s -> 137.47s (1x no video)
'gabriela': 137.56s -> 138.16s (1x no video)
'galileu': 15.72s -> 16.88s (5x no video)
'mensageiro': 27.61s -> 28.15s (7x no video)
'computadorizado': 62.57s -> 63.57s (1x no video)Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport sys, subprocess; sys.path.insert(0,\"edit\")\nfrom pathlib import Path\nimport build\n# testa sobre a base, na via correta de legenda\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",\"136.6\",\"-t\",\"3.2\",\"-i\",\"edit/base.mp4\",\n \"-c:v\",\"libx264\",\"-crf\",\"22\",\"-preset\",\"veryfast\",\"-c:a\",\"aac\",\n \"/tmp/_cb.mp4\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",\"136.6\",\"-t\",\"3.2\",\n \"-i\",\"edit/animations/slot_cap/render.mov\",\"-c:v\",\"prores_ks\",\n \"-profile:v\",\"4444\",\"-pix_fmt\",\"yuva444p10le\",\"/tmp/_cc.mov\",\"-y\"],check=True)\nbuild.build_final_composite_glass(Path(\"/tmp/_cb.mp4\"), [], None,\n Path(\"/tmp/_cg.mp4\"), Path(\"edit\"),\n captions=\"/tmp/_cc.mov\")\nfor t,l in [(0.60,\"sindrome\"),(1.05,\"gabriela\"),(2.30,\"nasci\")]:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"/tmp/_cg.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"crop=1080:260:0:1080,scale=760:-1\",f\"/tmp/cap_{l}.jpg\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"/tmp/cap_sindrome.jpg\",\"-i\",\"/tmp/cap_gabriela.jpg\",\n \"-i\",\"/tmp/cap_nasci.jpg\",\"-filter_complex\",\"[0][1][2]vstack=3\",\n \"edit/verify/legenda.jpg\",\"-y\"],check=True)\nprint(\"ok\")\nPY",
"description": "Spot-test caption rendering over the base",
"timeout": 600000
}compositing (frosted glass) → _cg.mp4 [0 overlays, sigma 40, + legenda por ultimo]
okRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/legenda.jpg"
}[imagem]raciocínio interno
The Montserrat Bold captions look legible in white with a dark outline, and the sync matches the timings well. But I notice at that tight-zoom moment, positioning the caption 13% below center puts it right over his mouth and chin, which is worth flagging as an overlap issue.
Actually, checking the crop range more carefully, that position lands over his neck/chin area rather than the mouth — in the full frame it'd sit lower-middle, which is normal for this style, but I should pull a full frame to verify properly before moving on.
I'll run the full composite in the background now, and while that's processing, I'll also patch master.srt to fix the "Né" → "É" correction the user requested, since that's the sidecar file they'll import.
Montserrat Bold, minúscula, contorno sutil e legível sobre a pele e a camiseta. Sincronia batendo. Vou rodar o composite completo e corrigir o SRT em paralelo.
Bash
{
"command": "rm -f /tmp/_cb.mp4 /tmp/_cc.mov /tmp/_cg.mp4 /tmp/cap_*.jpg\n~/Developer/video-use/.venv/bin/python edit/composite.py --base edit/base.mp4 -o edit/final_v4.mp4 \\\n --captions edit/animations/slot_cap/render.mov 2>&1 | tail -12",
"description": "Composite with all overlays plus captions",
"run_in_background": true
}Command running in background with ID: bns1g1vej. Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bns1g1vej.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport re\np=\"edit/master.srt\"\nt=open(p,encoding=\"utf-8\").read()\nantes=t\nt=t.replace(\"Né a síndrome de Gabriela.\",\"É a síndrome de Gabriela.\")\nopen(p,\"w\",encoding=\"utf-8\").write(t)\nprint(\"master.srt corrigido\" if t!=antes else \"ATENCAO: nada substituido\")\n# mostra o bloco\nfor b in re.split(r\"\\n\\s*\\n\", t.strip()):\n if \"síndrome de Gabriela\" in b: print(\"\\n\"+b)\nPY",
"description": "Fix the Né/É correction in master.srt"
}master.srt corrigido
93
00:02:16,947 --> 00:02:17,929
É a síndrome de Gabriela.Bash
{
"command": "until [ -f edit/final_v4.mp4 ] || ! ps aux | grep -q \"[c]omposite.py\"; do sleep 30; done; sleep 3; tail -10 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bns1g1vej.output",
"description": "Wait for final composite with captions",
"timeout": 3000000
}Command did not complete within its 600s timeout and was moved to the background (ID: bpxxh90iu). Output is being written to: /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bpxxh90iu.output. You will be notified when it completes. To check interim output, use Read on that file path.Bash
{
"command": "tail -6 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bns1g1vej.output; ls -la edit/final_v4* 2>/dev/null; ps aux | grep \"[f]fmpeg\" | awk '{print $3\"% cpu\",$4\"% mem\"}'",
"description": "Check composite progress"
}-rw-r--r--@ 1 [oculto] staff 157024304 Aug 20 22:24 edit/final_v4.prenorm.mp4
115.2% cpu 7.5% memraciocínio interno
While waiting for it to finish, I'm double-checking the remaining details: the caption is applied last so it sits on top of all overlays, sync was confirmed in the spot test, and the caption position is far enough from the overlay band to avoid collision. I still need to confirm the duration and make sure the "É a síndrome" fix shows up correctly in the burned-in caption.
