
| Channel | Native caption |
|---|---|
| Tiktok | Your best interview is dying in raw footage. Here is the move (AI-assisted): transcribe the whole talk first, then ask a model for the five most quotable lines with timestamps. Tell it the theme so the clips fit a story, not random cuts. #podcast #interview #aitools |
| Great interviews die in raw footage. Transcribe the whole talk. Ask AI for the best lines. Give it the theme. The gold gets found, not buried. #interview #podcasting #contentcreation #aitools #videoediting | |
| A strong interview used to die inside two hours of raw footage nobody had time to scrub. The method: transcribe the full talk so every word is searchable, then ask a model for the most quotable lines with timestamps, guided by the one theme you want. The takeaway: structure the search and the gold gets found, not buried. | |
| X | Interview move: transcribe the whole talk, then ask AI for the five best lines with timestamps. Give it the theme so clips fit a story. The gold gets found. temerarii.com |
| A great interview used to die inside two hours of raw footage. The method: transcribe the full talk, then ask a model for the most quotable lines with timestamps, guided by your theme. The gold gets found, not buried. See it at temerarii.com. | |
| Threads | Your best interview is dying in raw footage. Transcribe the whole talk, ask AI for the five best lines with timestamps, give it the theme. The gold gets found, not buried. |
| AI interview editing workflow: how to find the best moments fast. Transcribe the full talk, then ask a model for quotable lines with timestamps guided by your theme. Evergreen guide to podcast editing, interview clips, and video repurposing. | |
| Bluesky | Interview move: transcribe the whole talk, ask AI for the five best lines with timestamps, give it the theme. The gold gets found, not buried. temerarii.com |
| Youtube | AI Interview Editing: Find The Best Moments In A Two-Hour Talk A great interview used to die inside hours of raw footage nobody had time to scrub. The real method: transcribe the full talk so every word becomes searchable, then ask a model for the five most quotable lines with timestamps. Auto-clips feel random, so tell it the one theme you want and it finds the moments that fit. A long talk becomes a tight cut that keeps only what lands. More at temerarii.com. |
| # | Layer (comp_id · still · tier) | Beat | Timecode | Motion | Logo | Audio | VO / on-screen / caption |
|---|---|---|---|---|---|---|---|
| 1 | ![]() matches intent shared field signature-3d | open | 0–5.2s | spatial-parallax | icon·wireframe | ♪ bed_in | A great interview used to die inside two hours of raw, unwatched footage. on-screen: A great interview died in raw footage |
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · node-graph · spatial-parallax · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape octaground whitetreatment wireframemotion spatial-parallaxpower summoninstrument summon→A great interview died in raw footage | |||||||
| 2 | ![]() matches intent shared field signature-3d | hook | 5.2–10.7s | kinetic-build | icon·wireframe | ♪ node_lock | Nobody had time to scrub the tape and dig out the gold buried inside. on-screen: Nobody had time to dig for gold |
expected on screen: white 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 whitetreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→Nobody had time to dig for gold | |||||||
| 3 | ![]() matches intent NumberedList template | teach | 10.7–15.7s | kinetic-build | icon·wireframe | ♪ node_lock | First move: transcribe the full talk so every word becomes searchable text. on-screen: Transcribe the whole thing first |
expected on screen: white 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 whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Transcribe the whole thing firstcurate items, nodes | |||||||
| 4 | ![]() matches intent RankList template | proof | 15.7–20.9s | receipts-count | icon·wireframe | ♪ node_lock | Then ask a model to pull the five most quotable lines with timestamps. on-screen: Ask AI for the best lines |
expected on screen: white ground · a RankList panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape octaground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Ask AI for the best linescurate rows, statsLabels | |||||||
| 5 | ![]() matches intent StackTrace template | diff | 20.9–25.9s | crossfade-8f | icon·wireframe | ♪ node_lock | Auto-generated clips alone feel random and miss the actual story. on-screen: Auto-clips alone feel random |
expected on screen: white ground · a StackTrace panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StackTracevisual codeshape octaground whitetreatment wireframemotion crossfade-8fpower morphinstrument morph→Auto-clips alone feel randomcurate codeLines, errMsg, errType, fix, frames | |||||||
| 6 | ![]() matches intent ChecklistCard template | teach | 25.9–32.199999999999996s | kinetic-build | icon·wireframe | ♪ node_lock | So you tell it the one theme you want, and it finds the moments that fit. on-screen: Tell it the story you want |
expected on screen: white 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 whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Tell it the story you wantcurate items, nodes | |||||||
| 7 | ![]() matches intent StatScoreboard template | proof | 32.2–37.7s | receipts-count | icon·wireframe | ♪ node_lock | A two-hour talk becomes a tight cut that keeps only the parts that land. on-screen: A two-hour talk becomes a tight cut |
expected on screen: white ground · a StatScoreboard panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape octaground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→A two-hour talk becomes a tight cutcurate pillar, stats, statsLabels | |||||||
| 8 | ![]() matches intent BlueprintGrid template | step | 37.7–42.900000000000006s | kinetic-build | icon·wireframe | ♪ node_lock | Try it: transcribe your last interview and ask for quotable lines with times. on-screen: Transcribe, then ask for timestamps |
expected on screen: white ground · a BlueprintGrid panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id BlueprintGridvisual pipelineshape octaground whitetreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Transcribe, then ask for timestampscurate rows, stages, steps | |||||||
| 9 | ![]() matches intent shared field signature-3d | resolve | 42.9–48.1s | coalescence | icon·wireframe | ♪ bed_out | Now the gold gets found instead of buried, and the guest gets heard. on-screen: The gold gets found, not buried |
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground whitetreatment wireframemotion coalescencepower coalescenceinstrument coalescence→The gold gets found, not buried | |||||||