Common AI video prompt mistakes—before you burn credits

Most bad generations come from unclear conflict inside the prompt itself, not from the model “not understanding.” Below are the patterns we see most often—and how to fix them in one or two editing passes.

Contradictory adjectives

“Hyper-realistic cartoon” or “dark bright sunshine” fight each other. Pick one visual direction, or separate passes: first establish realism level, then layer stylization once the base works.

Vague subject and action

“Something cool happens” gives nothing to render. Name the subject, a concrete verb, and a setting clause—three short phrases beat one poetic but empty sentence.

Skipping aspect ratio and crop intent

If you need vertical, say vertical and describe safe margins. Landscape-first prompts often yield compositions that look wrong when cropped.

Ignoring lighting and time of day

Models fall back to bland defaults when light is unspecified. Even “soft office fluorescent” or “blue hour city skylight” anchors exposure and color.

Too many ideas in one generation

Crowded prompts dilute attention. Ship one clear scene; use follow-up iterations for wardrobe changes, camera swaps, or alternate endings.

Never reusing what already worked

When a prompt partially succeeds, copy the winning prefix (subject + lens + lighting) and change only one variable next time—otherwise you throw away signal you already earned.

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Common AI Video Prompt Mistakes (and Fixes) | Veo4 Studio