Checklist the per-video bar — engine/sim
81.3/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W33-Thu good|bad)⚠ 6 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 · 28.1s · 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 | 0–5.3s | kinetic-build | icon·liquid-chrome | ♪ node_lock | AI will optimize your funnel overnight, they say. It cannot fix a funnel you never measured. on-screen: "AI fixes your funnel" |
expected on screen: red ground · box hero in the shared Signal Field · Faber leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape boxground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI fixes your funnel" | |||||||
| 2 |  matches intent DiffCard template | diff | 5.3–13.1s | crossfade-8f | icon·white-knockout | ♪ node_lock | What works: fire a GA4 event at every step, find the biggest drop, then let AI suggest copy for that one step. on-screen: Instrument every step |
expected on screen: red ground · a DiffCard panel over a dimmed Signal Field · Faber leads · code · crossfade-8f · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id DiffCardvisual codeshape boxground redtreatment white-knockoutmotion crossfade-8fpower morphinstrument morph→Instrument every stepcurate codeLines, lines | |||||||
| 3 |  matches intent NumberedList template | teach | 13.1–18.1s | kinetic-build | icon·liquid-chrome | ♪ node_lock | The cost is the events you have to add at each step before any model has data to read. on-screen: The cost: real events |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape boxground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→The cost: real eventscurate items, nodes | |||||||
| 4 |  first render · fix pending RankList templatedead_airgeneric_scene | proof | 18.1–23.1s | receipts-count | icon·white-knockout | ♪ node_lock | Minus the Hype |
expected on screen: red ground · a RankList panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape boxground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate rows, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 23.1–28.1s | coalescence | icon·liquid-chrome | ♪ bed_out | Minus the Hype |
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→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)
tiktokThey say AI will optimize your funnel overnight. It can't fix a funnel you never measured. Fire a GA4 event at every step, find the biggest drop, then let AI suggest copy for that one step. The cost is the events you add first. (AI-assisted)
instagram"AI fixes your funnel."
It can't fix what you never measured.
Fire a GA4 event at every step.
Find the biggest drop.
Let AI suggest copy for that one step.
#ai #ga4 #funnel #analytics #cro
linkedinThe claim: AI will optimize your funnel overnight.
It can't fix a funnel you never measured. Here's the method: fire a GA4 event at every step, find the biggest drop, then let AI suggest copy for that one step. Not the whole funnel. The one step that's leaking.
The cost is the events you have to add before any model helps. That instrumentation is the work, and it's the part the hype skips.
x"AI will optimize your funnel overnight." It can't fix a funnel you never measured. Fire a GA4 event at each step, find the biggest drop, let AI rewrite copy for that one step. temerarii.com/work
facebookThey say AI will optimize your funnel overnight. It can't fix a funnel you never measured. The method: fire a GA4 event at every step, find the biggest drop, then let AI suggest copy for that one step. The cost is the events you add first. Start there.
threads"AI optimizes your funnel overnight."
It can't fix a funnel you never measured.
What works: fire a GA4 event at every step, find the biggest drop, then let AI suggest copy for that one step. The cost is the events you add before any model helps.
pinterestAI can't optimize a funnel you never measured. The real method: fire a GA4 event at every step of your funnel, find the step with the biggest drop-off, then use AI to suggest new copy for that one step. The cost is the event tracking you add first.
bluesky"AI optimizes your funnel overnight." It can't fix a funnel you never measured. Fire a GA4 event at each step, find the biggest drop, let AI rewrite copy for that one step.
youtubeTitle: AI Can't Fix a Funnel You Never Measured
The pitch is AI will optimize your funnel overnight. The method that works: fire a GA4 event at every step, find the biggest drop-off, then let AI suggest copy for that one step. The cost is the events you add before any model helps.