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One published post, granular — the Social for W37 Sun, its copy, its output-policy format, and the video master it derives from. Part of the day's full output set.
postW37-Sun-social-1kindSocialweekW37daySundate2026-09-13campaignalways-oncadence5/day floor × 9 channels

Copy the published post text

Social Media Management
copy ready · render pending

Output-policy spec format · dimensions (asset_specs.output_policy)

formatnative cut · 9:16 · 1:1 · 16:9 dims1080×1920 · 1080×1080 · 1920×1080 cadence5/day floor × 9 channels

Channels 9 destinations

TikTokInstagramLinkedInX/TwitterFacebookThreadsPinterestBlueskyYouTube

This post a distinct social asset — its own angle, storyboard, and cuts

social-W37-Sun-1
5-distinct-social/day · 9:16 master → 1:1 / 16:9 cuts per channel

Channel-cuts this asset → 9 native captions (one master · per-platform aspect+copy)

ChannelNative caption
TiktokHow publicists actually get press now (AI-assisted): we feed a model a reporter's last year of stories, score your news against their beat, and only pitch people who already cover your topic. No mass blast. #PR #PublicRelations #MediaPitch #AItools #marketing
InstagramStop blasting press lists. Map the reporter's beat first. Pitch the fit, not the inbox. #publicrelations #pitching #mediarelations #startups #pr
LinkedinMost press pitches die unread because they ignore what the reporter actually covers. The method we use: feed a model a journalist's last year of bylines, let it map the real beat, then score your news against it and tailor one angle per outlet. You send fewer pitches and get more replies, because you did the reporter's homework for them. Relevance beats volume every time.
XPress pitches die unread. Fix: map a reporter's last year of stories with AI, score your news against their beat, pitch only the fit. Relevance > volume. temerarii.com
FacebookPublicists used to blast one press list and pray. We map each reporter's real beat with AI, then send one tailored angle to the people who already cover your topic. Want the pitch method? Visit temerarii.com.
ThreadsMost press pitches die in an inbox no one opens. We feed a model a reporter's last year of stories, score your news against their beat, then pitch only the fit. Fewer pitches, more replies. Do their homework for them.
PinterestAI-assisted PR pitching method: map a journalist's beat from past stories, score your news for relevance, tailor one angle per outlet. Public relations tips, media pitching strategy, press outreach that earns coverage.
BlueskyPress pitches die unread. Map a reporter's beat with AI, score your news against it, pitch only the fit. Relevance beats volume. temerarii.com
YoutubeHow Publicists Actually Earn Press Now (AI-Assisted Pitching Method) Most pitches die unread. In this short we break down the real workflow: feed a model a reporter's last year of stories, map what they actually cover, score your news against that beat, and tailor one angle per outlet. You send fewer pitches and get more replies. AI-assisted, human-edited. More at temerarii.com. #PublicRelations #MediaPitching #PR

Composition layer × scene 9 scenes · this post's OWN storyboard (distinct per asset)

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
open0–5.9sspatial-parallaxicon·white-knockout♪ bed_in
Once upon a time a publicist mailed a press kit and prayed a reporter cared.
on-screen: Pitching reporters, the old way
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→Pitching reporters, the old way
2s2
matches intent
shared field
signature-3d
hook5.9–11.8skinetic-buildicon·white-knockout♪ node_lock
Here is the dark truth: most pitches die in an inbox no human ever opens.
on-screen: Most pitches die unread
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→Most pitches die unread
3s3
matches intent
NumberedList
template
teach11.8–21.3skinetic-buildicon·liquid-chrome♪ node_lock
So we do it now with AI: feed a model the last year of a reporter's stories and let it map what they actually cover.
on-screen: Build a reporter map first
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→Build a reporter map firstcurate items, nodes
4s4
matches intent
ComparisonTable
template
proof21.3–28.3sreceipts-counticon·white-knockout♪ node_lock
Then it scores your news against that beat, so you only pitch people who already write your topic.
on-screen: Match your news to their beat
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→Match your news to their beatcurate colA, colB, rows, statsLabels
5s5
matches intent
LogStream
template
diff28.3–35.6scrossfade-8ficon·liquid-chrome♪ node_lock
The old way blasted one list to everyone; the new way sends ten pitches that each fit one person.
on-screen: Relevance beats blasting a list
expected on screen: red ground · a LogStream panel over a dimmed Signal Field · Nuntius leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id LogStreamvisual codeshape torusground redtreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Relevance beats blasting a listcurate codeLines, rows
6s6
matches intent
ChecklistCard
template
teach35.6–44.400000000000006skinetic-buildicon·white-knockout♪ node_lock
We have the model draft three angles per outlet, then a human picks the one that sounds like a friend, not a robot.
on-screen: Draft the angle, you keep the voice
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→Draft the angle, you keep the voicecurate items, nodes
7s7
matches intent
KpiGrid
template
proof44.4–50.699999999999996sreceipts-counticon·liquid-chrome♪ node_lock
A pitch that matches the beat gets read, because you did the reporter's homework for them.
on-screen: A fit pitch gets a reply
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→A fit pitch gets a replycurate kpis, statsLabels
8s8
matches intent
AnnotatedDiagram
template
step50.7–57.0skinetic-buildicon·white-knockout♪ node_lock
Your move: pull their recent work, score the fit, tailor the angle, send one human line.
on-screen: Steps: scrape, score, tailor, send
expected on screen: red ground · a AnnotatedDiagram panel over a dimmed Signal Field · Nuntius leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id AnnotatedDiagramvisual pipelineshape torusground redtreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Steps: scrape, score, tailor, sendcurate callouts, stages, steps
9s9
matches intent
shared field
signature-3d
resolve57.0–62.5scoalescenceicon·white-knockout♪ bed_out
That is how The Big T-M earns the story instead of begging for it.
on-screen: Earn the story, do not beg
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→Earn the story, do not beg

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