Checklist the per-video bar — engine/sim
86.6/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W38-Mon-1 good|bad)⚠ 3 flag(s) — not yet ship-ready: copy_genericdup_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 · 62.9s · 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·liquid-chrome | ♪ bed_in | Old way: marketers handed every number to an analyst and crossed their fingers it came back in time. on-screen: Marketers feared the numbers |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · node-graph · spatial-parallax · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape boxground blacktreatment liquid-chromemotion spatial-parallaxpower summoninstrument summon→Marketers feared the numbers | |||||||
| 2 |  matches intent shared field signature-3d | hook | 7.0–14.3s | kinetic-build | icon·ember-fill | ♪ node_lock | Here is the bottleneck: the person with the question cannot read the data, so insight waits in a queue. on-screen: The gap is the bottleneck |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · mark · kinetic-build · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape boxground blacktreatment ember-fillmotion kinetic-buildpower laser-lockinstrument laser-trace→The gap is the bottleneck | |||||||
| 3 |  matches intent NumberedList template | teach | 14.3–21.3s | kinetic-build | icon·wireframe | ♪ node_lock | New skill: a marketer learns to ask a model to pull, clean, and chart data without touching code. on-screen: Learn to ask the model |
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape boxground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Learn to ask the modelcurate items, nodes | |||||||
| 4 |  matches intent RankList template | proof | 21.3–28.3s | receipts-count | icon·white-knockout | ♪ node_lock | Now the person closest to the campaign gets the answer in minutes, while it still changes the decision. on-screen: Insight in minutes |
expected on screen: black 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 blacktreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Insight in minutescurate rows, statsLabels | |||||||
| 5 |  matches intent CodeWindow template | diff | 28.3–36.0s | crossfade-8f | icon·liquid-chrome | ♪ node_lock | A tool is not the skill. The skill is asking a sharp question and spotting when the answer smells wrong. on-screen: Tools vs the question |
expected on screen: black ground · a CodeWindow panel over a dimmed Signal Field · Faber leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id CodeWindowvisual codeshape boxground blacktreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Tools vs the questioncurate codeLines, windowTitle | |||||||
| 6 |  matches intent ChecklistCard template | teach | 36.0–43.0s | kinetic-build | icon·ember-fill | ♪ node_lock | Teach staff to ask the model to show its query, so they can sanity-check what it actually counted. on-screen: Always demand the query |
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape boxground blacktreatment ember-fillmotion kinetic-buildpower morphinstrument morph+laser→Always demand the querycurate items, nodes | |||||||
| 7 |  matches intent StatScoreboard template | proof | 43.0–49.3s | receipts-count | icon·wireframe | ♪ node_lock | That one habit catches the silent errors that wreck a report and a quarter of trust. on-screen: Trust but verify |
expected on screen: black ground · a StatScoreboard panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape boxground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Trust but verifycurate pillar, stats, statsLabels | |||||||
| 8 |  matches intent NodeGraphCard template | step | 49.3–56.3s | kinetic-build | icon·white-knockout | ♪ node_lock | Your step: take one report you wait on, and rebuild it by asking a model the question directly. on-screen: Pick one weekly report |
expected on screen: black ground · a NodeGraphCard panel over a dimmed Signal Field · Faber leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id NodeGraphCardvisual pipelineshape boxground blacktreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Pick one weekly reportcurate hub, nodes, stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 56.3–62.9s | coalescence | icon·liquid-chrome | ♪ bed_out | Soon every marketer reads their own data. The Big T-M trains the question, not just the tool. on-screen: Marketers who read data |
expected on screen: black 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 blacktreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→Marketers who read data | |||||||
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)
tiktokThe future skill for marketers is not a tool. It is asking a model the right data question and checking its work. (AI-assisted) #marketinganalytics #datafordmarketers #careertips
instagramThe bottleneck is not the data.
It is the wait for someone to read it.
Learn to ask the model yourself.
#marketinganalytics #datadriven #marketingtips #upskill #analytics
linkedinThe most valuable marketing skill of the next few years is not a tool. It is the ability to ask a model a sharp data question and to notice when the answer smells wrong.
Today, insight waits in a queue because the person with the question cannot read the data. When a marketer can ask a model to pull, clean, and chart data, and then demand to see the query, the answer arrives while it still changes the decision.
Pick one report you currently wait on and rebuild it yourself this week.
xThe future marketing skill is not a tool. It is asking a model the right data question and checking the query it ran. Here is the move:
facebookMarketers keep waiting in a queue for someone else to read their data. The real skill ahead is asking a model the question yourself and checking its work. Comment for a starter prompt.
threadsThe marketing skill that will matter most soon is not a fancy tool. It is asking a model a sharp data question and spotting when the answer is wrong. Always make it show the query. That one habit turns a marketer into someone who reads their own data.
pinterestData skills for marketers: why the future skill is asking AI the right data question, not mastering a tool. Learn to pull, clean, and chart campaign data and verify the query. Marketing analytics, data driven marketing, career growth.
blueskyThe future marketing skill is not a tool. It is asking a model a sharp data question and checking the query it ran. Start here:
youtubeThe Data Skill Every Marketer Will Need: Asking the Right Question
The bottleneck in marketing analytics is not the data, it is the wait for someone to read it. This covers the skill of asking a model to pull, clean, and chart data, and the habit of demanding the query so you can verify what was counted. Marketing analytics, upskilling, data literacy. AI-assisted production.