Checklist the per-video bar — engine/sim
79.0/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W27-Mon good|bad)⚠ 7 flag(s) — not yet ship-ready: copy_genericlow_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 · 30.8s · 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 | hook | 0–6.4s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Upload your CRM and AI will read minds, they claim. It cannot read a field you never filled in. on-screen: "AI knows your customers" |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape dodecaground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI knows your customers" | |||||||
| 2 |  matches intent TerminalRun template | diff | 6.4–15.8s | crossfade-8f | icon·white-knockout | ♪ node_lock | What works: enrich the records with real firmographics, then let the model segment by behavior you actually logged. Clean inputs, useful clusters. on-screen: Enrich, then segment |
expected on screen: red ground · a TerminalRun panel over a dimmed Signal Field · Mensor leads · code · crossfade-8f · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id TerminalRunvisual codeshape dodecaground redtreatment white-knockoutmotion crossfade-8fpower morphinstrument morph→Enrich, then segmentcurate codeLines | |||||||
| 3 |  first render · fix pending ChecklistCard templatedead_air | teach | 15.8–20.8s | kinetic-build | icon·liquid-chrome | ♪ node_lock | The cost is the boring cleanup: dedupe the rows, fix the empty fields, and tag each record before the model ever sees it. on-screen: The cost: clean records |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape dodecaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→The cost: clean recordscurate items, nodes | |||||||
| 4 |  first render · fix pending RankList templatedead_airgeneric_scene | proof | 20.8–25.8s | receipts-count | icon·white-knockout | ♪ node_lock | Minus the Hype |
expected on screen: red ground · a RankList panel over a dimmed Signal Field · Mensor leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape dodecaground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate rows, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 25.8–30.8s | coalescence | icon·white-knockout | ♪ bed_out | Minus the Hype |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape dodecaground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Minus the Hype | |||||||
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)
tiktok"Upload your CRM and AI reads your customers' minds." It cannot read a field you never filled in. What works: enrich records with real firmographics, then segment by behavior you logged. (AI-assisted)
instagram"AI knows your customers."
It cannot read a field you never filled in.
What works:
Enrich the records with real firmographics.
Then segment by behavior you actually logged.
The cost is the boring data cleanup.
#aimarketing #crm #datacleanup #minustthehype #segmentation
linkedin"Upload your CRM and AI will read your customers' minds."
It cannot read a field you never filled in. Garbage in stays garbage.
Here is what actually works: enrich the records with real firmographics first, then let the model segment by behavior you genuinely logged. Clean inputs, useful clusters.
The cost nobody sells you is the unglamorous data cleanup. That is the whole job.
x"AI reads your customers' minds from your CRM." It can't read a field you never filled in. Enrich with real firmographics, then segment by logged behavior. The cost is the boring cleanup.
facebookHere is a claim worth ignoring: upload your CRM and AI will read your customers' minds. It cannot read a field you never filled in. What actually works is enriching the records with real firmographics, then letting the model segment by behavior you logged. The cost is the boring data cleanup. Try cleaning ten records before you trust any clusters.
threads"Upload your CRM and AI reads your customers' minds."
It cannot read a field you never filled in.
What works: enrich the records with real firmographics, then segment by behavior you actually logged. Clean inputs, useful clusters.
The cost is the boring data cleanup. That part never shows up in the pitch.
pinterestHow to use AI for customer segmentation the honest way. AI cannot read a CRM field you never filled in. Enrich your records with real firmographics first, then segment by logged behavior for useful clusters. The real cost is the data cleanup, not the model.
bluesky"AI reads your customers' minds from your CRM." It can't read a field you never filled in. Enrich with real firmographics, then segment by logged behavior. The cost is the boring cleanup.
youtubeTitle: AI Customer Segmentation: What Actually Works (Minus The Hype)
The claim is that you upload your CRM and AI reads your customers' minds. It cannot read a field you never filled in. What actually works is enriching the records with real firmographics, then letting the model segment by behavior you genuinely logged. Clean inputs give you useful clusters. The cost nobody mentions is the unglamorous data cleanup.