Bash
{
"command": "until [ -f edit/final_v4.mp4 ]; do if ! ps aux | grep -q \"[c]omposite.py\"; then echo \"MORREU\"; break; fi; sleep 30; done; sleep 4; tail -10 /private/tmp/claude-501/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/bns1g1vej.output",
"description": "Wait for composite completion",
"timeout": 3000000
}compositing (frosted glass) → final_v4.prenorm.mp4 [13 overlays, sigma 40, + legenda por ultimo]
loudnorm -> -14 LUFS / -1 dBTP
loudnorm pass 1: measuring final_v4.prenorm.mp4
measured: I=-9.09 LUFS TP=0.75 LRA=2.40
loudnorm pass 2: normalizing → final_v4.mp4
pronto: [oculto]/Desktop/aula-edit/edit/final_v4.mp4 (177.1 MB)
video 149.45s · audio 149.48s · delta +33 ms
[exited with code 0]Pronto. Verificação final — sincronia, a correção, e a legenda contra os overlays.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, json\ncaps=json.load(open(\"edit/captions.json\"))\n# meio de cada palavra alvo, para checar sincronia e a correcao\ndef mid(w,n=0):\n hits=[c for c in caps if c[\"w\"]==w]\n c=hits[n]; return (c[\"t\"]+c[\"o\"])/2\nalvos=[(\"é\",None),(\"síndrome\",0),(\"gabriela\",0),(\"computadorizado\",0)]\n# 'e' aparece muito; pega o da correcao: logo antes de 'síndrome'\ni=[n for n,c in enumerate(caps) if c[\"w\"]==\"síndrome\"][0]\ntests=[(caps[i-1][\"t\"]+caps[i-1][\"o\"])/2, mid(\"síndrome\"), mid(\"gabriela\"), mid(\"computadorizado\")]\nlabels=[\"correcao (era 'né')\",\"síndrome\",\"gabriela\",\"computadorizado\"]\nprint(\"palavra antes de 'síndrome':\", repr(caps[i-1][\"w\"]))\nins=[]\nfor t,l in zip(tests,labels):\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{t:.3f}\",\"-i\",\"edit/final_v4.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"crop=1080:220:0:1100,scale=680:-1\",f\"/tmp/vf_{l[:4]}.jpg\",\"-y\"],check=True)\n ins+=[\"-i\",f\"/tmp/vf_{l[:4]}.jpg\"]\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",*ins,\"-filter_complex\",\"[0][1][2][3]vstack=4\",\n \"edit/verify/legenda_final.jpg\",\"-y\"],check=True)\nprint(\"ordem:\", \" / \".join(labels))\nPY",
"description": "Verify the correction and caption sync in final",
"timeout": 300000
}palavra antes de 'síndrome': 'a'
ordem: correcao (era 'né') / síndrome / gabriela / computadorizadoraciocínio interno
I need to find the "é" two positions before "síndrome" in the sequence "é a síndrome de gabriela" — let me check the frame at that index before grabbing it.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess, json\ncaps=json.load(open(\"edit/captions.json\"))\ni=[n for n,c in enumerate(caps) if c[\"w\"]==\"síndrome\"][0]\nprint(\"contexto:\", \" \".join(repr(c[\"w\"]) for c in caps[i-3:i+4]))\nc=caps[i-2] # deve ser 'é' (era 'né')\nt=(c[\"t\"]+c[\"o\"])/2\nprint(f\"palavra corrigida: {c['w']!r} em {t:.2f}s\")\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",f\"{t:.3f}\",\"-i\",\"edit/final_v4.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"crop=1080:220:0:1100,scale=680:-1\",\"/tmp/vf_e.jpg\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"/tmp/vf_e.jpg\",\"-i\",\"/tmp/vf_sínd.jpg\",\n \"-i\",\"/tmp/vf_gabr.jpg\",\"-i\",\"/tmp/vf_comp.jpg\",\"-filter_complex\",\n \"[0][1][2][3]vstack=4\",\"edit/verify/legenda_final.jpg\",\"-y\"],check=True)\nprint(\"ok\")\nPY",
"description": "Capture the corrected word frame",
"timeout": 300000
}contexto: 'fiz' 'é' 'a' 'síndrome' 'de' 'gabriela' 'nasci'
palavra corrigida: 'é' em 137.00s
okRead
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/legenda_final.jpg"
}[imagem]raciocínio interno
The correction confirms "é" not "né", and all words render correctly in Montserrat Bold lowercase with the subtle outline, with the longest word fitting within the frame margins. Now I want to check a full frame where both a caption and an overlay band appear together to make sure they don't visually collide, so I'm picking a timestamp around t=25 to inspect.
A correção está no arquivo ("é", não "né"), e "computadorizado" — a palavra mais longa — cabe com folga. Vou ver um quadro inteiro com legenda e overlay simultâneos.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\nimport subprocess\nfor t,l in [(25.0,\"stepper\"),(112.0,\"tese\"),(146.0,\"cta\")]:\n subprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-ss\",str(t),\"-i\",\"edit/final_v4.mp4\",\"-frames:v\",\"1\",\n \"-vf\",\"scale=340:-1\",f\"/tmp/full_{l}.jpg\",\"-y\"],check=True)\nsubprocess.run([\"ffmpeg\",\"-v\",\"error\",\"-i\",\"/tmp/full_stepper.jpg\",\"-i\",\"/tmp/full_tese.jpg\",\n \"-i\",\"/tmp/full_cta.jpg\",\"-filter_complex\",\"[0][1][2]hstack=3\",\n \"edit/verify/quadro_completo.jpg\",\"-y\"],check=True)\nprint(\"ok\")\nPY\necho \"=== final ===\" && ffprobe -v error -show_entries stream=codec_type,width,height,r_frame_rate -show_entries format=duration,size -of default=nw=1 edit/final_v4.mp4 | head -6",
"description": "Full-frame check with captions and overlays together",
"timeout": 300000
}ok
=== final ===
codec_type=video
width=1080
height=1920
r_frame_rate=30000/1001
codec_type=audio
r_frame_rate=0/0Read
{
"file_path": "[oculto]/Desktop/aula-edit/edit/verify/quadro_completo.jpg"
}[imagem]raciocínio interno
The full frames look great - the overlay band and caption are well separated with no collision, and the captions read clearly over the shirt in lowercase Montserrat Bold. Since the user asked for a new copy with captions, I should keep the original uncaptioned video too, so I'll save the captioned version as final_legendado.mp4 while leaving final.mp4 untouched.
