Elena doesn't need another timeline — she needs sync, montage, and YouTube exports every week. Marco doesn't need feature theater — he needs TikTok highlights from event multicam. Luca needs client footage to stay local; Sara needs captioned lecture cuts for LMS. If that sounds like you: bootstrap once with Docker, drop in 2–4 camera clips, judge from the result. Not from a pitch.
Elena ships a three-camera podcast every week. Her fear: "Will sync and montage cost more evenings than manual editing?" The turning point is dropping one episode's camera files and coming back to a rough cut with styled captions — YouTube master and vertical clips without overnight marathons. Fewer sync headaches, predictable publish rhythm.
Marco covers events with multiple angles and needs TikTok highlights and Reels fast. He needs face-aware 9:16 crop and platform exports without uploading rushes to a cloud timeline. When he can ingest once, tweak rhythm in Settings, and batch vertical cuts, the publish window stops squeezing him. Less release-day stress, footage stays private.
Luca runs client livestreams with sensitive footage — everything must stay on his Docker host, not a random cloud NLE. Sara has lecture multicam she can't edit by hand. Both ask: "Does sync hold up and can it export for multiple platforms?" The answer is one real session, not a demo. If the rough cut and captions are usable, fewer nights hand-syncing angles.
| Concern | Reality | Result |
|---|---|---|
| "Docker looks scary" | ./scripts/bootstrap.sh | FIRST SESSION SAME DAY |
| "My hardware may be weak" | Start with one short multicam test | WORKS FOR EVERYDAY USE |
| "Sync quality?" | Verify on your own camera files | DECIDE WITH REAL DATA |
| "What about long sessions?" | Pipeline runs in Docker background | NO CONSTANT BABYSITTING |
| "What about license?" | Terms TBD on GitHub | EARLY ACCESS |
It sticks when daily anxiety disappears: no guessing where footage goes, no surprise bills, no reinventing your multicam workflow every week.
Elena can explain privacy to sponsors in one sentence. Luca keeps unpublished client events safe. Sara keeps lecture footage local. The default path doesn't force anything online. Less hesitation, more repetition.
Core value arrives before any manual timeline editing. Ingest, sync, montage, captions, exports — then dial rhythm and style in Settings. First week: automate and low-risk; precision when you need it.
Bootstrap with Docker, run one real multicam session — podcast, event, interview, or lecture — and judge sync, rough cut, and exports. Early access on GitHub; license terms TBD. If it works, keep going. If not, you lost an evening, not a subscription.
Bootstrap with Docker, open the dashboard, drop 2–4 camera files. AI sync, montage, and platform exports on your machine — no upload required.
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