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 social-W24-Mon-2kind threadweek W24date 2026-06-15campaign thread · Monpillar socialbeat Monasset videoduration 55.7sground redscenes 9

Checklist the per-video bar — engine/sim

98.4/100
plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness
quantitative quality · weights learn from your reviews (engine.sim.memory review social-W24-Mon-2 good|bad)
⚠ 1 flag(s) — not yet ship-ready: copy_generic · see docs/strategy/VIDEO-CHECKLIST.md

Composition comp · template family · expected output

composition SceneReelfamily / template SignalFieldReel
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 · 55.7s · 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
Most brands broadcast all day and never actually listen.
on-screen: You are talking, not listening
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape torusground redtreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→You are talking, not listening
2s2
matches intent
shared field
signature-3d		hook5.0–12.0skinetic-buildicon·white-knockout♪ node_lock
Here is how The Big T-M hears what people say when your name is not in the room.
on-screen: How to hear what they really say
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · mark · kinetic-build · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape torusground redtreatment white-knockoutmotion kinetic-buildpower laser-lockinstrument laser-trace→How to hear what they really say
3s3
matches intent
NumberedList
template		teach12.0–17.9skinetic-buildicon·liquid-chrome♪ node_lock
Set alerts for your brand, your typos, and your competitors, because nobody spells you right.
on-screen: Track the misspellings too
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→Track the misspellings toocurate items, nodes
4s4
matches intent
ComparisonTable
template		proof17.9–24.9sreceipts-counticon·white-knockout♪ node_lock
The proof is in the complaints: an angry thread is the cheapest product research you will ever get.
on-screen: Complaints are free research
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→Complaints are free researchcurate colA, colB, rows, statsLabels
5s5
matches intent
TerminalRun
template		diff24.9–30.799999999999997scrossfade-8ficon·liquid-chrome♪ node_lock
The old way was a single search alert and a hopeful guess about the mood.
on-screen: Old way: a Google alert and hope
expected on screen: red ground · a TerminalRun panel over a dimmed Signal Field · Nuntius leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id TerminalRunvisual codeshape torusground redtreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Old way: a Google alert and hopecurate codeLines
6s6
matches intent
ChecklistCard
template		teach30.8–38.5skinetic-buildicon·white-knockout♪ node_lock
Now you run the mentions through a model to sort by feeling, so a hundred posts become three clear themes.
on-screen: Sort by feeling, not just words
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Nuntius leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape torusground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Sort by feeling, not just wordscurate items, nodes
7s7
matches intent
KpiGrid
template		proof38.5–44.8sreceipts-counticon·liquid-chrome♪ node_lock
The receipt is the pattern: you act on the repeated theme, not the one loudest stranger.
on-screen: Patterns, not one loud voice
expected on screen: red ground · a KpiGrid panel over a dimmed Signal Field · Nuntius leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id KpiGridvisual receiptsshape torusground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→Patterns, not one loud voicecurate kpis, statsLabels
8s8
matches intent
PipelineMap
template		step44.8–50.699999999999996skinetic-buildicon·white-knockout♪ node_lock
Reply to the quiet, fair mentions first, because that is where trust is actually built.
on-screen: Reply to the quiet ones
expected on screen: red ground · a PipelineMap panel over a dimmed Signal Field · Nuntius leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id PipelineMapvisual pipelineshape torusground redtreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Reply to the quiet onescurate stages, steps
9s9
matches intent
shared field
signature-3d		resolve50.7–55.7scoalescenceicon·white-knockout♪ bed_out
Listen first, and you earn the right to your next post.
on-screen: Listen, then earn the next post
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape torusground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Listen, then earn the next post

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)

tiktokYour brand broadcasts all day and never listens. AI-assisted: alert on your name, your typos, AND competitors, then run mentions through a model to sort by FEELING so 100 posts become 3 themes. Act on patterns, not the loudest stranger. Method below.
instagramStop broadcasting. Start listening. Alert on your typos too. Sort mentions by feeling. Act on themes, not one voice. Reply to the quiet ones. #sociallistening #brandstrategy #smm #marketing #temerarii
linkedinMost brands broadcast all day and never listen. The social listening method we run: set alerts for your brand, common misspellings, and competitors; pipe the mentions through a model to cluster by sentiment so a hundred posts collapse into three themes; then act on the repeated pattern, not the single loudest voice. Reply to the quiet, fair mentions first. Takeaway: an angry thread is the cheapest product research you'll get.
xYou broadcast all day and never listen. Alert on your name + typos + competitors → sort mentions by feeling → act on themes, not the loudest stranger. Reply to the quiet ones. temerarii.com
facebookMost brands broadcast all day and never listen. Here's the move: set alerts for your name, your common typos, and your competitors, then run the mentions through a model to sort by feeling so a hundred posts become three clear themes. Act on the pattern, not the loudest stranger, and reply to the quiet, fair ones first. Want the listening setup? It's on the site.
threadsYou broadcast all day and never listen. Alert on your name, your typos, and competitors, sort mentions by feeling, act on themes not the loudest voice, and reply to the quiet ones first.
pinterestSocial listening strategy: how to monitor brand mentions, track misspellings and competitors, cluster posts by sentiment with AI, and act on themes. Plain-language guide to listening before broadcasting for brands and marketers.
blueskyYou broadcast all day and never listen. Alert on your name + typos + competitors, sort mentions by feeling, act on themes, reply to the quiet ones. temerarii.com
youtubeSocial Listening: How To Hear What People Say When Your Name Isn't In The Room Most brands broadcast all day and never listen. This breakdown shows the method: set alerts for your brand, misspellings, and competitors; run mentions through a model to cluster by sentiment so a hundred posts become three themes; act on the repeated pattern, not the loudest voice; and reply to the quiet, fair mentions first. AI-assisted production. Give-it-away method from The Big T-M. Chapters: broadcast vs listen · track the typos · sort by feeling · patterns over noise · reply to the quiet ones.

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

→ Wireframe · scenes→ Calendar week→ Media (audience preview)→ Storyboard hub→ Day view→ Channel view