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-W36-Sat-1kind threadweek W36date 2026-09-12campaign thread · Satpillar multimediabeat Satasset videoduration 49.6sground blackscenes 9

Checklist the per-video bar — engine/sim

86.6/100
plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness
quantitative quality · weights learn from your reviews (engine.sim.memory review social-W36-Sat-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

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 · 49.6s · comp_id + rendered still + tier + the script

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d		open0–5.5sspatial-parallaxicon·ember-fill♪ bed_in
Social listening used to mean typing your brand name in a search bar daily.
on-screen: Listening meant a manual keyword search
expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · node-graph · spatial-parallax · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape octaground blacktreatment ember-fillmotion spatial-parallaxpower summoninstrument summon→Listening meant a manual keyword search
2s2
matches intent
shared field
signature-3d		hook5.5–11.0skinetic-buildicon·wireframe♪ node_lock
You only ever caught the posts that named you, and missed the quiet ones.
on-screen: You only caught what mentioned you
expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape octaground blacktreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→You only caught what mentioned you
3s3
matches intent
NumberedList
template		teach11.0–16.5skinetic-buildicon·wireframe♪ node_lock
First move: track the problem you solve, not only the times people tag you.
on-screen: Track the problem, not just your name
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id NumberedListvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Track the problem, not just your namecurate items, nodes
4s4
matches intent
ComparisonTable
template		proof16.5–22.0sreceipts-counticon·wireframe♪ node_lock
Have a model read the mood behind posts, not just match the exact words.
on-screen: Let AI read the mood
expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ComparisonTablevisual receiptsshape octaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Let AI read the moodcurate colA, colB, rows, statsLabels
5s5
matches intent
CodeWindow
template		diff22.0–27.5scrossfade-8ficon·wireframe♪ node_lock
Counting mentions tells you how loud, never why people feel the way they do.
on-screen: Counting mentions misses the why
expected on screen: black ground · a CodeWindow panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id CodeWindowvisual codeshape octaground blacktreatment wireframemotion crossfade-8fpower morphinstrument morph→Counting mentions misses the whycurate codeLines, windowTitle
6s6
matches intent
ChecklistCard
template		teach27.5–32.7skinetic-buildicon·wireframe♪ node_lock
So you cluster the complaints into themes and watch which one keeps growing.
on-screen: Cluster complaints into themes
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Cluster complaints into themescurate items, nodes
7s7
matches intent
KpiGrid
template		proof32.7–38.2sreceipts-counticon·wireframe♪ node_lock
Now you spot the wave forming before it breaks, and you answer it first.
on-screen: Spot the wave before it breaks
expected on screen: black ground · a KpiGrid panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id KpiGridvisual receiptsshape octaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Spot the wave before it breakscurate kpis, statsLabels
8s8
matches intent
CheatSheet
template		step38.2–44.1skinetic-buildicon·wireframe♪ node_lock
Try it: track the problem you solve and let a model cluster the mood weekly.
on-screen: Track the pain, cluster the mood
expected on screen: black ground · a CheatSheet panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id CheatSheetvisual pipelineshape octaground blacktreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Track the pain, cluster the moodcurate points, stages, steps, uses
9s9
matches intent
shared field
signature-3d		resolve44.1–49.6scoalescenceicon·ember-fill♪ bed_out
Soon you hear demand forming in real time, instead of reading about it later.
on-screen: Soon you hear demand as it forms
expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground blacktreatment ember-fillmotion coalescencepower coalescenceinstrument coalescence→Soon you hear demand as it forms

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 only searching your brand name. Here is the move (AI-assisted): track the PROBLEM you solve, not just mentions, and let a model read the mood and cluster complaints into themes. You spot the wave before it breaks. #sociallistening #marketing #aitools
instagramSearching your name isn't listening. Track the problem you solve. Let AI read the mood. Cluster complaints into themes. Spot the wave before it breaks. #sociallistening #socialmedia #marketing #aitools #brandstrategy
linkedinSocial listening used to mean typing your brand name in a search bar, catching only the posts that named you. The futurist method: track the problem you solve, not just mentions, and let a model read the mood and cluster complaints into themes. The takeaway: counting mentions tells you how loud, never why, so you can spot the wave before it breaks.
xSocial listening move: track the problem you solve, not just mentions. Let AI read the mood and cluster complaints into themes. Spot the wave before it breaks. temerarii.com
facebookSocial listening used to mean searching your brand name and catching only posts that named you. The method: track the problem you solve, and let a model read the mood and cluster complaints into themes. Spot the wave before it breaks. See it at temerarii.com.
threadsSearching your brand name isn't listening. Track the problem you solve, let AI read the mood and cluster complaints into themes. You spot the wave before it breaks.
pinterestAI social listening workflow: how to hear demand before it forms. Track the problem you solve, not just mentions, and let a model read mood and cluster complaints into themes. Evergreen guide to social listening, sentiment analysis, and brand strategy.
blueskySocial listening move: track the problem you solve, not just mentions. Let AI read the mood and cluster complaints into themes. Spot the wave before it breaks. temerarii.com
youtubeAI Social Listening: Hear Demand Before It Forms Social listening used to mean typing your brand name in a search bar daily, catching only the posts that named you and missing the quiet ones. The futurist method: track the problem you solve, not just your mentions, and let a model read the mood behind posts instead of matching exact words. Counting mentions tells you how loud, never why, so cluster complaints into themes and spot the wave before it breaks. More at temerarii.com.

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

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