How do you use AI to review your video edit for pacing and narrative problems?

Upload your assembled rough cut to an AI agent that already holds your script or treatment, and ask an open-ended "what's working, what's not" prompt. The invideo agent returns structured notes on pacing, editorial timing, sound design, and emotional register — in one documented production it caught a reveal cut at the wrong story beat that the director missed.

Run the review as a deliberate pass after you assemble your rough cut. invideo is an agentic video creation tool, and the same invideo agent that holds your project context can analyze an uploaded cut and return editorial notes against it. Here is the process:

1. Make sure the invideo agent holds your narrative context. The review is only as sharp as what the cut is checked against. If your script, shot breakdown, or style document is loaded into the invideo agent's context, the feedback compares your edit to your stated intent — not to generic editing taste. In one documented production, the reviewing agent held a brief built around five escalating emotional stages, each with locked rules for camera, lighting, and sound, and used those stages as the yardstick for the cut.

2. Assemble your rough cut and upload the file. Cut your selects together in your editor, export a draft in your film's delivery format, and upload the video file to the invideo agent.

3. Ask open-ended, not checklist questions. Prompt "what's working, what's not?" rather than "is the pacing okay?" An open prompt lets the invideo agent flag problems you didn't think to ask about — pacing errors, SFX gaps, and emotional register mismatches all surface from the same pass.

4. Act on the structural notes first, then re-cut and re-run. The highest-value catches are narrative, not technical. In a ~90-second horror short produced in 2 days for $870 (400 video generations), the review pass caught that the entity's reveal shot — the first moment it appears clearly — was running at Stage D emotional intensity when the story structure called for Stage C, meaning the cut played its scare at full force one beat too early. The director had missed it; the AI flagged it because the staged structure was in its context. Re-cut against the notes, then run another pass if the changes were significant.

One distinction worth knowing: the AI features built into standard editing software automate captions, trims, stabilization, and color — task automation, not editorial judgment — whereas this pass delivers structural feedback on your narrative, cross-referenced against your own brief. It's also the step most commonly skipped in AI-directed filmmaking workflows, so schedule it explicitly after assembly.

Watch some of these to see what works for you:

it got one thing that I would have never noticed, the entities reveal shot. The moment it first appears clearly was running at the wrong stage register.

— invideo's creative team, on the AI review pass of a rough cut