Checking disk usage: final.mp4 at 176MB, final_legendado.mp4 at 177MB, plus the 342MB caption render track, clips, and animations. I'll keep the caption render file since deleting it would mean a 4-minute re-render if they want to re-composite later, and there's still 12GB free. Time to finalize everything and update project.md.
Perfeito — banda de overlay no topo, legenda em 1210px, sem colisão, e legível sobre a camiseta. Consolidando.
Bash
{
"command": "mv edit/final_v4.mp4 edit/final_legendado.mp4\nrm -f edit/final_v4.prenorm.mp4 /tmp/full_*.jpg /tmp/vf_*.jpg\nls -la edit/final.mp4 edit/final_legendado.mp4 edit/master.srt\necho \"--- disco ---\"; df -h [oculto] | tail -1 | awk '{print $4\" livres\"}'\necho \"--- duracao / loudness ---\"\nffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 edit/final_legendado.mp4\nffmpeg -hide_banner -i edit/final_legendado.mp4 -af ebur128=peak=true -f null - 2>&1 | grep -E \"^\\s+(I:|Peak:)\"",
"description": "Consolidate output and verify final stats",
"timeout": 600000
}-rw-r--r--@ 1 [oculto] staff 184453407 Aug 20 18:44 edit/final.mp4
-rw-r--r--@ 1 [oculto] staff 185680795 Aug 20 22:26 edit/final_legendado.mp4
-rw-r--r--@ 1 [oculto] staff 6051 Aug 20 22:14 edit/master.srt
--- disco ---
11Gi livres
--- duracao / loudness ---
149.482000
I: -14.0 LUFS
Peak: -4.0 dBFSBash
{
"command": "cat >> edit/project.md <<'EOF'\n\n---\n\n## Sessão 4 — 2026-08-20 (mesmo dia)\n\nLegenda queimada, palavra por palavra. Saída: **`edit/final_legendado.mp4`**\n(o `final.mp4` sem legenda foi mantido).\n\n### Não dava para usar ffmpeg — e não é só o libass\n\nConfirmado nesta máquina: **não existe `subtitles`, nem `ass`, nem `drawtext`**,\ne a compilação não tem libass *nem libfreetype/fontconfig*. Não há nenhum filtro\nde texto disponível. Queimar legenda por ffmpeg exigiria outra fórmula.\n\nSolução: renderizar a legenda como **faixa HyperFrames com alpha** (`slot_cap`) e\ncompor por cima. Continua respeitando a Regra Dura nº 1 — legenda por último.\nBônus: Montserrat vem do Google Fonts pelo compilador do HyperFrames (11 faces\ncacheadas), sem precisar instalar fonte no sistema.\n\n### A armadilha de tempo desta sessão\n\nOs 13 slots de animação são ancorados em tempo de **FONTE** e o composite os\nacelera com `setpts=PTS/1.1`. A faixa de legenda nasce em tempo de **SAÍDA**\n(pós-corte, pós-1,1×). Se ela passasse pelo mesmo caminho, sairia 10% adiantada.\n\nPor isso o composite ganhou uma via `captions` separada, que:\n- **não** aplica `setpts` de velocidade;\n- **não** entra na máscara de fosco (legenda não borra o fundo);\n- entra **depois** de todos os overlays.\n\n### Estilo\n\nMontserrat 700, 84px, minúscula, branco. Contorno `-webkit-text-stroke: 3px\nrgba(0,0,0,0.55)` com `paint-order: stroke fill` (sem isso o traço come a\nespessura do glifo) + `text-shadow` suave. Linha centrada em **y=1210** =\n13% da altura do quadro abaixo do centro. Banda de overlay fecha em 614 — sem\ncolisão.\n\nUma palavra fica visível de `word.start` até `min(próxima.start, word.end+0,35s)`:\nsegura em gap curto (não pisca entre palavras), limpa em pausa real.\n\nPontuação: minúscula, aspas removidas, vírgula e ponto finais removidos\n(em palavra-por-palavra viram ruído); `?` e `!` preservados.\n\n### Correções de texto\n\n- O usuário pediu \"legenda 92\", mas **\"Né a síndrome de Gabriela\" é a entrada 93**\n (a 92 é \"que eu sempre fiz\"). Segui pelo texto citado, não pelo número.\n- `Né` → `É` aplicado **nos dois lugares**: no `master.srt` e no word-level que\n gera a legenda queimada.\n\n### Números\n\n417 palavras na legenda (de 528 no transcrito — 79%, batendo com os 76% de tempo\nmantido). Faixa de legenda: 342 MB ProRes 4444, 4m06s de render. Composite com\n13 overlays + legenda numa passada só.\n\n> **Nota:** o transcrito tem 528 palavras, não 1…project.md: 318 linhasSendUserFile
{
"files": [
"[oculto]/Desktop/aula-edit/edit/verify/quadro_completo.jpg",
"[oculto]/Desktop/aula-edit/edit/master.srt"
],
"caption": "A legenda no quadro completo (overlay no topo, legenda a 13% abaixo do centro) e o SRT com a correção. O vídeo tem 177 MB e passa do limite de upload — abra pelo caminho.",
"status": "normal"
}2 files delivered to user.
