Checklist the per-video bar — engine/sim
76.7/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-receipts-W26-Fri good|bad)⚠ 6 flag(s) — not yet ship-ready: low_vo_coveragedead_airgeneric_scene · see docs/strategy/VIDEO-CHECKLIST.md
Composition comp · template family · expected output
9:16 Reelrendered1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.
Composition layer × scene 5 scenes · 25.6s · comp_id + rendered still + tier + the script
| # | Layer (comp_id · still · tier) | Beat | Timecode | Motion | Logo | Audio | VO / on-screen / caption |
|---|---|---|---|---|---|---|---|
| 1 |  matches intent StatScoreboard template | stat | 0–5.6s | receipts-count | icon·liquid-chrome | ♪ node_lock | An edit that took seven hours now takes seven minutes. Same footage, same cut quality. on-screen: 7 hours to 7 minutes. |
expected on screen: red ground · a StatScoreboard panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape boxground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→7 hours to 7 minutes.curate pillar, stats, statsLabels | |||||||
| 2 |  matches intent ComparisonTable template | proof | 5.6–10.6s | receipts-count | icon·white-knockout | ♪ node_lock | The old way was scrubbing the timeline frame by frame. Now Whisper transcribes the audio and you cut on the words. on-screen: Whisper finds the cut. |
expected on screen: red ground · a ComparisonTable panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape boxground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Whisper finds the cut.curate colA, colB, rows, statsLabels | |||||||
| 3 |  first render · fix pending StackTrace templatedead_air | diff | 10.6–15.6s | crossfade-8f | icon·liquid-chrome | ♪ node_lock | Soon you will edit video by editing a script. Delete a line of text and the matching clip drops out of the cut. on-screen: Cut from the text. |
expected on screen: red ground · a StackTrace panel over a dimmed Signal Field · Faber leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id StackTracevisual codeshape boxground redtreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Cut from the text.curate codeLines, errMsg, errType, fix, frames | |||||||
| 4 |  first render · fix pending StepFlow templatedead_airgeneric_scene | step | 15.6–20.6s | kinetic-build | icon·white-knockout | ♪ node_lock | Receipts |
expected on screen: red ground · a StepFlow panel over a dimmed Signal Field · Faber leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id StepFlowvisual pipelineshape boxground redtreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Receiptscurate stages, steps | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 20.6–25.6s | coalescence | icon·liquid-chrome | ♪ bed_out | Receipts |
expected on screen: red ground · box hero in the shared Signal Field · Faber leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape boxground redtreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→Receipts | |||||||
Format stack 3 aspects · same scenes[], re-cropped
9:16
1080×1920
Stories · TikTok · YouTube Shorts · Reels
1:1
1080×1080
LinkedIn · Facebook · Instagram
16:9
1920×1080
X/Twitter · YouTube · LinkedIn video
Channels 9 destinations
LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBluesky
Social captions supplemental published copy · per channel (comp_id level)
tiktokReceipt: an edit that took seven hours now takes seven minutes. Same footage, same cut quality. The old way was scrubbing the timeline frame by frame. Now Whisper transcribes the audio and you cut on the words. Soon you edit video by editing a script. (AI-assisted)
instagramReceipt:
7 hours to 7 minutes.
Same footage. Same cut quality.
Old way: scrub the timeline frame by frame.
New way: Whisper transcribes the audio, you cut on the words.
Next: edit video by editing a script.
#videoediting #whisper #aiworkflow #contentops #receipts
linkedinA receipt, not a claim: an edit that took seven hours now takes seven minutes. Same footage, same cut quality.
The old way was scrubbing the timeline frame by frame. Now Whisper transcribes the audio and you cut on the words instead of the waveform. Delete a line of text, the matching clip drops out.
The direction this points: soon you will edit video by editing a script. The method is yours to copy.
xReceipt: an edit that took 7 hours now takes 7 minutes. Same footage, same cut quality. Old way: scrub frame by frame. New way: Whisper transcribes, you cut on the words.
facebookHere is a real receipt: an edit that used to take seven hours now takes seven minutes, with the same footage and the same cut quality. The old way was scrubbing the timeline frame by frame. Now Whisper transcribes the audio and you cut on the words. Soon you will edit video by editing a script. Try transcribing your next edit first.
threadsReceipt: an edit that took seven hours now takes seven minutes.
Same footage. Same cut quality.
The old way was scrubbing the timeline frame by frame. Now Whisper transcribes the audio and you cut on the words. Soon you edit video by editing a script.
pinterestHow AI cut a seven-hour video edit down to seven minutes with the same quality: use Whisper to transcribe the audio, then edit on the words instead of scrubbing the timeline frame by frame. A real receipt and method for faster video editing workflows.
blueskyReceipt: an edit that took 7 hours now takes 7 minutes. Same footage, same cut quality. Old way: scrub frame by frame. New way: Whisper transcribes, you cut on the words.
youtubeTitle: 7 Hours To 7 Minutes: How We Cut Video By Editing Text
Here is a real receipt: an edit that took seven hours now takes seven minutes, same footage and same cut quality. The old way was scrubbing the timeline frame by frame. Now Whisper transcribes the audio and you cut on the words instead of the waveform. Soon you will edit video by editing a script: delete a line of text and the matching clip drops out of the cut. The method is yours to copy.