How to Write AI Video Prompts: A Complete Guide from Structure to Camera Language

How to Write AI Video Prompts: Start with the Core Formula

How do you write AI video prompts? The answer in one sentence: describe the shot using a "Subject + Action + Scene + Camera Language + Style + Technical Parameters" structure, so the model clearly knows "who is doing what, where, how it's shot, and in what style." Unlike text-to-image, the core of video prompting is describing a dynamic process, not a static frame. A good prompt must include change over time.

Here's an example. Weak prompt: "A cat walking." Strong prompt: "Cinematic shot, an orange tabby cat slowly walking toward the camera in a rain-soaked alley, neon lights reflecting on the wet pavement in the background, shallow depth of field, slow dolly out, cool color grading, 24fps film look." The gap between the two outputs is huge—the latter clearly constrains composition, motion, and atmosphere.

The Six Building Blocks of a Video Prompt

1. Subject

Clearly describe the core object in the frame, including appearance details. Don't write "a person"—write "a middle-aged man in a dark grey trench coat, short hair, stubble." The more specific the details, the less room the model has to improvise.

2. Action

This is what separates video prompts from image prompts. Actions should describe direction, speed, and magnitude of motion: "quickly turns to the left," "slowly raises her head," "the person stays still while the camera pushes in." Avoid vague, information-free phrases like "is moving" or "has motion."

3. Scene

Establish time, place, and lighting: "a seaside boardwalk at dusk," "inside a convenience store late at night, cold white fluorescent lighting." Lighting descriptions have an enormous impact on the final look—always include them.

4. Camera Language

This is what most beginners miss. We'll cover it in detail in the next section.

5. Style

Specify the visual style: "realistic documentary style," "Studio Ghibli anime style," "cyberpunk," "8mm film look." Style keywords help keep a consistent look across multiple shots.

6. Technical Parameters

Things like "shallow depth of field," "slow motion," "4K," "film grain." Some models support resolution and frame rate controls—just add these at the end of the prompt.

Essential Camera Language Vocabulary

Most AI video models understand professional cinematography terms. Using them well dramatically improves how professional your footage looks:

• Push in / Dolly in: the camera moves toward the subject, creating tension or focus
• Pull out / Dolly out: the camera moves away from the subject, revealing the environment
• Pan: horizontal rotation, e.g. "the camera pans slowly from left to right"
• Tracking shot: follows the subject, e.g. "the camera tracks alongside a running character"
• Crane / Aerial: vertical movement, e.g. "the camera rises from ground level to a bird's-eye view"
• Static / Locked shot: no movement, ideal for highlighting the subject's own actions
• Orbit / 360°: circles around the subject, common in product showcases

Rule of thumb: specify only one primary camera movement per prompt. Asking for push, pull, pan, and tracking all at once confuses the model, producing jittery frames or chaotic motion.

Tip: camera movements written in the first half of a prompt usually carry more weight than those at the end. If your output ignores a camera instruction, move it to the beginning of the prompt and try again.

How Different Models Respond to Prompts

Different models parse prompts differently, and the same sentence can produce noticeably different results across platforms. Understanding these differences saves a lot of trial and error:

General advice: test your prompt on a short 3–5 second clip first. Once the motion direction and style look right, extend to longer clips or multi-shot sequences.

Step by Step: Write Your First Usable Prompt from Scratch

1. Define the shot's goal: decide what emotion or information this shot should convey before piling on adjectives.
2. Write subject and action: describe "who is doing what" in one sentence, including direction and speed.
3. Add scene and lighting: include time, place, and light direction.
4. Specify one camera movement: pick just one, and clearly state its direction and pace.
5. Add style and technical parameters: put style words at the end, and reuse the same style keywords across generations for multi-shot consistency.
6. Generate and iterate: examine the result, identify which element wasn't executed correctly, and modify only that element—don't rewrite the whole prompt.
7. Save winning templates: store your best-performing prompts as templates and just swap the subject and scene for reuse.

Common Mistakes and How to Fix Them

• Frozen or barely moving footage: the action description is too weak. Add explicit verbs and directions, like "the wind blows through her long hair and dress."
• Chaotic motion or warped frames: too many actions requested at once. Break it into multiple short shots generated separately.
• Inconsistent style: different style words in each prompt. Lock in one set of style keywords as a template.
• Camera instructions ignored: move the camera language to the front of the prompt, or use the model's built-in camera control parameters.
• Subject appearance drift: the description isn't specific enough, or the clip is too long. Shorten the clip duration, or use image-to-video to lock the subject.

Final Thoughts

Writing AI video prompts is essentially directing with words: you decide the subject, action, scene, camera movement, and style on the model's behalf. Once you master the "six building blocks + single camera movement + short-clip iteration" approach, your prompt quality will steadily improve. Start practicing with the simplest combination—a static shot plus a single action—then gradually add camera movements and complex scenes, and build your own prompt template library. That's the real key to long-term efficiency.