Back Office · office.temerarii.xyz
One published post, granular — the Social for W49 Mon, its copy, its output-policy format, and the video master it derives from. Part of the day's full output set.
postW49-Mon-social-5kindSocialweekW49dayMondate2026-12-07campaignlongform-youtubecadence5/day floor × 9 channels

Copy the published post text

Minus the Hype
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

thread-minus-the-hype-W49-Mon
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
TiktokThe pitch: ask AI about your rivals and get a perfect market map. Real method: a scraper pulls their live pages and prices, then the model sums up only what it just read. Trust model memory and you build strategy on a fact that was never true. (AI-assisted)
Instagram"AI does your competitive research." Reality: scrape live, then summarize. A scraper pulls rivals' real pages and prices. The model sums up only what it just read. Trust its memory and you bet on a fake fact. #competitiveresearch #ai #firecrawl #strategy #buildinpublic
LinkedinThe pitch: ask AI about your competitors and get a perfect market map. Our real method: a scraper pulls competitors' live pages and pricing through Firecrawl, and the model summarizes only what it just read. The cost of skipping that step is real. Trust the model's memory and you build a strategy on a competitor fact that was never true. Ground the model in fresh data. Then let it summarize.
X"AI does your competitive research." Reality: a scraper pulls rivals' live pages and prices, then the model sums up only what it just read. Trust its memory and you bet on a fact that was never true. temerarii.xyz
FacebookThe pitch says AI can map your whole market for you. The real method is simpler: a scraper pulls your competitors' live pages and pricing, then the model summarizes only what it just read. Trust the model's memory instead and you can build a strategy on a fact that was never true. Ground it in fresh data first.
Threads"AI does your competitive research." Reality: scrape live, then summarize. A scraper pulls rivals' real pages and prices. The model sums up only what it just read. Trust its memory instead and your strategy rests on a fact that was never true.
PinterestHow to do AI competitive research the right way: scrape competitors' live pages and pricing with a tool like Firecrawl, then have the model summarize only the fresh data it just read. Skip the scrape and trust model memory, and you risk building strategy on a competitor fact that was never true.
Bluesky"AI does your competitive research." Reality: scrape rivals' live pages and prices first, then have the model sum up only what it just read. Trust its memory and you bet on a fact that was never true.
YoutubeTitle: AI Competitive Research, Minus the Hype: Scrape Live, Then Summarize The pitch says you can ask AI about your competitors and get a perfect market map. The real method: a scraper pulls competitors' live pages and pricing through Firecrawl, and the model summarizes only what it just read. The cost of trusting model memory instead is a strategy built on a competitor fact that was never true. More at temerarii.xyz.

Composition layer × scene 5 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
hook0–5.1skinetic-buildicon·wireframe♪ node_lock
The intel pitch: ask AI about your competitors and get a perfect market map.
on-screen: "AI does your competitive research"
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape tetraground whitetreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI does your competitive research"
2s2
matches intent
JsonDiff
template
diff5.1–12.8scrossfade-8ficon·wireframe♪ node_lock
Our real method: a scraper pulls rivals' live pages and prices, then the model sums up only what it just read.
on-screen: Reality: scrape live, then sum up
expected on screen: white ground · a JsonDiff panel over a dimmed Signal Field · Nexus leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id JsonDiffvisual codeshape tetraground whitetreatment wireframemotion crossfade-8fpower morphinstrument morph→Reality: scrape live, then sum upcurate codeLines, fileName, lines
3s3
matches intent
ChecklistCard
template
teach12.8–19.1skinetic-buildicon·wireframe♪ node_lock
The real cost of trusting model memory is a strategy built on a competitor fact that was never true.
on-screen: The cost: strategy on a hallucination
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape tetraground whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: strategy on a hallucinationcurate items, nodes
4s4
first render · fix pending
RankList
templatedead_airgeneric_scene
proof19.1–24.1sreceipts-counticon·wireframe♪ node_lock
Minus the Hype
expected on screen: white ground · a RankList panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id RankListvisual receiptsshape tetraground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate rows, statsLabels
5s5
first render · fix pending
shared field
signature-3ddead_airgeneric_scene
resolve24.1–29.1scoalescenceicon·3d-extrude♪ bed_out
Minus the Hype
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · coalescence · coalescence · icon·3d-extrude logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape tetraground whitetreatment 3d-extrudemotion coalescencepower coalescenceinstrument coalescence→Minus the Hype

Cross-links this post in the day's output set