The clip above shows a thin crowd in the background filled out across the shot, while the people in front, the camera move and the lighting stay exactly where they were. A change like that, repeated across a dozen similar shots, is exactly the kind of job worth automating instead of running by hand one clip at a time.
That's what it takes to automate video editing with AI once you look past the search term: not a tool that edits a video for you unsupervised, but an agent that can run a list of edits while you're doing something else, and stop for your review before anything ships.
Why "set it and forget it" doesn't quite work
A chat AI can suggest how to batch-process clips, but suggesting isn't doing. To actually automate the work, three things have to exist together:
- A queue. A list of shots or edits the agent can work through in order, not one prompt at a time.
- A real timeline to act on. Placing, trimming and layering clips in a project, not describing what you should do.
- A stopping point. Somewhere the batch pauses so a bad result doesn't overwrite good footage before you've seen it.
Most "AI video automation" tools that disappoint people are missing the second or third piece: they generate a pile of clips with no project to drop them into, or they run unattended with no review gate.
A workflow that holds up
1. Write the instruction once, specific enough to repeat
The instruction has to work across every shot in the batch, so name what changes and what doesn't: "expand the crowd in the background of each shot, keep the people in front, the camera move and the lighting as they are." A vague instruction drifts shot to shot; a specific one repeats cleanly.
2. Queue the batch and set a review gate
Hand the agent the list of shots and set the run mode to review before replacing anything. The agent keeps working through the queue on its own; nothing lands in the final cut until you've looked at it.
Go through shots 4 through 12 and expand the crowd in the background of each one. Keep the foreground subjects, camera move and lighting untouched. Show me each result before replacing the original.
3. Review in batches, not one at a time
Once the queue finishes, scrub through the results together instead of approving each one as it lands. It's faster to spot the one or two shots that need a redo when you're comparing them side by side.
4. Fix only what broke
If a shot in the batch doesn't hold up, rerun just that one with a more specific instruction rather than restarting the whole batch. The rest of the queue already did its job.
5. Hand off what's left
Automate the repetitive VFX and generation passes; keep pacing, music timing and the final color pass as a manual step. Export the cut as EDL, FCPXML or OpenTimelineIO so the rest of the finish happens in the tool you already use.
Where this still needs you
- Picking what's worth automating. A batch works when every shot needs the same change. One-off fixes are still faster by hand.
- Catching the one shot that fails. Even a good instruction can fail on a shot with fast motion or a crowded frame. That's what the review gate is for.
- The creative call. An agent can run the queue; deciding which version of a shot actually belongs in the final cut is still yours.
Run the background swap on all six product shots with the same reference image. Put every result on a track above the original so I can compare before picking.
Queuing variants this way turns the agent into something closer to a very fast assistant editor than a replacement for one.
Download the free Shoty editor to try batching a shot list with an agent. For the instruction pattern that keeps a shot stable while one thing changes, see Claude video editing.