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-W38-Thu-3kind threadweek W38date 2026-09-24campaign thread · Thupillar multimediabeat Thuasset videoduration 61.4sground 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-W38-Thu-3 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 · 61.4s · comp_id + rendered still + tier + the script

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
open0–6.3sspatial-parallaxicon·ember-fill♪ bed_in
Old way: social listening meant an intern saving screenshots of every time someone said your name.
on-screen: Listening was clipping mentions
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 was clipping mentions
2s2
matches intent
shared field
signature-3d
hook6.3–13.3skinetic-buildicon·ember-fill♪ node_lock
Here is the gap: a pile of mentions tells you the volume but never the feeling underneath it.
on-screen: Mentions without meaning
expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · mark · kinetic-build · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape octaground blacktreatment ember-fillmotion kinetic-buildpower laser-lockinstrument laser-trace→Mentions without meaning
3s3
matches intent
NumberedList
template
teach13.3–19.9skinetic-buildicon·wireframe♪ node_lock
New way: pipe mentions through a model that sorts them by feeling and pulls the recurring complaint.
on-screen: Sort mentions by sentiment
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→Sort mentions by sentimentcurate items, nodes
4s4
matches intent
ComparisonTable
template
proof19.9–27.2sreceipts-counticon·white-knockout♪ node_lock
Now you see the pattern, not the noise, so one loud angry post does not steer the whole brand.
on-screen: The pattern, not the noise
expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id ComparisonTablevisual receiptsshape octaground blacktreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→The pattern, not the noisecurate colA, colB, rows, statsLabels
5s5
matches intent
StackTrace
template
diff27.2–33.8scrossfade-8ficon·liquid-chrome♪ node_lock
Counting mentions is vanity. Understanding why people feel a way is the part that changes a decision.
on-screen: Counting vs understanding
expected on screen: black ground · a StackTrace panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id StackTracevisual codeshape octaground blacktreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Counting vs understandingcurate codeLines, errMsg, errType, fix, frames
6s6
matches intent
ChecklistCard
template
teach33.8–40.8skinetic-buildicon·ember-fill♪ node_lock
Teach the team to track the problem people describe without naming you, since that is the real demand.
on-screen: Watch the unbranded chatter
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground blacktreatment ember-fillmotion kinetic-buildpower morphinstrument morph+laser→Watch the unbranded chattercurate items, nodes
7s7
matches intent
KpiGrid
template
proof40.8–47.4sreceipts-counticon·wireframe♪ node_lock
The chatter that never says your name is where you find the need nobody has answered yet.
on-screen: Unbranded talk reveals need
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→Unbranded talk reveals needcurate kpis, statsLabels
8s8
matches intent
AnnotatedDiagram
template
step47.4–54.4skinetic-buildicon·white-knockout♪ node_lock
Your step: take one week of mentions, sort them by feeling, and write the top three themes down.
on-screen: Read one week of mentions
expected on screen: black ground · a AnnotatedDiagram panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id AnnotatedDiagramvisual pipelineshape octaground blacktreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Read one week of mentionscurate callouts, stages, steps
9s9
matches intent
shared field
signature-3d
resolve54.4–61.4scoalescenceicon·ember-fill♪ bed_out
Now you hear the why, not just the count. The Big T-M reads the room, not the receipts.
on-screen: Listen for the why
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→Listen for the why

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)

tiktokSocial listening is not saving screenshots of your name. Sort mentions by feeling and watch the chatter that never names you. (AI-assisted) #sociallistening #socialmedia #marketing
instagramCounting mentions is vanity. Sort them by feeling. Watch the talk that never names you. #sociallistening #socialmediamarketing #brandstrategy #insights #marketing
linkedinSocial listening too often means an intern clipping every mention of the brand name. A pile of mentions tells you volume but never the feeling underneath. The upgrade: pipe mentions through a model that sorts them by sentiment and surfaces the recurring complaint, so one loud angry post does not steer the whole brand. Even better, track the problem people describe without ever naming you, because that unbranded chatter is where the unmet demand lives. Counting is vanity. Understanding the why changes decisions. Read one week of mentions this way.
xSocial listening is not clipping your name. Sort mentions by feeling, then watch the chatter that never names you. That is the demand. Method:
facebookSocial listening usually means saving screenshots of every mention. Instead, sort mentions by feeling and watch the chatter that describes your problem without naming you. That unbranded talk is the real demand. Comment for the setup.
threadsSocial listening is not clipping every mention of your name. Sort mentions by feeling so one angry post does not steer the brand. Then track the problem people describe without naming you. That unbranded chatter is where the unmet demand actually lives.
pinterestSocial listening guide: how to sort brand mentions by sentiment with a model and track unbranded chatter where unmet demand lives. Move from counting mentions to understanding why. Social listening, social media marketing, brand strategy.
blueskySocial listening is not clipping your name. Sort mentions by feeling, then watch the chatter that never names you. That is the demand. Method:
youtubeSocial Listening That Finds Demand: Sort by Feeling, Watch the Unbranded Chatter Social listening too often means clipping mentions of your name. This covers sorting mentions by sentiment with a model so one loud post does not steer the brand, and tracking the problem people describe without ever naming you, because that unbranded chatter is where unmet demand lives. Social listening, brand strategy, marketing. AI-assisted production.

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