[oculto]/Desktop/aula-edit/edit/verify/quadro_completo.jpg → file_uuid: d896aa8f-82b4-463e-9c85-5f48036f0acc
[oculto]/Desktop/aula-edit/edit/master.srt → file_uuid: 3cb2380c-b547-4aa8-86f5-feebabcc4720Pronto.
O arquivo novo
[oculto]/Desktop/aula-edit/edit/final_legendado.mp4
2:29,5 · 1080×1920 · 29,97fps · −14,0 LUFS · 177 MB. Como você pediu uma cópia, o final.mp4 sem legenda continua lá, intacto. O vídeo passa do limite de upload, então abre pelo app desktop — mandei aqui o quadro completo e o SRT corrigido para você conferir antes.
Sobre a correção
O texto que você citou é a legenda 93, não a 92 — a 92 é "que eu sempre fiz". Segui pelo texto, que é inequívoco. Apliquei o Né → É nos dois lugares: no master.srt e no nível de palavra que gera a legenda queimada. Conferi no arquivo renderizado: aparece "é".
Estilo
Montserrat Bold 84px, minúscula, palavra por palavra, branco com contorno preto a 55% e sombra suave. Linha centrada em y=1210 — 13% da altura do quadro abaixo do centro. A banda de overlay fecha em 614, então não há colisão.
Cada palavra fica de início até min(próxima palavra, fim + 0,35s): não pisca entre palavras coladas, mas limpa a tela nas pausas reais. Deixei minúscula e tirei aspas, vírgulas e pontos finais — em palavra-por-palavra viram ruído; ? e ! mantive.
Duas coisas que valem saber
O ffmpeg desta máquina não podia queimar legenda de jeito nenhum. Não é só o libass que falta: não há subtitles, ass nem drawtext, e a compilação não tem libfreetype nem fontconfig. Nenhum filtro de texto disponível. Em vez de te pedir para instalar outra fórmula, renderizei a legenda como faixa com alpha no HyperFrames e compus por cima — o que ainda respeita a regra de legenda por último, e trouxe a Montserrat do Google Fonts sem instalar fonte no sistema.
Uma armadilha de tempo que precisou de via separada. As 13 animações são ancoradas em tempo de fonte e o composite as acelera 1,1×. A legenda nasce em tempo de saída, já cortada e acelerada. Se passasse pelo mesmo caminho, sairia 10% adiantada — meio segundo de erro no fim. Criei uma via captions no composite que não acelera, não entra na máscara de vidro e entra depois de tudo.
Também corrigi um número que eu vinha reportando errado: o transcrito tem 528 palavras, não 1055 — o transcribe.py conta as entradas de espaçamento junto. A legenda usa 417 delas, 79% do total, batendo com os 76% de tempo que sobreviveram ao corte.
Quero transformar ESTA sessão do Claude Code numa página HTML legível para projetar numa aula.
- Localize o transcript desta sessão: procure na pasta ~/.claude/projects/ o arquivo .jsonl mais recentemente modificado que corresponda a este projeto/pasta. Se houver dúvida entre dois, me pergunte antes.
- Converta esse .jsonl para um único arquivo HTML limpo e autossuficiente (sem depender de internet), separando visualmente MINHAS mensagens das SUAS respostas, com os blocos de código em fonte monoespaçada e as chamadas de ferramenta recolhidas/discretas para não poluir.
- Estilo pensado para projetor: fundo escuro, texto claro, fonte grande e com bom espaçamento, largura máxima de leitura confortável.
- IMPORTANTE — antes de salvar, limpe dados sensíveis: se aparecer qualquer chave de API, token, senha ou caminho pessoal, substitua por [oculto].
- Salve em uma pasta chamada aula/ e me diga o caminho para eu abrir no navegador.
Vou localizar o transcript desta sessão.
Bash
{
"command": "ls -la ~/.claude/projects/ | head -30; echo \"=== pasta deste projeto ===\"; ls -la ~/.claude/projects/[oculto]/ 2>/dev/null",
"description": "List Claude projects and this project's folder"
}total 0
drwxr-xr-x@ 4 [oculto] staff 128 Aug 20 16:13 [oculto]
drwxr-xr-x@ 3 [oculto] staff 96 Jun 27 12:49 [oculto]
drwxr-xr-x@ 4 [oculto] staff 128 Jul 22 16:53 [oculto]
drwxr-xr-x@ 3 [oculto] staff 96 Jun 27 12:49 [oculto]
drwxr-xr-x@ 4 [oculto] staff 128 Jul 22 17:00 [oculto]
drwxr-xr-x@ 3 [oculto] staff 96 Jul 22 21:03 [oculto]
drwxr-xr-x@ 4 [oculto] staff 128 Aug 7 15:27 [oculto]
drwxr-xr-x@ 7 [oculto] staff 224 Aug 17 13:12 [oculto]
drwx------@ 11 [oculto] staff 352 Aug 12 07:57 [oculto]
drwxr-xr-x@ 11 [oculto] staff 352 Aug 20 16:13 .
drwxr-xr-x@ 18 [oculto] staff 576 Aug 21 11:49 ..
=== pasta deste projeto ===
total 12992
drwxr-xr-x@ 4 [oculto] staff 128 Aug 20 16:13 .
drwxr-xr-x@ 11 [oculto] staff 352 Aug 20 16:13 ..
-rw-------@ 1 [oculto] staff 5630820 Aug 21 11:49 113a82b8-25d3-49ae-b0c6-d5e36d78c483.jsonl
drwxr-xr-x@ 2 [oculto] staff 64 Aug 20 16:13 memorySem ambiguidade: há um único .jsonl nessa pasta, e o UUID bate com o da sessão atual (113a82b8-…, o mesmo do meu diretório de scratchpad). Vou inspecionar a estrutura.
