Social — W25 Wed — Temerarii Media Back Office

postW25-Wed-social-4kindSocialweekW25dayWeddate2026-06-24campaignlongform-youtubecadence5/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-W25-Wed-4

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	How we cut a long interview fast (AI-assisted): edit the transcript, not the timeline. Transcribe it, delete the flat lines as text, the clips drop with them. Let AI mark the strong quotes. #videoediting #podcasting #contentcreation
Instagram	Edit the words, not the tape. Transcribe, cut flat lines as text. Clips drop with them. #videoediting #podcast #contentcreation #editing #filmmaking
Linkedin	Cutting a long interview by scrubbing footage wastes days. The method: transcribe first and edit the transcript as text, so deleting a flat sentence drops the matching clip. The takeaway: reading is faster than scrubbing. Let a model mark the strong quotes so you build the cut around them.
X	Cut long interviews fast: edit the transcript, not the timeline. Delete flat lines as text, clips drop too. AI marks the quotes. temerarii.xyz
Facebook	Scrubbing footage to cut a long interview eats days. We transcribe first and edit the words: delete a flat line as text and the clip drops with it. AI marks the strong quotes. Method's on the site.
Threads	Editing trick: cut the transcript, not the timeline. Transcribe the interview, delete flat lines as text, and the clips drop with them. Let AI mark the quotable moments first.
Pinterest	Video editing method: edit the transcript instead of the timeline. Transcribe your interview, cut flat lines as text, and the clips drop with them. Let AI mark the strong quotes. Video editing tips, podcasting workflow, content creation.
Bluesky	Cut long interviews by editing the transcript, not the timeline. Delete flat lines as text, clips drop too. temerarii.xyz
Youtube	Edit the Transcript, Not the Timeline (Fast Interview Cuts) Scrubbing footage to cut a long interview wastes days. We show the method: transcribe first and edit the transcript as text, so deleting a flat sentence drops the matching clip. Reading is faster than scrubbing. Let a model mark the strong quotes so you build the cut around the gold.

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	0–5.2s	spatial-parallax	icon·white-knockout	♪ bed_in	The old way of cutting a long interview ate days of scrubbing footage. on-screen: Editing a long talk took days
	expected on screen: red ground · octa hero in the shared Signal Field · Lumen leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape octaground redtreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→Editing a long talk took days
2	still pending matches intent shared field signature-3d	hook	5.2–10.4s	kinetic-build	icon·white-knockout	♪ node_lock	Here is the move now: we treat the transcript as the editing timeline. on-screen: Now the transcript is the timeline
	expected on screen: red ground · octa hero in the shared Signal Field · Lumen leads · mark · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape octaground redtreatment white-knockoutmotion kinetic-buildpower laser-lockinstrument laser-trace→Now the transcript is the timeline
3	still pending matches intent NumberedList template	teach	10.4–15.600000000000001s	kinetic-build	icon·liquid-chrome	♪ node_lock	Transcribe the talk, then cut the boring lines as text, not as video. on-screen: Transcribe first, then cut the words
	expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape octaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Transcribe first, then cut the wordscurate items, nodes
4	still pending matches intent ComparisonTable template	proof	15.6–21.1s	receipts-count	icon·white-knockout	♪ node_lock	Delete a flat sentence in the text and the matching clip drops out too. on-screen: Delete a sentence, the clip cuts too
	expected on screen: red ground · a ComparisonTable panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape octaground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Delete a sentence, the clip cuts toocurate colA, colB, rows, statsLabels
5	still pending matches intent LogStream template	diff	21.1–26.3s	crossfade-8f	icon·liquid-chrome	♪ node_lock	Reading is faster than scrubbing. You find the gold by skimming, not seeking. on-screen: Editing words is faster than scrubbing
	expected on screen: red ground · a LogStream panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id LogStreamvisual codeshape octaground redtreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Editing words is faster than scrubbingcurate codeLines, rows
6	still pending matches intent ChecklistCard template	teach	26.3–31.3s	kinetic-build	icon·white-knockout	♪ node_lock	Let a model read the transcript and mark the lines worth keeping. on-screen: Let AI mark the strong quotes
	expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Let AI mark the strong quotescurate items, nodes
7	still pending matches intent KpiGrid template	proof	31.3–36.3s	receipts-count	icon·liquid-chrome	♪ node_lock	It surfaces the quotable moments so you build the cut around them. on-screen: It surfaces the quotable moments
	expected on screen: red ground · a KpiGrid panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape octaground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→It surfaces the quotable momentscurate kpis, statsLabels
8	still pending matches intent CheatSheet template	step	36.3–41.5s	kinetic-build	icon·white-knockout	♪ node_lock	Transcribe, let AI mark the strong quotes, then cut the dull text out. on-screen: Transcribe, mark quotes, cut the text
	expected on screen: red ground · a CheatSheet panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id CheatSheetvisual pipelineshape octaground redtreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Transcribe, mark quotes, cut the textcurate points, stages, steps, uses
9	still pending matches intent shared field signature-3d	resolve	41.5–46.7s	coalescence	icon·white-knockout	♪ bed_out	The Big T-M edits the words first, and the video follows the text. on-screen: The Big T-M edits the words
	expected on screen: red ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→The Big T-M edits the words

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