Why so many AI videos sound off

You can tell an AI-made video before you've even spotted a visual flaw. It's almost never the generation that gives it away: it's the editing.

The three signs that always give it away

1. Every shot lasts the same length. You generate five-second shots, string them together, and it becomes a metronome. No film does that. Lively editing alternates one-second shots with six-second ones.

2. Every shot has the same movement. The slow forward tracking shot is the default on every tool. String eight of them together and the viewer feels like they're falling forward endlessly. Mix it up: a shot that moves forward, a static shot, a shot that pans.

3. There's no sound, or just music. This is by far the biggest gap, and the cheapest to fix.

Sound does half the realism work

A generated image becomes credible as soon as a concrete sound matches it. Not music: the noise of the thing itself. Wind in the street, a cup set down on the table, fabric rubbing, rain on the window.

Two layers are enough. A continuous ambient bed underneath, holding the whole sequence together and hiding the seams between shots. And two or three precise sounds, placed at the moments that matter. An ambient track running across a cut makes it invisible: it's the most cost-effective editing trick there is.

The match cut: don't cut between two identical movements

Two forward tracking shots glued together produce an unpleasant jolt. Cut from a movement to a static shot, or from a wide shot to a close-up. The change in shot scale is enough to make the cut clean.

The rule of the shot you throw away

Out of five generated shots, keep four. There's always one you keep because it cost fifteen attempts, not because it's good. That's the shot the viewer will notice. Generosity in the edit always comes back to bite you.

Do this right now: take an AI video that seemed successful to you and time three consecutive shots. If they're all the same length, you'll know why it felt strange.