Bash
{
"command": "F=~/.claude/projects/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483.jsonl\nwc -l \"$F\"\necho \"=== tipos de linha ===\"\n~/Developer/video-use/.venv/bin/python - \"$F\" <<'PY'\nimport json,sys,collections\nc=collections.Counter(); roles=collections.Counter(); ctypes=collections.Counter()\nfor line in open(sys.argv[1],encoding=\"utf-8\"):\n line=line.strip()\n if not line: continue\n try: d=json.loads(line)\n except Exception as e: c[\"PARSE_ERROR\"]+=1; continue\n c[d.get(\"type\",\"?\")]+=1\n m=d.get(\"message\")\n if isinstance(m,dict):\n roles[m.get(\"role\",\"?\")]+=1\n cont=m.get(\"content\")\n if isinstance(cont,list):\n for b in cont:\n if isinstance(b,dict): ctypes[b.get(\"type\",\"?\")]+=1\n elif isinstance(cont,str): ctypes[\"str\"]+=1\nprint(\"type:\",dict(c)); print(\"role:\",dict(roles)); print(\"blocos:\",dict(ctypes))\nPY",
"description": "Inspect jsonl structure"
} 1278 [oculto]/.claude/projects/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483.jsonl
=== tipos de linha ===
type: {'queue-operation': 42, 'user': 239, 'attachment': 272, 'last-prompt': 76, 'bridge-session': 76, 'custom-title': 76, 'assistant': 490, 'system': 3, 'atis-latch': 2, 'mode': 2}
role: {'user': 239, 'assistant': 490}
blocos: {'str': 5, 'text': 120, 'tool_use': 234, 'tool_result': 233, 'thinking': 137}Bash
{
"command": "F=~/.claude/projects/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483.jsonl\n~/Developer/video-use/.venv/bin/python - \"$F\" <<'PY'\nimport json,sys\nrows=[json.loads(l) for l in open(sys.argv[1],encoding=\"utf-8\") if l.strip()]\n# chaves de topo de cada tipo\nseen=set()\nfor d in rows:\n t=d.get(\"type\")\n if t in seen: continue\n seen.add(t)\n print(f\"--- type={t} keys={sorted(d.keys())}\")\nprint()\n# quantas mensagens 'user' sao REAIS (string ou lista sem tool_result)\nreal=0; toolres=0\nfor d in rows:\n if d.get(\"type\")!=\"user\": continue\n c=d.get(\"message\",{}).get(\"content\")\n if isinstance(c,str): real+=1\n elif isinstance(c,list):\n if any(isinstance(b,dict) and b.get(\"type\")==\"tool_result\" for b in c): toolres+=1\n else: real+=1\nprint(f\"user reais(aprox)={real} carregando tool_result={toolres}\")\nprint()\n# amostra de um user real\nfor d in rows:\n if d.get(\"type\")==\"user\":\n c=d.get(\"message\",{}).get(\"content\")\n txt = c if isinstance(c,str) else None\n if txt and len(txt)>60:\n print(\"AMOSTRA user:\", json.dumps({k:d.get(k) for k in (\"type\",\"timestamp\",\"isMeta\",\"isSidechain\",\"userType\")},ensure_ascii=False))\n print(repr(txt[:300])); break\nPY",
"description": "Sample entry shapes and count real user turns"
}--- type=queue-operation keys=['content', 'operation', 'sessionId', 'timestamp', 'type']
--- type=user keys=['cwd', 'entrypoint', 'gitBranch', 'isSidechain', 'message', 'origin', 'parentUuid', 'permissionMode', 'promptId', 'promptSource', 'sessionId', 'timestamp', 'type', 'userType', 'uuid', 'version']
--- type=attachment keys=['attachment', 'cwd', 'entrypoint', 'gitBranch', 'isSidechain', 'parentUuid', 'sessionId', 'timestamp', 'type', 'userType', 'uuid', 'version']
--- type=last-prompt keys=['lastPrompt', 'leafUuid', 'sessionId', 'type']
--- type=bridge-session keys=['bridgeSessionId', 'lastSequenceNum', 'ownerAccountUuid', 'ownerOrganizationUuid', 'sessionId', 'type']
--- type=custom-title keys=['customTitle', 'sessionId', 'type']
--- type=assistant keys=['cwd', 'effort', 'entrypoint', 'gitBranch', 'isSidechain', 'message', 'parentUuid', 'requestId', 'sessionId', 'timestamp', 'type', 'userType', 'uuid', 'version']
--- type=system keys=['cwd', 'entrypoint', 'gitBranch', 'hasOutput', 'hookAdditionalContext', 'hookCount', 'hookErrors', 'hookInfos', 'isSidechain', 'level', 'parentUuid', 'preventedContinuation', 'sessionId', 'stopReason', 'subtype', 'timestamp', 'toolUseID', 'type', 'userType', 'uuid', 'version']
--- type=atis-latch keys=['atis', 'sessionId', 'type']
--- type=mode keys=['mode', 'sessionId', 'type']
user reais(aprox)=6 carregando tool_result=234
AMOSTRA user: {"type": "user", "timestamp": "2026-08-20T19:13:03.296Z", "isMeta": null, "isSidechain": false, "userType": "external"}
'Edite o video que esta na pasta que selecionei, usando a skill do\nvideo-use.\n\nCorte os silencios e os trechos onde eu errei e repeti a frase.\n\nAplique um zoom de pelo menos 25% nos momentos em que eu enfatizo o ponto principal.\nPara os titulos e destaques, use o HyperFrames e crie os overlays no\nest'6 turnos reais de usuário — bate exatamente com esta conversa. Antes de converter, vou varrer o arquivo em busca do que precisa ser ocultado.
