Back Office · office.temerarii.xyz
One published post, granular — the Social for W35 Thu, its copy, its output-policy format, and the video master it derives from. Part of the day's full output set.
postW35-Thu-social-5kindSocialweekW35dayThudate2026-09-03campaignlongform-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-W35-Thu
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
Tiktok"AI does your customer research" they say. What works: record real customer calls, transcribe them with Whisper, then let the model cluster the actual quotes. The cost: you still have to talk to humans. (AI-assisted)
Instagram"AI does customer research" Not from thin air it doesn't. Record the calls. Transcribe with Whisper. Let the model cluster real quotes. The cost: you still talk to humans. #customerresearch #ai #whisper #productmarketing #voiceofcustomer
Linkedin"AI will tell you what customers want" is the pitch. It can't invent what your customers said, it can only organize it. What works: record real customer calls, transcribe them with Whisper, and let the model cluster the actual quotes into themes. The insight comes from the words they used, not a guess. The honest cost: you still have to talk to humans. Record and transcribe your next three customer calls.
X"AI does customer research" can't invent what customers said. Record real calls, transcribe with Whisper, let the model cluster the actual quotes. The cost: you still have to talk to humans. temerarii.xyz/build
Facebook"AI does your customer research" sounds nice, but it can't tell you what it never heard. What works: record real customer calls, transcribe them with Whisper, and let the model cluster the actual quotes into themes. The catch is you still have to talk to humans. Record and transcribe your next three calls.
Threads"AI does customer research" they say. It can't invent what your customers told you. Record real calls, transcribe with Whisper, let the model cluster the actual quotes. The cost is the part nobody likes: you still have to talk to humans.
PinterestHow to do real customer research with AI. The method: record actual customer calls, transcribe them with Whisper, then let the model cluster the real quotes into themes. AI organizes what customers said, it can't invent it. The honest cost is you still have to talk to humans. Voice of customer research method for marketers.
Bluesky"AI does customer research" can't invent what customers said. Record real calls, transcribe with Whisper, let the model cluster the actual quotes. The cost: you still have to talk to humans.
YoutubeTitle: AI Customer Research, Minus the Hype (Transcribe, Then Cluster) "AI will tell you what customers want" is the promise, but it can't invent what it never heard. The method that works: record real customer calls, transcribe them with Whisper, and let the model cluster the actual quotes into themes. The insight lives in the words your customers used. The honest cost: you still have to talk to humans. Record and transcribe your next three calls.

Composition layer × scene 5 scenes · this post's OWN storyboard (distinct per asset)

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
first render · fix pending
shared field
signature-3ddead_air
hook0–5.0skinetic-buildicon·liquid-chrome♪ node_lock
AI will tell you what customers want, they say, as if it can read minds it never met.
on-screen: "AI does customer research"
expected on screen: black ground · icosa hero in the shared Signal Field · Signum leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape icosaground blacktreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI does customer research"
2s2
matches intent
StackTrace
template
diff5.0–12.6scrossfade-8ficon·ember-fill♪ node_lock
What works: record real customer calls, transcribe them with Whisper, and let the model cluster the actual quotes.
on-screen: Transcribe, then cluster
expected on screen: black ground · a StackTrace panel over a dimmed Signal Field · Signum leads · code · crossfade-8f · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id StackTracevisual codeshape icosaground blacktreatment ember-fillmotion crossfade-8fpower morphinstrument morph→Transcribe, then clustercurate codeLines, errMsg, errType, fix, frames
3s3
matches intent
NumberedList
template
teach12.6–18.5skinetic-buildicon·wireframe♪ node_lock
The cost is you still have to talk to humans. Record and transcribe your next three customer calls.
on-screen: The cost: real conversations
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Signum leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id NumberedListvisual node-graphshape icosaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: real conversationscurate items, nodes
4s4
first render · fix pending
RankList
templatedead_airgeneric_scene
proof18.5–23.5sreceipts-counticon·white-knockout♪ node_lock
Minus the Hype
expected on screen: black ground · a RankList panel over a dimmed Signal Field · Signum leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id RankListvisual receiptsshape icosaground blacktreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate rows, statsLabels
5s5
first render · fix pending
shared field
signature-3ddead_airgeneric_scene
resolve23.5–28.5scoalescenceicon·liquid-chrome♪ bed_out
Minus the Hype
expected on screen: black ground · icosa hero in the shared Signal Field · Signum leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape icosaground blacktreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→Minus the Hype

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