Checklist the per-video bar — engine/sim
83.1/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W36-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 · 31.4s · 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 | hook | 0–7.6s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Ask AI about your finances and trust the answer, they say. It will average revenue and refunds with total confidence. on-screen: "AI knows your numbers" |
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape torusground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI knows your numbers" | |||||||
| 2 |  matches intent BuildLog template | diff | 7.6–15.5s | crossfade-8f | icon·white-knockout | ♪ node_lock | What works: write one-line definitions for each metric, hand them to the model, then it computes from your rules instead of guessing. on-screen: Define every metric |
expected on screen: red ground · a BuildLog panel over a dimmed Signal Field · Nuntius leads · code · crossfade-8f · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id BuildLogvisual codeshape torusground redtreatment white-knockoutmotion crossfade-8fpower morphinstrument morph→Define every metriccurate codeLines, lines | |||||||
| 3 |  matches intent NumberedList template | teach | 15.5–21.4s | kinetic-build | icon·liquid-chrome | ♪ node_lock | The cost is agreeing on what each number means. Write definitions for your top five metrics this week. on-screen: The cost: a metrics glossary |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Nuntius leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape torusground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→The cost: a metrics glossarycurate items, nodes | |||||||
| 4 |  first render · fix pending ComparisonTable templatedead_airgeneric_scene | proof | 21.4–26.4s | receipts-count | icon·white-knockout | ♪ node_lock | Minus the Hype |
expected on screen: red ground · a ComparisonTable panel over a dimmed Signal Field · Nuntius leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape torusground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate colA, colB, rows, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 26.4–31.4s | coalescence | icon·liquid-chrome | ♪ bed_out | Minus the Hype |
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape torusground 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)
tiktok"AI knows your numbers," they say. (AI-assisted)
Ask AI about your finances and trust the answer? It will average revenue and refunds with total confidence. What works: write one-line definitions for each metric, hand them to the model, then it computes from your rules instead of guessing. The cost is agreeing on what each number means.
instagram"AI knows your numbers."
Ask it about finances and it averages revenue and refunds with total confidence.
What works: define every metric in one line.
Hand the rules to the model. It computes, no guessing.
#temerarii #metrics #dataliteracy #aianalytics #finops
linkedin"Ask AI about your finances and trust the answer." A tempting shortcut.
It will average revenue and refunds together with total confidence. Here is what works: write one-line definitions for each metric, hand them to the model, then it computes from your rules instead of guessing. The model does the math, your definitions set the meaning.
The cost is agreeing on what each number means. Write definitions for your top five metrics this week.
x"AI knows your numbers." Ask about finances and it averages revenue and refunds with total confidence.
What works: write one-line definitions per metric, hand them to the model, it computes from your rules. The cost is a metrics glossary.
facebook"AI knows your numbers." Ask AI about your finances and trust the answer, they say.
It will average revenue and refunds with total confidence. What works: write one-line definitions for each metric, hand them to the model, then it computes from your rules instead of guessing.
The cost is agreeing on what each number means. Write definitions for your top five metrics this week.
threads"AI knows your numbers." Ask about your finances and it averages revenue and refunds with total confidence.
What works: write one-line definitions for each metric, hand them to the model, then it computes from your rules instead of guessing.
The cost is a metrics glossary. Define your top five this week.
pinterestMyth-busting AI that knows your business numbers. Why models average revenue and refunds with false confidence, and how a one-line definition per metric makes AI compute from your rules. Metrics glossary method.
bluesky"AI knows your numbers." Ask about finances and it averages revenue and refunds with total confidence. What works: write one-line definitions per metric, hand them to the model, it computes from your rules. The cost is a metrics glossary.
youtubeThe AI Knows Your Numbers Myth: Define Every Metric First
Ask AI about your finances and trust the answer, they say. It will average revenue and refunds with total confidence. What works: write one-line definitions for each metric, hand them to the model, then it computes from your rules instead of guessing. The cost is agreeing on what each number means. Write definitions for your top five metrics this week. AI-assisted production by Temerarii.