Bash
{
"command": "F=~/.claude/projects/[oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483.jsonl\n~/Developer/video-use/.venv/bin/python - \"$F\" <<'PY'\nimport json,sys,re,collections\nraw=open(sys.argv[1],encoding=\"utf-8\").read()\npats={\n \"chave sk-/xi- literal\": r'\\b(?:sk|xi)[-_][A-Za-z0-9]{20,}\\b',\n \"hex longo (>=32)\": r'\\b[0-9a-f]{32,}\\b',\n \"email\": r'\\b[\\w.+-]+@[\\w-]+\\.[\\w.]+\\b',\n \"ELEVENLABS_API_KEY=\": r'ELEVENLABS_API_KEY\\s*=\\s*\\S+',\n \"Bearer/token=\": r'(?i)\\b(?:bearer|token|passwd|password|senha)\\s*[:=]\\s*\\S{8,}',\n \"request_id\": r'request_id\"\\s*:\\s*\"[0-9a-f]+\"',\n \"/Users/<user>\": r'/Users/[A-Za-z0-9._-]+',\n \"/Volumes/<drive>\": r'/Volumes/[A-Za-z0-9 ._-]+',\n}\nfor name,p in pats.items():\n hits=re.findall(p,raw)\n cnt=collections.Counter(hits)\n print(f\"\\n### {name}: {len(hits)} ocorrencias, {len(cnt)} distintas\")\n for v,n in cnt.most_common(6):\n v=v if len(v)<70 else v[:67]+\"...\"\n print(f\" {n:5d}x {v}\")\nPY",
"description": "Scan transcript for sensitive data"
}### chave sk-/xi- literal: 0 ocorrencias, 0 distintas
### hex longo (>=32): 4 ocorrencias, 2 distintas
2x [oculto]
2x [oculto]
### email: 73 ocorrencias, 7 distintas
40x hyperframes@0.7.102
25x gsap@3.14.2
2x red@0.38
2x boolean@3.2.0
2x node-domexception@1.0.0
1x red@0.35
### ELEVENLABS_API_KEY=: 1 ocorrencias, 1 distintas
1x ELEVENLABS_API_KEY=\":
### Bearer/token=: 0 ocorrencias, 0 distintas
### request_id: 0 ocorrencias, 0 distintas
### /Users/<user>: 1298 ocorrencias, 1 distintas
1298x [oculto]
### /Volumes/<drive>: 22 ocorrencias, 2 distintas
20x [oculto]
2x /Volumes/DataVarredura limpa e reveladora:
- Nenhuma chave de API literal no arquivo (o
.envsempre foi lido por variável de shell). - Os "emails" são todos falsos positivos —
hyperframes@0.7.102,gsap@3.14.2. Não posso ocultá-los, são justamente o conteúdo didático. - A ocultar de fato: dois
request_idda ElevenLabs,[oculto](1298x) e[oculto].
Vou ocultar só o prefixo pessoal dos caminhos, preservando a estrutura — [oculto]/Desktop/aula-edit/edit/final.mp4 ainda ensina; [oculto] sozinho não.
Write
{
"file_path": "[oculto]/Desktop/aula-edit/aula/gerar_html.py",
"content": "\"\"\"Converte o transcript .jsonl desta sessao do Claude Code numa pagina HTML\nautossuficiente, pensada para projetar em aula.\n\n ~/Developer/video-use/.venv/bin/python aula/gerar_html.py\n\nSem dependencia de rede: nenhuma fonte, script ou folha de estilo externa. O\nmarkdown das respostas e renderizado por um conversor proprio (abaixo), porque\npuxar uma lib de markdown de CDN quebraria o requisito de autossuficiencia.\n\"\"\"\nfrom __future__ import annotations\n\nimport html\nimport json\nimport re\nfrom datetime import datetime\nfrom pathlib import Path\n\nSRC = (Path.home() / \".claude\" / \"projects\" /\n \"[oculto]\" /\n \"113a82b8-25d3-49ae-b0c6-d5e36d78c483.jsonl\")\nOUT = Path(__file__).resolve().parent / \"sessao.html\"\n\nTOOL_RESULT_CAP = 3500 # tool result muito longo vira ruido no projetor\nTOOL_INPUT_CAP = 2500\n\n\n# --------------------------------------------------------------- redacao\n# Ordem importa: o prefixo pessoal sai ANTES de qualquer coisa que possa\n# reconstrui-lo. E o padrao de email e restrito a TLD alfabetico, senao\n# `hyperframes@0.7.102` e `gsap@3.14.2` seriam \"redigidos\" — e sao exatamente\n# o conteudo que a aula quer mostrar.\nREDACTIONS: list[tuple[re.Pattern, str]] = [\n (re.compile(r'[oculto]'), '[oculto]'),\n (re.compile(r'/Users/[A-Za-z0-9._-]+'), '[oculto]'),\n (re.compile(r'\\b(?:sk|xi|ghp|gho|pat)[-_][A-Za-z0-9_-]{16,}\\b'), '[oculto]'),\n (re.compile(r'(?i)\\b(authorization|api[-_ ]?key|x-api-key|xi-api-key|token|'\n r'senha|password|passwd|secret)\\b(\\s*[:=]\\s*)([\"\\']?)[^\\s\"\\',;]{8,}\\3'),\n r'\\1\\2[oculto]'),\n (re.compile(r'\\b[0-9a-f]{32,}\\b'), '[oculto]'),\n (re.compile(r'\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,24}\\b'), '[oculto]'),\n]\n\n\ndef redact(s: str) -> str:\n if not s:\n return s\n for pat, rep in REDACTIONS:\n s = pat.sub(rep, s)\n return s\n\n\n# --------------------------------------------------------------- markdown\nFENCE = re.compile(r'```([A-Za-z0-9_+-]*)\\n(.*?)```', re.S)\n\n\ndef _inline(t: str) -> str:\n t = re.sub(r'`([^`]+)`', lambda m: f'<code>{m.group(1)}</code>', t)\n t = re.sub(r'\\*\\*(.+?)\\*\\*', r'<strong>\\1</strong>', t)\n t = re.sub(r'(?<![\\w*])\\*(?!\\s)(.+?)(?<!\\s)\\*(?![\\w*])', r'<em>\\1</em>', t)\n t = re.sub(r'\\[([^\\]]+)\\]\\(([^)]+)\\)', r'<span class=\"lnk\">\\1</sp…File created successfully at: [oculto]/Desktop/aula-edit/aula/gerar_html.py (file state is current in your context — no need to Read it back)Bash
{
"command": "~/Developer/video-use/.venv/bin/python aula/gerar_html.py",
"description": "Generate the HTML page",
"timeout": 300000
}[oculto]/Desktop/aula-edit/aula/sessao.html (627 KB)
6 perguntas · 238 chamadas de ferramenta · 135 blocos de raciocínioGerado. Agora a auditoria — primeiro se a redação pegou tudo, depois se é mesmo autossuficiente.
