Checklist the per-video bar — engine/sim
98.4/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W23-Wed-2 good|bad)⚠ 1 flag(s) — not yet ship-ready: copy_generic · see docs/strategy/VIDEO-CHECKLIST.md
Composition comp · template family · expected output
9:16 Reelrendered1:1 Squarerendered16:9 Widerendered9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
expected output: 3/7 rendered — same matrix the /media preview surfaces for this asset.
Composition layer × scene 9 scenes · 48.4s · comp_id + rendered still + tier + the script
| # | Layer (comp_id · still · tier) | Beat | Timecode | Motion | Logo | Audio | VO / on-screen / caption |
|---|---|---|---|---|---|---|---|
| 1 |  matches intent shared field signature-3d | open | 0–5.0s | spatial-parallax | icon·ember-fill | ♪ bed_in | A photo shoot used to mean hours picking keepers from a thousand frames. on-screen: Shoots meant hours of culling |
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · node-graph · spatial-parallax · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape octaground whitetreatment ember-fillmotion spatial-parallaxpower summoninstrument summon→Shoots meant hours of culling | |||||||
| 2 |  matches intent shared field signature-3d | hook | 5.0–10.0s | kinetic-build | icon·color | ♪ node_lock | The good shots got buried in a folder nobody opened again. on-screen: Good shots buried in the dump |
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · mark · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape octaground whitetreatment colormotion kinetic-buildpower laser-lockinstrument laser-trace→Good shots buried in the dump | |||||||
| 3 |  matches intent NumberedList template | teach | 10.0–16.1s | kinetic-build | icon·color | ♪ node_lock | The move: tag photos by subject and use right as they come off the card. on-screen: Tag every photo as you shoot |
expected on screen: white ground · a NumberedList panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape octaground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Tag every photo as you shootcurate items, nodes | |||||||
| 4 |  matches intent ComparisonTable template | proof | 16.1–21.1s | receipts-count | icon·color | ♪ node_lock | Tags turn a dead photo dump into a library you can actually search. on-screen: Tags make the archive findable |
expected on screen: white ground · a ComparisonTable panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·color logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape octaground whitetreatment colormotion receipts-countpower receiptsinstrument spotlight→Tags make the archive findablecurate colA, colB, rows, statsLabels | |||||||
| 5 |  matches intent LogStream template | diff | 21.1–27.6s | crossfade-8f | icon·color | ♪ node_lock | Old way: cull until 3 a.m. We let a model do the first rough pass. on-screen: We don't cull all night |
expected on screen: white ground · a LogStream panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·color logo · caption bottom-left spec (the prompt): comp_id LogStreamvisual codeshape octaground whitetreatment colormotion crossfade-8fpower morphinstrument morph→We don't cull all nightcurate codeLines, rows | |||||||
| 6 |  matches intent ChecklistCard template | teach | 27.6–32.7s | kinetic-build | icon·color | ♪ node_lock | Now AI flags the sharp, eyes-open frames and tosses the blinks. on-screen: AI flags the sharp, open-eyed shots |
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→AI flags the sharp, open-eyed shotscurate items, nodes | |||||||
| 7 |  matches intent KpiGrid template | proof | 32.7–37.7s | receipts-count | icon·color | ♪ node_lock | It groups near-identical shots so you pick one, not scroll twenty. on-screen: It clusters the near-duplicates |
expected on screen: white ground · a KpiGrid panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·color logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape octaground whitetreatment colormotion receipts-countpower receiptsinstrument spotlight→It clusters the near-duplicatescurate kpis, statsLabels | |||||||
| 8 |  matches intent BlueprintGrid template | step | 37.7–43.1s | kinetic-build | icon·color | ♪ node_lock | Step: keep one tight named set per use, not the whole messy folder. on-screen: Keep a tight, named set |
expected on screen: white ground · a BlueprintGrid panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id BlueprintGridvisual pipelineshape octaground whitetreatment colormotion kinetic-buildpower throwinstrument laser-trace→Keep a tight, named setcurate rows, stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 43.1–48.4s | coalescence | icon·ember-fill | ♪ bed_out | Soon you find any photo in seconds. The Big T-M tags it as you shoot. on-screen: Find any photo in seconds |
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground whitetreatment ember-fillmotion coalescencepower coalescenceinstrument coalescence→Find any photo in seconds | |||||||
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)
tiktokSpending hours culling a thousand photos? Tag by subject AS you shoot, let AI flag the sharp, eyes-open frames, and keep one tight named set per use. (AI-assisted) #photography
instagramThe good shots got buried in a dead folder.
Tag photos as you shoot.
Let AI flag the sharp, eyes-open frames.
#photography #photo #photographer #editing #ai
linkedinA photo shoot used to mean hours picking keepers from a thousand frames, and the good shots got buried in a folder nobody opened again. Tag photos by subject and use right as they come off the card, so a dead dump becomes a library you can search. And instead of culling until 3 a.m., let a model do the rough pass: it flags the sharp, eyes-open frames, tosses the blinks, and groups near-identical shots so you pick one, not twenty. Keep one tight named set per use, and you'll find any photo in seconds.
xHours culling a thousand photos? Tag as you shoot, let AI flag the keepers, keep one named set. temerarii.com
facebookHours culling a thousand frames, and the good shots get buried forever. Tag photos by subject as you shoot so the archive is searchable, then let AI flag the sharp, eyes-open frames and group the near-duplicates. Keep one tight named set per use. Want findable photos? Visit temerarii.com.
threadsGood shots used to get buried in a folder nobody reopened.
Tag photos by subject as you shoot, let AI flag the sharp, eyes-open frames, and group the near-duplicates so you pick one, not twenty.
Find any photo in seconds.
pinterestPhotography workflow tips: tag photos by subject and intended use as they come off the card to build a searchable archive, use AI to flag sharp, eyes-open frames and discard blinks, and cluster near-duplicate shots so you keep one tight named set per use. Faster photo culling and organization for photographers.
blueskyHours culling a thousand photos? Tag as you shoot, let AI flag the keepers, keep one tight set. temerarii.com
youtubeStop Culling Photos Until 3 AM: Tag As You Shoot + AI Rough Pass
Good shots get buried in dead folders. Tag by subject as you shoot, let AI flag the sharp, eyes-open frames and cluster duplicates, and keep one tight named set per use. Find any photo in seconds. AI-assisted production. More at temerarii.com.