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 longform-W36-Satkind longformweek W36date 2026-09-12campaign longform-youtubepillar performancebeat asset videoduration 179.7sground blackscenes 8

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 longform-W36-Sat 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 LongFormChaptersfamily / template LongFormChapters
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 8 scenes · 179.7s · comp_id + rendered still + tier + the script

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
open0–22.0sspatial-parallaxicon·wireframe♪ bed_in
Content strategy that moves the needle does not end when you hit post. Today is the part of social media management most people drop: replies and community, run as a system instead of a mood. Followers turn into customers in the comments, not the captions. You will learn how to handle the conversation without living inside your notifications all day.
on-screen: The reply is the real post
expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · node-graph · spatial-parallax · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape dodecaground blacktreatment wireframemotion spatial-parallaxpower summoninstrument summon→The reply is the real post
2s2
matches intent
NumberedList
template
teach22.0–44.7skinetic-buildicon·wireframe♪ node_lock
Step one. Stop checking seven apps for replies. Pull every comment into one pile. We use the same MCP connections that ship our posts to also fetch the replies back, so all the conversation lands in one file the agent can read. You cannot run a community you have to chase across a dozen tabs. Bring the talk to one table first.
on-screen: Pull comments into one place
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id NumberedListvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Pull comments into one placecurate items, nodes
3s3
matches intent
ChecklistCard
template
teach44.7–68.1skinetic-buildicon·wireframe♪ node_lock
Step two. Let the model sort the pile by what each comment actually needs: a real question, a thank-you, a complaint, or spam. We ask it to tag each one. Now you triage like a doctor, not a firehose. The questions get your time, the thanks get a quick nod, the complaints get attention, and the spam gets nothing. Sorting is the whole battle.
on-screen: Sort the talk by what it needs
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Sort the talk by what it needscurate items, nodes
4s4
matches intent
DiffCard
template
teach68.1–90.39999999999999skinetic-buildicon·wireframe♪ node_lock
Step three. Have the model draft replies to the real questions, in your voice, but never let it send on its own. We keep a human approval step: the agent writes, you read, you tweak, you ship. The draft saves the blank-page time. The approval keeps the soul. A community can tell when a robot is talking unsupervised, and they leave.
on-screen: Draft, then you approve
expected on screen: black ground · a DiffCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id DiffCardvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Draft, then you approvecurate lines, nodes
5s5
matches intent
LegacyCard
template
teach90.4–112.4skinetic-buildicon·wireframe♪ node_lock
Step four. Take the questions that keep coming up and feed them back into next week's posts. We pipe the most repeated comment questions into our content file as ready-made topics. The community is writing your calendar for free. Every honest question is a future post that you already know people want, because they just asked for it out loud.
on-screen: Feed the questions back upstream
expected on screen: black ground · a LegacyCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id LegacyCardvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Feed the questions back upstreamcurate nodes
6s6
matches intent
TerminalRun
template
teach112.4–134.70000000000002skinetic-buildicon·wireframe♪ node_lock
Step five. Build one alert for the comment that matters most: the angry public one. We have the agent flag any reply that reads as upset and surface it to a human first, fast. Speed on a complaint is worth more than a hundred clever replies. Handle the loud unhappy one in public and well, and everyone watching trusts you more.
on-screen: Catch the angry one fast
expected on screen: black ground · a TerminalRun panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id TerminalRunvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Catch the angry one fastcurate nodes
7s7
matches intent
RankList
template
proof134.7–155.2sreceipts-counticon·wireframe♪ node_lock
The honest proof: we run our own replies through this exact sort-and-approve loop, in public, on the studio account. People ask how the machine works and we answer, plainly, with a human checking every line before it goes. The conversation is part of the build. You are reading the system that handles your comment right now.
on-screen: We answer in the open
expected on screen: black ground · a RankList panel over a dimmed Signal Field · Mensor leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id RankListvisual receiptsshape dodecaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→We answer in the opencurate rows, statsLabels
8s8
matches intent
shared field
signature-3d
resolve155.2–179.7scoalescenceicon·wireframe♪ bed_out
So the takeaway: the comments are the second half of the work, so give them a system. Pull every reply to one place, let the model sort and draft, approve before you send, feed the questions upstream, and flag the angry one fast. Your next step: see the open conversation running at office dot temerarii dot xyz, then go answer one real comment today like it mattered.
on-screen: Run the comments like a system
expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape dodecaground blacktreatment wireframemotion coalescencepower coalescenceinstrument coalescence→Run the comments like a system

Format stack 1 aspects · same scenes[], re-cropped

16:9
1920×1080
X/Twitter · YouTube · LinkedIn video

Channels 2 destinations

YouTubeBlog

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

youtubeRun your social comments as a system, not a mood Followers turn into customers in the comments, not the captions. This is how to handle the conversation without living inside your notifications all day. The method: - Pull every comment into one place. Use the same MCP connections that ship your posts to also fetch the replies back, so all the talk lands in one file. You cannot run a community you have to chase across a dozen tabs. - Sort the pile by what each comment needs: a real question, a thank-you, a complaint, or spam. Now you triage like a doctor, not a firehose. - Draft, then you approve. Let the model write replies to the real questions in your voice, but never let it send on its own. The draft saves the blank-page time. The approval keeps the soul. - Feed the questions back upstream. Pipe the most repeated questions into next week's posts. The community is writing your calendar for free. - Catch the angry one fast. Flag any reply that reads as upset and surface it to a human first. Speed on a complaint is worth more than a hundred clever replies. The honest proof: we run our own replies through this exact sort-and-approve loop, in public, with a human checking every line. You are reading the system that handles your comment right now. See the open conversation at office.temerarii.xyz, then go answer one real comment today like it mattered. Keywords: community management, comment triage, MCP reply automation, human approval loop.

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