Bash
{
"command": "F=aula/sessao.html\necho \"=== vazamentos ===\"\nfor p in \"[oculto]\" \"[oculto]\" \"/Users/\" \"ELEVENLABS_API_KEY=[^\\\"\\\\\\\\]\" \"sk-\" \"xi-api-key: [^\\$]\"; do\n n=$(grep -o -E \"$p\" \"$F\" 2>/dev/null | wc -l | tr -d ' ')\n printf \" %-32s %s\\n\" \"$p\" \"$n\"\ndone\necho \" hex>=32: $(grep -o -E '\\b[0-9a-f]{32,}\\b' $F | wc -l | tr -d ' ')\"\necho \"=== recursos externos (deve ser 0) ===\"\ngrep -o -E '(src|href)=\"https?://[^\"]+\"' \"$F\" | sort -u | head\ngrep -c -E '@import|fonts\\.googleapis|cdn\\.' \"$F\" || echo \" 0 imports/CDN\"\necho \"=== conteudo didatico preservado ===\"\nfor p in \"hyperframes@0.7.102\" \"gsap@3.14.2\" \"atempo\" \"colorchannelmixer\" \"yuva444p12le\"; do\n printf \" %-24s %s\\n\" \"$p\" \"$(grep -o -F \"$p\" $F | wc -l | tr -d ' ')\"\ndone",
"description": "Audit redaction and self-containment"
}=== vazamentos ===
[oculto] 113
[oculto] 0
/Users/ 4
ELEVENLABS_API_KEY=[^"\\] 1
sk- 2
xi-api-key: [^$] 0
hex>=32: 0
=== recursos externos (deve ser 0) ===
11
=== conteudo didatico preservado ===
hyperframes@0.7.102 26
gsap@3.14.2 11
atempo 33
colorchannelmixer 12
yuva444p12le 10Três problemas. Vou olhar cada um.
Bash
{
"command": "F=aula/sessao.html\necho \"=== onde '[oculto]' sobrevive ===\"\ngrep -o -E '.{28}[oculto].{18}' \"$F\" | sed 's/^/ /' | sort | uniq -c | sort -rn | head -8\necho; echo \"=== '/Users/' restante ===\"\ngrep -o -E '.{12}[oculto]{22}' \"$F\" | sed 's/^/ /' | sort -u | head\necho; echo \"=== 'sk-' ===\"\ngrep -o -E '.{16}sk-.{16}' \"$F\" | sed 's/^/ /' | sort -u | head\necho; echo \"=== links externos: dentro de <pre>? ===\"\ngrep -o -E '(src|href)=\"https?://[^\"]+\"' \"$F\" | sort | uniq -c",
"description": "Locate remaining sensitive strings"
}=== onde '[oculto]' sobrevive ===
44 ivate/tmp/claude-501/[oculto]
3 F=~/.claude/projects/[oculto]
2 ="code"><code>-rw-r--r--@ 1 [oculto] staff 184453407
1 to]/.claude/projects/[oculto]
1 ot; /\n \"[oculto]
1 ff 128 Jul 22 16:53 [oculto]
1 ff 128 Aug 20 16:13 [oculto]
1 ff 96 Jun 27 12:49 [oculto]
=== '/Users/' restante ===
r'/Users/[A-Za-z0-9._-]+',
;,\n \"/Users/<user>\":
pile(r'/Users/[A-Za-z0-9._-]+')
=== 'sk-' ===
<code>### chave sk-/xi- literal: 0
\n \"chave sk-/xi- literal\&qu
=== links externos: dentro de <pre>? ===Diagnóstico claro. Três coisas escaparam e uma é falso alarme:
[oculto]…— a forma "achatada" do caminho (44x), que meu regex de/Users/não pega.1 [oculto] staff— o nome de usuário como dono do arquivo na saída dols./Users/esk-restantes são o meu próprio código de redação exibido como texto — padrões, não dados.- Links externos: zero de verdade. Os
cdn.jsdelivrestão escapados dentro de<pre>, como conteúdo.
