1

Learn the five-part formula

Every strong prompt carries the same five parts. Example: "A woman in a red coat, walking slowly toward camera, slow dolly-in, rain-lit city street at night, moody and cinematic."

Subject+Action+Camera move+Setting & light+Mood
2

Name the camera move explicitly

Pan, dolly-in, orbit, static, handheld drift. Vague prompts default to generic motion, and generic motion is what makes a clip look AI-made.

3

Separate subject from action

Describe what the subject looks like first, then what it is doing, so the model does not conflate the two into one muddled instruction.

4

Anchor lighting and time of day

"Golden hour", "overcast", "neon-lit night" — this moves the mood more than almost any other single word choice.

Callout

"Golden-hour backlight, 35mm, soft haze" reads as direction. "Nice lighting" reads as noise.

5

Keep one idea per generation

A prompt trying to do five things usually does all five poorly. Split a complex scene into separate shots and assemble them afterwards.

6

Iterate, don't restart

Adjust and regenerate rather than rewriting from zero, and reach for the Enhance control when a student is stuck.

Callout

Common mistake: writing prompts like search queries ("cool video of a car"). Reframe every prompt as a line from a shooting script.

Next up: Style control & export

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