AI video and media
AI made the clips. A video editor makes the piece.
AI accelerates concepting and generation. Finishing still means editing, continuity, pacing, audio, graphics, captions and platform versions. The clip is not the piece. Post the clips; a vetted editor cuts the piece.
The gap
Where the generated version stops.
Generated clips are strong for four seconds and strange at the edges. Hands, text, continuity between shots, lip sync and audio all need a human eye. The story only exists once someone cuts it.
What the video editor does
The work that usually follows.
Not every job needs all of it. Most need more than the requester expected. Each line becomes part of the definition of done or a priced addition.
- Select usable clips; log what is wrong with the rest
- Build the story: order, pacing, what to cut
- Fix continuity, artefacts and framing between shots
- Audio: clean up, voice-over, music, levels
- Graphics, titles, lower thirds and captions
- Fact check anything on screen or spoken
- Versions: aspect ratios, lengths, languages, platforms
- Review, approve, deliver with disclosure and credits
Starter definition of done
What "finished" means for this kind of work.
Edit this when you post, or let the video editor propose a tighter one at Match. It is what they quote against, work toward and submit against, and what you approve against.
Who posts this
Marketing teams, educators, creators, founders with a product explainer, agencies with generated footage.
Who finishes it
Video and motion editors, vetted for exactly this.
Reviewed by a peer in the same craft, proven on a paid trial, with a public record of jobs finished and first-round approval rate.
Post it. A video editor finishes it.
Funded before work starts. Paid when you approve. Every change on the record.