Vou corrigir os dois primeiros derivando o nome da conta do sistema, em vez de escrevê-lo no script.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"aula/gerar_html.py\"; s=open(p).read()\nold=\"\"\"REDACTIONS: list[tuple[re.Pattern, str]] = [\n (re.compile(r'[oculto]'), '[oculto]'),\n (re.compile(r'/Users/[A-Za-z0-9._-]+'), '[oculto]'),\"\"\"\nnew=\"\"\"# O nome da conta vem do sistema, nao escrito aqui: alem de nao vazar no\n# proprio script, funciona para qualquer maquina.\nUSER = Path.home().name\n\nREDACTIONS: list[tuple[re.Pattern, str]] = [\n # Forma \"achatada\" que o Claude Code usa para nomear a pasta do projeto\n # ([oculto]). Nao e coberta pelo padrao de caminho normal.\n (re.compile(r'-(?:Users|Volumes)-[A-Za-z0-9._-]+'), '[oculto]'),\n (re.compile(r'[oculto]'), '[oculto]'),\n (re.compile(r'/Users/[A-Za-z0-9._-]+'), '[oculto]'),\n # O login sozinho, como dono do arquivo na saida do `ls -la`.\n (re.compile(r'\\\\b' + re.escape(USER) + r'\\\\b'), '[oculto]'),\"\"\"\nassert old in s\ns=s.replace(old,new)\nopen(p,\"w\").write(s)\nprint(\"regras adicionadas\")\nPY\n~/Developer/video-use/.venv/bin/python aula/gerar_html.py",
"description": "Add flattened-path and username redaction rules",
"timeout": 300000
}regras adicionadas
[oculto]/Desktop/aula-edit/aula/sessao.html (632 KB)
6 perguntas · 241 chamadas de ferramenta · 135 blocos de raciocínioBash
{
"command": "F=aula/sessao.html\necho \"=== auditoria final ===\"\nprintf \" %-30s %s\\n\" \"[oculto]\" \"$(grep -o -F '[oculto]' $F | wc -l | tr -d ' ')\"\nprintf \" %-30s %s\\n\" \"[oculto]\" \"$(grep -o -F '[oculto]' $F | wc -l | tr -d ' ')\"\nprintf \" %-30s %s\\n\" \"-Users-\" \"$(grep -o -F -- '-Users-' $F | wc -l | tr -d ' ')\"\nprintf \" %-30s %s\\n\" \"-Volumes-\" \"$(grep -o -F -- '-Volumes-' $F | wc -l | tr -d ' ')\"\nprintf \" %-30s %s\\n\" \"hex>=32\" \"$(grep -o -E '\\b[0-9a-f]{32,}\\b' $F | wc -l | tr -d ' ')\"\nprintf \" %-30s %s\\n\" \"recursos externos reais\" \"$(grep -o -E '<(script|link|img)[^>]+(src|href)=\"https?://' $F | wc -l | tr -d ' ')\"\necho\necho \"=== conteudo didatico ainda intacto ===\"\nfor p in \"hyperframes@0.7.102\" \"gsap@3.14.2\" \"atempo=1.1\" \"yuva444p12le\" \"Montserrat\" \"colorchannelmixer\"; do\n printf \" %-24s %s\\n\" \"$p\" \"$(grep -o -F \"$p\" $F | wc -l | tr -d ' ')\"\ndone\necho\necho \"=== amostra de caminho redigido ===\"\ngrep -o -E '\\[oculto\\][/A-Za-z0-9._-]{0,44}' $F | sort | uniq -c | sort -rn | head -5",
"description": "Final redaction audit"
}=== auditoria final ===
[oculto] 0
[oculto] 2
-Users- 0
-Volumes- 0
hex>=32 0
recursos externos reais 0
=== conteudo didatico ainda intacto ===
hyperframes@0.7.102 28
gsap@3.14.2 13
atempo=1.1 5
yuva444p12le 12
Montserrat 27
colorchannelmixer 14
=== amostra de caminho redigido ===
112 [oculto]
44 [oculto]/113a82b8-25d3-49ae-b0c6-d5e36d78c483/tasks/
18 [oculto]/Desktop/aula-edit/edit/build.py
16 [oculto]/Video
14 [oculto]/Desktop/aula-editQuase limpo. Restam duas ocorrências de "[oculto]" — vou ver onde.
Bash
{
"command": "grep -o -E '.{55}[oculto].{30}' aula/sessao.html | sed 's/^/ /'",
"description": "Locate remaining [oculto] mentions"
} tos ===\"\nfor p in \"[oculto]\" \"[oculto]\" \"/Users/\"São as duas ocorrências dentro do meu próprio comando de auditoria exibido como texto — o padrão de busca, não o caminho. Não vaza nada, mas num projetor parece vazamento. Vou limpar também.
Bash
{
"command": "~/Developer/video-use/.venv/bin/python - <<'PY'\np=\"aula/gerar_html.py\"; s=open(p).read()\ns=s.replace(\"\"\" (re.compile(r'[oculto]'), '[oculto]'),\"\"\",\n \"\"\" # O nome do HD externo carrega o nome da pessoa; pega tambem quando\n # aparece solto (ex.: dentro de um comando de busca citado no transcript).\n (re.compile(r'/?[oculto](?: \\\\d+)?'), '[oculto]'),\n (re.compile(r'\\\\bHD Saulo(?: \\\\d+)?\\\\b'), '[oculto]'),\"\"\")\nopen(p,\"w\").write(s)\nPY\n~/Developer/video-use/.venv/bin/python aula/gerar_html.py\necho \"=== auditoria ===\"\nfor p in \"[oculto]\" \"[oculto]\" \"-Users-\" \"-Volumes-\"; do\n printf \" %-16s %s\\n\" \"$p\" \"$(grep -o -F -- \"$p\" aula/sessao.html | wc -l | tr -d ' ')\"\ndone\nprintf \" %-16s %s\\n\" \"hex>=32\" \"$(grep -o -E '\\b[0-9a-f]{32,}\\b' aula/sessao.html | wc -l | tr -d ' ')\"\nprintf \" %-16s %s\\n\" \"recursos ext\" \"$(grep -o -E '<(script|link|img)[^>]+(src|href)=\"https?://' aula/sessao.html | wc -l | tr -d ' ')\"",
"description": "Add drive-name rule and re-audit",
"timeout": 300000
}