The Anatomy of an AI Video Prompt

AI video prompting is more demanding than image prompting. You're not describing a single frame — you're describing motion, time, and change. Every element that can go wrong in an image becomes five times more likely to go wrong across 8 seconds of video. Structure is the only thing that keeps it consistent.

This article covers the structure that works: the bracket format, the motion-first principle, identity lock, camera specification, and duration. It's model-agnostic — the same structure applies to Seedance 2.0, Kling 3.0, Runway Gen-4, and every video model that comes after them.

Why Video Prompts Need More Structure Than Image Prompts

In a single image, a vague subject description produces a generic image. In a video, a vague subject description produces a different-looking person in every frame. The model isn't just guessing the subject once — it's regenerating its interpretation of the subject across every frame, and without explicit anchoring it will drift.

Motion introduces another layer. The model needs to understand what's moving, how it's moving, at what speed, and from what camera angle — all simultaneously. Without clear structure, motion instructions bleed into subject descriptions, camera movements get conflated with subject movements, and the output becomes incoherent.

The Bracket Format

The bracket format organises video prompt elements into labelled sections. The model parses each section separately, which prevents element bleeding and produces significantly more consistent results.

You don't need all six sections for every prompt. Short lifestyle clips might only need [MOTION], [SUBJECT], [ENV], and [DURATION]. Complex cinematic sequences need all of them. The key is: whatever you include, put it in its own labelled bracket.

The Motion-First Principle

Motion should be the first thing in your video prompt — before the subject description, before the environment, before anything else. AI video models weight earlier tokens heavily during the generation process. If you put the environment first, the model prioritises environment. If you put motion first, the model prioritises motion — which is what you want.

Identity Lock — The Most Important Line in Any Video Prompt

Temporal consistency — keeping the subject looking the same across every frame — is the most common failure mode in AI video. Without explicit instructions, the model will subtly change the subject's face, hair, and clothing between frames. Over 8 seconds, this drift is obvious and unusable.

Identity lock is a prompt instruction — not a model setting. You add it explicitly to the [SUBJECT] section:

The phrase "no morphing" is particularly effective — it directly names the failure mode you're preventing. For models that support reference image upload (Higgsfield Studio, ControlNet-based pipelines), use a reference photo in addition to the text lock. Text alone may not be enough for high-movement sequences.

Camera Specification

The camera bracket controls how the scene is filmed — not what's in it. Separating camera instructions from subject instructions is essential. When they're mixed, the model often applies movement instructions to the subject rather than the camera.

Key camera movements for AI video:

Tracking dolly — follows the subject laterally. Produces the most natural-looking motion for walking sequences. Dolly push-in — moves toward the subject. Creates intensity and intimacy. Handheld — introduces authentic shake. Good for UGC and documentary aesthetics. Aerial drone — overhead or elevated perspective. Static tripod — zero camera movement. Forces the subject's motion to carry the scene.

Adding a lens reference (35mm anamorphic, 85mm portrait, 24mm wide) changes the optical quality of the output significantly — the model understands the depth, compression, and bokeh characteristics associated with each lens.

Duration and Frame Rate

Most AI video models support clips up to 10–15 seconds. Always specify duration in the prompt. Models will default to their shortest clip length if you don't specify, and you'll often get a truncated version of the motion you described.

"No scene cuts" is important. Without it, some models will insert a hard cut in the middle of the clip — which destroys the continuity you were trying to build. "Continuous motion throughout" reinforces that the action should flow from start to finish without interruption.

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