Checklist the per-video bar — engine/sim
78.3/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W25-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 · 29.4s · 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 | 0–7.0s | kinetic-build | icon·wireframe | ♪ node_lock | They say point AI at your data and a perfect dashboard appears. Then it charts vanity numbers nobody decides on. on-screen: "Dashboards build themselves" |
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape tetraground whitetreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→"Dashboards build themselves" | |||||||
| 2 |  matches intent StackTrace template | diff | 7.0–14.4s | crossfade-8f | icon·wireframe | ♪ node_lock | What actually works: name the one decision you make weekly, then we query GA4 for the two metrics that drive it. on-screen: Define the decision first |
expected on screen: white ground · a StackTrace panel over a dimmed Signal Field · Nexus leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StackTracevisual codeshape tetraground whitetreatment wireframemotion crossfade-8fpower morphinstrument morph→Define the decision firstcurate codeLines, errMsg, errType, fix, frames | |||||||
| 3 |  first render · fix pending ChecklistCard templatedead_air | teach | 14.4–19.4s | kinetic-build | icon·wireframe | ♪ node_lock | The cost is the thinking, not the charting. You still have to pick the one number that decides what you do next. on-screen: The cost: knowing the number |
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape tetraground whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: knowing the numbercurate items, nodes | |||||||
| 4 |  first render · fix pending RankList templatedead_airgeneric_scene | proof | 19.4–24.4s | receipts-count | icon·wireframe | ♪ node_lock | Minus the Hype |
expected on screen: white ground · a RankList panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape tetraground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate rows, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 24.4–29.4s | coalescence | icon·3d-extrude | ♪ bed_out | Minus the Hype |
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · coalescence · coalescence · icon·3d-extrude logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape tetraground whitetreatment 3d-extrudemotion 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 point AI at your data and a perfect dashboard appears. Then it charts numbers nobody acts on. The real move: name the one decision you make weekly, then pull the two metrics that drive it from GA4. The cost is the thinking, not the charting. (AI-assisted)
instagram"Dashboards build themselves."
Then they chart numbers nobody acts on.
The real move: name the one weekly decision first. Pull the two GA4 metrics that drive it.
The cost is the thinking, not the charting.
#analytics #ga4 #dataviz #aimarketing #thebigtm
linkedinThe pitch: point AI at your data and a perfect dashboard appears. The reality: it charts vanity numbers nobody decides on.
Here is the method we actually use. Name the one decision you make every week. Then query GA4 for the two metrics that drive that decision. That is the whole dashboard.
The hard part was never the charting. It is knowing which number matters. Do that thinking first and the build is trivial.
x"AI builds your dashboard for you."
Then it charts numbers nobody acts on.
The move: name the one weekly decision, then pull the 2 GA4 metrics that drive it. The cost is the thinking, not the charting.
temerarii.xyz/build
facebookThey say point AI at your data and a perfect dashboard appears. Then it charts numbers nobody decides on. Here is what works: name the one decision you make every week, then pull the two GA4 metrics that drive it. The cost is the thinking, not the charting. Try it on your own dashboard this week.
threads"Dashboards build themselves." Sure, and then they chart numbers nobody acts on.
The real move: name the one decision you make weekly. Then pull the two GA4 metrics that drive it.
The cost is the thinking, not the charting.
pinterestHow to build a useful analytics dashboard with AI: skip the auto-generated vanity charts. First name the one decision you make each week, then query GA4 for the two metrics that drive it. A decision-first method for GA4 reporting from The Big T-M.
bluesky"Dashboards build themselves." Then they chart numbers nobody acts on. The move: name your one weekly decision, then pull the 2 GA4 metrics that drive it. The cost is the thinking, not the charting.
youtubeTitle: Why AI Dashboards Chart the Wrong Numbers | Minus the Hype
The pitch says point AI at your data and a perfect dashboard appears. In practice it charts vanity numbers nobody acts on. The method that works: name the one decision you make every week, then query GA4 for the two metrics that drive it. The cost is the thinking, not the charting. The Big T-M, method-only, no hype.