How to Write Better AI Video Prompts: A Practical Framework
Learn how to structure AI video prompts around subject, action, camera, environment, timing, and constraints so every generation is easier to evaluate and revise.

The short answer
An effective AI video prompt explains what the viewer should see, what moves, how the camera moves, what stays consistent, and how the shot should feel over time. More adjectives do not automatically create more control.
Start with a shot brief, generate one clear version, then change one variable at a time. This makes failures diagnosable and makes successful prompts reusable.
The six-part prompt formula
- Subject: who or what is in the shot?
- Action: what does the subject do?
- Camera: what framing, lens feel, and movement should the viewer experience?
- Environment: where does the shot happen and what supports the action?
- Timing: what happens first, during the middle, and at the end?
- Constraints: what must remain stable or be excluded?
A reusable template
[shot size] of [subject] [performing action] in [environment]. The camera [camera movement] with [lens or visual feel]. [Lighting and atmosphere]. During the shot, [timed beat]. Keep [important invariants] consistent. Avoid [failure modes].
The template is intentionally plain. It gives the model a sequence of decisions instead of a pile of disconnected style words.
Weak prompt versus directed prompt
Weak prompt:
A beautiful cinematic woman walking in a city, dramatic, realistic, high quality.
Directed prompt:
Medium tracking shot of a woman in a dark green coat walking past a rain-wet market street at blue hour. The camera moves beside her at walking speed with a natural 35mm documentary feel. Warm shop light reflects in the pavement while distant umbrellas move softly in the background. She looks toward one glowing window near the end of the shot. Keep her coat color, face, and walking direction consistent; avoid sudden camera jumps and extra foreground people.
The second prompt defines a subject, action, camera, environment, timing, and constraints. It also leaves enough room for the model to create a coherent scene.
Write motion before style
When a generation feels static, add a specific motion beat before adding more visual adjectives:
- A curtain lifts as a breeze enters the room.
- The camera slowly pushes in while the subject turns toward the light.
- A product rotates once while the background remains fixed.
- The character takes two steps, pauses, and looks past the camera.
Describe what moves and what does not. This is especially important for image-to-video work.
Use constraints as guardrails
Constraints are useful when the output must preserve something:
- Keep the product silhouette unchanged.
- Keep the subject’s face and wardrobe consistent.
- Keep the logo area clear and undistorted.
- Keep the camera movement slow and continuous.
- Avoid new characters, text, or scene changes.
Do not add every possible constraint to every prompt. Choose the two or three failures that would make the shot unusable.
Iterate scientifically
Generate a first pass, then classify the problem:
| Problem | Change next |
|---|---|
| Wrong subject | Clarify the noun and its visual attributes |
| Wrong action | Describe one action with a clear start and end |
| Unstable camera | Name one camera movement and a speed |
| Temporal drift | Add invariants and reduce simultaneous actions |
| Flat composition | Define shot size, depth, and foreground/background |
| Unusable product frame | Start with a controlled reference image |
Change one category per iteration. If you change the subject, lighting, camera, and duration together, you will not know which adjustment helped.
Put the prompt into a production workflow
Use Image Studio or Cinema Studio when the first frame needs careful design. Use Video Studio to add motion, then use Lip Sync Studio or Clipping Studio when the final deliverable requires speech or multiple aspect ratios.
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