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postW30-Sun-social-1kindSocialweekW30daySundate2026-07-26campaigncase-studiescadence5/day floor × 9 channels

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Interviews & Discussion

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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-W30-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)

Channel	Native caption
Tiktok	POV: you stop scrubbing interview footage forever. Transcribe with Whisper, get word-level timestamps, then cut on meaning instead of silence. One sit-down = ten clips. (AI-assisted edit, real human guest.)
Instagram	One conversation. Ten clips. Transcribe first → cut on meaning → publish all week. The talk edits itself. #interviews #contentworkflow #aiediting #creatorlife #temerarii
Linkedin	Interview content used to mean a crew and a week of edits. The unlock isn't a fancy camera, it's a transcript. Run the audio through Whisper for word-level timestamps, jump straight to each clean answer, and cut on meaning instead of silence. One sit-down becomes ten clips, each tagged with the exact words spoken. Takeaway: transcribe before you trim.
X	Stop scrubbing interview footage. Transcribe with Whisper, get word-level timestamps, cut on meaning not silence. One talk = ten clips. temerarii.xyz
Facebook	Interview shows used to eat a crew and a full week of edits. The fix is simple: transcribe the raw audio with Whisper, use the word-level timestamps to find every clean answer, and cut on meaning instead of silence. One sit-down turns into ten clips. Want the full workflow? It's on the site.
Threads	Interview editing trick: transcribe the raw audio first, get word-level timestamps, then cut on meaning, not silence. One sit-down becomes ten clips. The talk basically edits itself.
Pinterest	How to turn one interview into ten clips: transcribe audio with Whisper for word-level timestamps, find clean answers fast, and cut on meaning instead of silence. Interview editing workflow, content repurposing, video production tips for creators and small studios.
Bluesky	Interview editing: transcribe with Whisper → word-level timestamps → cut on meaning, not silence. One talk = ten clips. temerarii.xyz
Youtube	How One Interview Becomes Ten Clips (Transcribe-First Editing) We used to spend a week editing a single interview. Now the talk almost edits itself. In this short we break down the transcribe-first method: record the raw conversation, run the audio through Whisper for word-level timestamps, jump to each clean answer, and cut on meaning instead of silence. One sit-down becomes ten honest clips. Transcribe first, pick by timestamp, then trim. Made with The Big T-M. AI-assisted edit, real human guest. more at temerarii.xyz

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

#	Layer (comp_id · still · tier)	Beat	Timecode	Motion	Logo	Audio	VO / on-screen / caption
1	still pending matches intent shared field signature-3d	open	0–5.5s	spatial-parallax	icon·ember-fill	♪ bed_in	An interview show used to eat a whole crew and a week of edits. on-screen: The interview used to eat days
	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→The interview used to eat days
2	still pending matches intent shared field signature-3d	hook	5.5–11.4s	kinetic-build	icon·wireframe	♪ node_lock	Now the talk almost edits itself, and the guest never has to repeat a thing. on-screen: Now the talk edits itself
	expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape octaground blacktreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→Now the talk edits itself
3	still pending matches intent NumberedList template	teach	11.4–16.6s	kinetic-build	icon·wireframe	♪ node_lock	Record the raw chat, then run the audio through Whisper for word-level timing. on-screen: Record raw, then transcribe with Whisper
	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→Record raw, then transcribe with Whispercurate items, nodes
4	still pending matches intent ComparisonTable template	proof	16.6–22.1s	receipts-count	icon·wireframe	♪ node_lock	Those timestamps let The Big T-M jump straight to each clean answer, no scrubbing. on-screen: Timestamps find every clean answer
	expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape octaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Timestamps find every clean answercurate colA, colB, rows, statsLabels
5	still pending matches intent JsonDiff template	diff	22.1–28.700000000000003s	crossfade-8f	icon·wireframe	♪ node_lock	Most tools cut on silence. We cut on meaning, so the point lands and the filler dies. on-screen: We cut on meaning, not silence
	expected on screen: black ground · a JsonDiff panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id JsonDiffvisual codeshape octaground blacktreatment wireframemotion crossfade-8fpower morphinstrument morph→We cut on meaning, not silencecurate codeLines, fileName, lines
6	still pending matches intent ChecklistCard template	teach	28.7–35.3s	kinetic-build	icon·wireframe	♪ node_lock	Feed the transcript to a model and ask it for the strongest forty seconds for each topic. on-screen: Ask the model for the best 40
	expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Ask the model for the best 40 secondscurate items, nodes
7	still pending matches intent KpiGrid template	proof	35.3–40.8s	receipts-count	icon·wireframe	♪ node_lock	One sit-down becomes ten honest clips, each one tagged with the exact words spoken. on-screen: One sit-down becomes ten clips
	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→One sit-down becomes ten clipscurate kpis, statsLabels
8	still pending matches intent FlowSchematic template	step	40.8–46.699999999999996s	kinetic-build	icon·wireframe	♪ node_lock	Your move: transcribe first, pick by timestamp, then trim. The edit gets boring and fast. on-screen: Your move: timestamp before you trim
	expected on screen: black ground · a FlowSchematic panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id FlowSchematicvisual pipelineshape octaground blacktreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Your move: timestamp before you trimcurate stages, steps
9	still pending matches intent shared field signature-3d	resolve	46.7–53.0s	coalescence	icon·ember-fill	♪ bed_out	Talk once, publish all week. The conversation stops being a project and starts being a habit. on-screen: Talk once, publish all week
	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→Talk once, publish all week

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