Generative video tops out on short clips with unstable motion and no real continuity. AI video generation improves monthly, yet these limits shape your edit. Plan shots around what the model cannot hold for more than a few seconds, and you stop fighting the tool.
Every impressive demo you see obeys these limits too. Its creator picked the one frame range that worked and cut everything else. Your raw output will contain the failures they trimmed away, and that is the honest version of what you are buying.
Read release notes with the same skepticism. Monthly updates change the numbers in the demo, while the physics problems underneath tend to move at a slower pace than the marketing suggests.
Quality falls as a clip gets longer. Objects drift, faces change shape, and backgrounds quietly rearrange themselves after the first few seconds. The model is predicting frames, not remembering a scene, and prediction drifts the longer you hold it. You can watch the drift happen in real time if you freeze a clip on screen.
This is why the strongest generated footage lives in two-to-four-second windows. Write your b-roll plan in those windows and the failures stop surprising you. Design around decay instead of hoping it disappears.
Some tools now offer extensions that continue a clip past its natural length. Treat those as separate shots, because the model restarts its guesses and the second half rarely matches the first.
Fine detail survives at a distance and collapses up close. Fabric weave, screen content, and small print turn to mush when the camera pushes in, because the model guesses at pixels it never really understood.
Rendered text is a reliable failure. Signs, labels, and on-screen interfaces come out with letter-shaped noise that reads fine at speed and falls apart the moment a viewer pauses. Replace text in post or avoid shots that need it.
Fine detail also costs you time in review. Scanning every frame at full resolution takes longer than the generation did, which is a hidden tax on any clip that features small objects or precise surfaces.
Judge generative video by its worst frame, not its best screenshot.
Simple camera moves hold up. Slow pushes, gentle pans, and floating drift all work because the model only has to keep a scene roughly stable. Complex action is where physics gives out.
Water, crowds, and anything with contact between objects will wobble. A hand touching a table, a foot meeting a stair, a liquid pouring into a glass: each one is a small exam the model often fails. Crowd scenes are worse, since the model cannot decide how many people it has already drawn.
When a shot needs real interaction, film the interaction. No amount of prompt wording teaches a model how weight works.
Pick subjects that are forgiving: skies, smoke, distant traffic, slow fabric. These have no canonical correct state, so a plausible guess is indistinguishable from the truth.
Keep shots short, cut on motion, and hide the seam with a hard edit rather than a dissolve. Dissolves hold both frames on screen long enough for viewers to study the errors.
Keep a private reel of your successes. Every model has pockets where it behaves well, and knowing your own pockets turns generation from a lottery into a shortlist.
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