Ship long-form depth as short-form clips — without losing the nuance.

You have the depth. The platform rewards the hook. There’s a 6-hour gap.

• Your best ideas live in 60-minute talks the algorithm hates

  A masterclass, conference talk or research interview is your strongest format — but it doesn’t travel. The 30-second insight that *would* travel is buried at minute 37, with no time to mine it manually each week.

• Generic AI editors flatten the nuance

  Most short-form AI tools optimise for "look excited, big text". For an expert, that destroys credibility — you sound like a hype account. You need cuts that respect your tone, captions that get the terminology right, and pacing that doesn’t turn a thoughtful argument into a TikTok dance.

• A research assistant or freelancer doesn’t know your field

  They cut where the camera moves, not where the *argument* lands. By the time you’ve briefed them on which 30 seconds of a 60-minute talk to extract, you could have done it yourself — except you don’t have the time, week after week.

• You don’t have a brand team — and shouldn’t need one

  You’re a researcher, lawyer, doctor, engineer, founder. Hiring an editor + a brand designer + a captions QA + a scheduler to ship 3 reels a week is absurd. The job needs to be one tool, one workflow, one hour a week.

From a 60-minute talk to a week of reels — without losing your voice.

1. 1. Drop in your talk, lecture or interview

   Upload any 30–120 minute recording: keynote, panel, research interview, podcast guest spot, university lecture. The pipeline transcribes it with domain-aware vocabulary — technical terms, names, jargon — and shows you the full transcript with timestamps.

2. 2. Autopilot ranks the strongest standalone insights

   A narrative-aware model finds windows where you said something specific, complete in 30–60 seconds, with a clear hook and a payoff. You see 8–12 ranked candidates with one-line rationale ("why this works as a standalone clip") — approve or skip in a minute.

3. 3. Reels render with your tone, your captions, your brand

   Each approved insight becomes a vertical reel: caption styling that matches your existing channel (no clickbait font), pacing that respects pauses and emphasis, B-roll inserted only where it adds context — not constant cuts. Need a tweak? Co-editor in plain English; Manual timeline for frame-level edits.

Common questions from subject-matter experts

• Will the captions get my technical terminology right?+

  The transcription model handles technical English well across academic, legal, medical and engineering vocabulary. You can also add a per-project glossary so recurring terms (case names, gene names, frameworks, product names) always render correctly. Captions are reviewable in the timeline before render.

• Will my reels look credible — or will they all look like generic AI hype clips?+

  Brand presets cover font, caption style, colour, lower-thirds, intro/outro card, watermark, and a "tone" preference (calm vs punchy). The AI does the cutting; the visual layer is yours. Output looks like *your* channel — not generic short-form template.

• Can I export with timestamps mapped back to the source long-form?+

  Yes. Every reel exports with metadata embedding the source filename and the source timestamp range. Useful for citing a clip back to a paper, talk URL or podcast episode in the post caption — and for re-finding the moment in the original recording.

• What if my talk is in slides + voice-over format, not a talking head?+

  Voice-over recordings work — the pipeline operates on the audio track for transcript, narrative scoring and captions. For visual, you supply the screen recording or slide deck export and the renderer composes it as the background of the vertical reel. Talking head + slides hybrid is supported the same way.

Read the workflow

Read the playbook