Back Office · office.temerarii.xyz
One asset, all the way in — composition, the wireframe + storyboard, the output format stack, and the template, all read from the SAME content-index record. The expected output matches what /media surfaces for this post.
post W51-staff-training-pillar-beat-2kind cellweek W51date 2026-12-20campaign staff-training-pillarpillar staff_trainingbeat 2asset videoduration 24.6sground blackscenes 4

Checklist the per-video bar — engine/sim

100.0/100
plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness
quantitative quality · weights learn from your reviews (engine.sim.memory review W51-staff-training-pillar-beat-2 good|bad)
✓ all static checks pass — one-focal/scene · tier-by-beat · one-track caption · colorway · cast+shape correct · no banned/fabricated. (audio + visual tiers verify on the rendered finals — Phase 2)

Composition comp · template family · expected output

composition SceneReelfamily / template WireframeMock
9:16 Reelrendered1:1 Squarerendered16:9 Widerendered9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
▶ open rendered mp4
expected output: 3/7 rendered — same matrix the /media preview surfaces for this asset.

Composition layer × scene 4 scenes · 24.6s · comp_id + rendered still + tier + the script

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
open0–5.0sspatial-parallaxicon·white-knockout♪ bed in
Marketers do not need to become engineers — they need to read a number and trust it.
on-screen: Your team, fluent in data
expected on screen: black ground · knot hero in the shared Signal Field · Magister leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape knotground blacktreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→Your team, fluent in data
2s2
matches intent
ComparisonTable
template
subservice5.0–11.6smark-drawicon·wireframe♪ —
We teach teams to pull their own answers from GA4 and a simple SQL query, instead of waiting on
on-screen: Read the dashboard, not the vibes
expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Magister leads · receipts · mark-draw · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ComparisonTablevisual receiptsshape knotground blacktreatment wireframemotion mark-drawpower summoninstrument laser-trace→Read the dashboard, not the vibescurate colA, colB, rows, statsLabels
3s3
matches intent
RankList
template
subservice11.6–18.0smark-drawicon·wireframe♪ —
Then we show them how to put Claude and a few MCP tools to work on the boring go-to-market reps, with a
on-screen: AI as a GTM teammate
expected on screen: black ground · a RankList panel over a dimmed Signal Field · Magister leads · receipts · mark-draw · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id RankListvisual receiptsshape knotground blacktreatment wireframemotion mark-drawpower summoninstrument laser-trace→html-in-canvas-receiptscurate rows, statsLabels
4s4
matches intent
shared field
signature-3d
resolve18.0–24.6scoalescenceicon·white-knockout♪ bed out
If you want a team that is fluent in data and confident with AI, that is exactly what The Big T-M trains.
on-screen: Learn it live · temerarii.xyz
expected on screen: black ground · knot hero in the shared Signal Field · Magister leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape knotground blacktreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Learn it live · temerarii.xyz

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 12 destinations

LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBlueskyEmailSMSBlog

Social captions supplemental published copy · per channel (comp_id level)

tiktokYour marketers don't need to be engineers. They need to read one number and trust it. We teach teams to pull answers from GA4 and a simple query, then put AI to work on the boring reps. Learn it live at temerarii.xyz. (AI-assisted)
instagramRead the dashboard, not the vibes. We train teams to pull their own answers from GA4 and a simple query. Then we put AI to work on the boring go-to-market reps. Learn it live at temerarii.xyz. #datafluency #marketingops #ga4 #aiformarketing #gtm
linkedinMost marketers don't need to become engineers. They need to read a number and trust it. We train teams to pull their own answers from GA4 and a simple SQL query, instead of waiting on someone else. Then we show them how to put AI to work on the boring go-to-market reps. The result: a team fluent in data and calm with AI. That's the move we teach. Learn it live at temerarii.xyz.
xYour team doesn't need to become engineers. It needs to read one number and trust it. We teach teams to pull answers from GA4 and put AI on the boring reps. temerarii.xyz
facebookMarketers don't need to become engineers. They just need to read a number and trust it. We train teams to pull their own answers from GA4 and a simple query, then put AI to work on the boring go-to-market reps. Want a team that's fluent in data? Learn it live at temerarii.xyz.
threadsRead the dashboard, not the vibes. We teach teams to pull their own answers from GA4 and a simple query, then put AI to work on the boring go-to-market reps. That's how a team gets fluent in data and calm with AI. Learn it live at temerarii.xyz.
pinterestData fluency training for marketing teams: how to read GA4 dashboards, run a simple SQL query, and put AI tools to work on routine go-to-market tasks. A practical method for building a marketing team that is fluent in data and confident with AI. Learn it live at temerarii.xyz.
blueskyMarketers don't need to become engineers. They need to read one number and trust it. We teach teams to pull answers from GA4 and put AI on the boring reps. temerarii.xyz
youtubeTitle: Train Your Marketing Team to Read Data and Use AI Marketers don't need to become engineers. They need to read a number and trust it. We train teams to pull their own answers from GA4 and a simple SQL query, then put AI to work on the boring go-to-market reps. The result is a team fluent in data and calm with AI. Learn it live at temerarii.xyz.

Cross-links every lens is a view on this one record