Checklist the per-video bar — engine/sim
83.9/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W38-Sun-4 good|bad)⚠ 4 flag(s) — not yet ship-ready: copy_generictoo_complexdup_sequence_across_assetsdup_set_across_assets · see docs/strategy/VIDEO-CHECKLIST.md
Composition comp · template family · expected output
9:16 Reelpending1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
render pending — silent master not yet on disk
expected output: 0/7 rendered — same matrix the /media preview surfaces for this asset.
Composition layer × scene 9 scenes · 60.3s · 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 | 0–7.0s | spatial-parallax | icon·3d-extrude | ♪ bed_in | Old way: an analyst pulled numbers into a spreadsheet, and the report landed a week after it mattered. on-screen: Reports took a week |
expected on screen: white ground · box hero in the shared Signal Field · Faber leads · node-graph · spatial-parallax · icon·3d-extrude logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape boxground whitetreatment 3d-extrudemotion spatial-parallaxpower summoninstrument summon→Reports took a week | |||||||
| 2 |  matches intent shared field signature-3d | hook | 7.0–13.6s | kinetic-build | icon·color | ♪ node_lock | Here is the real failure: most dashboards answer questions nobody asked and bury the one that matters. on-screen: Dashboards nobody reads |
expected on screen: white ground · box hero in the shared Signal Field · Faber leads · mark · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape boxground whitetreatment colormotion kinetic-buildpower laser-lockinstrument laser-trace→Dashboards nobody reads | |||||||
| 3 |  matches intent NumberedList template | teach | 13.6–20.2s | kinetic-build | icon·color | ♪ node_lock | Point a model at your warehouse, then ask your question in plain English instead of writing SQL. on-screen: Connect data, ask in words |
expected on screen: white ground · a NumberedList panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape boxground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Connect data, ask in wordscurate items, nodes | |||||||
| 4 |  matches intent ComparisonTable template | proof | 20.2–26.799999999999997s | receipts-count | icon·color | ♪ node_lock | The model writes the query, runs it, and hands back the number with the chart already drawn. on-screen: It writes the query for you |
expected on screen: white ground · a ComparisonTable panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·color logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape boxground whitetreatment colormotion receipts-countpower receiptsinstrument spotlight→It writes the query for youcurate colA, colB, rows, statsLabels | |||||||
| 5 |  matches intent StackTrace template | diff | 26.8–33.4s | crossfade-8f | icon·color | ♪ node_lock | A dashboard shows you what happened. A good question-and-answer layer tells you what to do about it. on-screen: A chart is not an answer |
expected on screen: white ground · a StackTrace panel over a dimmed Signal Field · Faber leads · code · crossfade-8f · icon·color logo · caption bottom-left spec (the prompt): comp_id StackTracevisual codeshape boxground whitetreatment colormotion crossfade-8fpower morphinstrument morph→A chart is not an answercurate codeLines, errMsg, errType, fix, frames | |||||||
| 6 |  matches intent ChecklistCard template | teach | 33.4–40.4s | kinetic-build | icon·color | ♪ node_lock | Feed the model your exact metric definitions so it never quietly mixes up two ways to count revenue. on-screen: Pin the metric definitions |
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape boxground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Pin the metric definitionscurate items, nodes | |||||||
| 7 |  matches intent KpiGrid template | proof | 40.4–46.699999999999996s | receipts-count | icon·color | ♪ node_lock | With definitions pinned, the whole team gets the same number from the same question every time. on-screen: One source of truth |
expected on screen: white ground · a KpiGrid panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·color logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape boxground whitetreatment colormotion receipts-countpower receiptsinstrument spotlight→One source of truthcurate kpis, statsLabels | |||||||
| 8 |  matches intent StepFlow template | step | 46.7–53.300000000000004s | kinetic-build | icon·color | ♪ node_lock | Your step: write the three questions your boss asks every Monday, then wire them to the data. on-screen: Write three real questions |
expected on screen: white ground · a StepFlow panel over a dimmed Signal Field · Faber leads · pipeline · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id StepFlowvisual pipelineshape boxground whitetreatment colormotion kinetic-buildpower throwinstrument laser-trace→Write three real questionscurate stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 53.3–60.3s | coalescence | icon·3d-extrude | ♪ bed_out | Now you ask the business a question and it answers. The Big T-M turns dashboards into a conversation. on-screen: Ask, do not dig |
expected on screen: white ground · box hero in the shared Signal Field · Faber leads · coalescence · coalescence · icon·3d-extrude logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape boxground whitetreatment 3d-extrudemotion coalescencepower coalescenceinstrument coalescence→Ask, do not dig | |||||||
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)
tiktokStop building dashboards nobody reads. Point a model at your data and ask the question in plain English. It writes the query. (AI-assisted) #businessintelligence #dataanalytics #marketing
instagramDashboards answer questions nobody asked.
Point a model at your data.
Ask in plain English. Get the number.
#bi #dataanalytics #marketingdata #analytics #aitools
linkedinBusiness intelligence has a quiet failure mode: dashboards that answer questions nobody asked while burying the one that matters.
The shift: connect a model to your warehouse, pin your exact metric definitions, and ask questions in plain English. The model writes the query, runs it, and returns the number with a chart. Because definitions are pinned, the whole team gets the same answer from the same question.
Start by writing the three questions your leadership asks every week, then wire them to the data.
xStop shipping dashboards nobody reads. Connect a model to your data, pin your metric definitions, and ask in plain English. Here is how:
facebookMost dashboards answer questions nobody asked. Connect a model to your data, pin your metric definitions, and just ask your question in plain English. Comment for the setup guide.
threadsBI keeps failing the same way: dashboards full of charts nobody asked for. Point a model at your warehouse, pin your exact metric definitions, and ask in plain English. It writes the query and hands back the answer. Everyone gets the same number.
pinterestConversational business intelligence guide: how to connect an AI model to your data warehouse, pin metric definitions, and ask analytics questions in plain English instead of writing SQL. Data analytics, BI dashboards, marketing data tips.
blueskyDashboards answer questions nobody asked. Connect a model to your data, pin your metric definitions, ask in plain English. It writes the query. Method:
youtubeConversational BI: Ask Your Data Questions in Plain English
Most dashboards bury the one number that matters. This covers connecting a model to your data warehouse, pinning exact metric definitions so the team gets one source of truth, and asking questions in plain English while the model writes and runs the query. Business intelligence, data analytics, marketing reporting. AI-assisted production.