How to Write AI Video Prompts: A Practical Guide

A useful AI video prompt describes what the viewer sees change during one shot. Start with a subject and an action, establish the scene, and choose a camera movement. Then add lighting and other details that help you judge the result. Keep output settings, such as duration and aspect ratio, alongside the brief so you can select them in your video tool.

This guide gives you a repeatable way to write and revise that brief. The examples are original writing exercises, not claims of tested model output. You can use the free video prompt builder to assemble a brief, or adapt one of the copyable examples.

Start with a shot, not a collection of adjectives

“Beautiful, cinematic, high quality, stunning” says little about what should happen. A subject walking through a doorway is an event. A camera approaching a stationary object is a camera move. Both give you something concrete to inspect when a model returns a clip.

For a first attempt, choose one event that can occupy the entire shot. If your idea includes opening a package, showing the product, demonstrating its use and displaying a headline, split it into separate briefs. You can plan the sequence as several clips and assemble them in editing. This is a practical planning recommendation, not a claim that every model can only handle one action.

Google's video prompt guide describes subject, action, context, camera and other visual dimensions. Adobe's Firefly guidance also uses concrete scene and camera descriptions. Those are useful starting dimensions; they do not form a universal command language shared by every provider.

Build a brief with six decisions

Use the following table to turn an idea into a draft. You do not need to fill every field with a long sentence. The purpose is to make the decisions visible, so a weak result has a specific next revision.

Keep camera movement and subject movement separate. “The camera stays locked while the person walks across the frame” is different from “the camera follows the person.” Likewise, a product can remain stationary while the camera moves around it. If you simply write “slow movement,” you leave that distinction unresolved.

Words about mood work best when paired with observable details. A “quiet morning” might become soft window light, an empty background and restrained movement. A “tense moment” might become a fixed frame, a pause before an action and a narrow pool of light. These choices are artistic direction, not special tokens that guarantee a particular result.

A worked example: from vague idea to testable prompt

Suppose the idea is a short cafe product shot. The initial version might be:

A cinematic video of coffee, beautiful light, very realistic.

That leaves several decisions open: whether the camera is above or beside the cup, whether a person is pouring or drinking, and whether the cup itself moves. A clearer starting brief is:

A handmade cream ceramic cup rests on a dark wooden cafe table. A thin curl of steam rises and disperses in soft morning window light. Slowly push toward the rim while the cup stays still. Keep the background softly out of focus and the glaze texture visible. One continuous shot.

The second version has an inspectable purpose. You can check whether the cup stays still, whether steam is visible, whether the camera moves in the intended direction and whether the material remains readable. It still does not promise that the model will satisfy every instruction.

Write the output plan separately: the target aspect ratio, a supported duration and any source image you intend to use. If the provider has a duration control, set it there. A sentence such as “eight seconds” is not a substitute for an actual duration setting, and unsupported settings do not become available because they appear in a prompt.

If you already have a photograph of the exact cup, the brief should change. You can let the image establish its appearance and focus your writing on steam and camera motion. The text-to-video versus image-to-video guide explains that choice in more detail.

Three patterns you can adapt

These patterns serve different shot purposes. Replace the concrete subject and environment rather than copying adjectives into an unrelated scene. Choose a pattern that fits your actual input assets and the capabilities of your video model.

A product detail

A small canvas backpack stands upright against a plain studio background. The camera makes a slow upward tilt from the lower pocket to the shoulder straps. The bag remains still, and soft side light reveals the fabric and seams. Keep one continuous movement and an uncluttered frame.

Use this when texture or construction matters more than a complex demonstration. If an exact product is important, provide a suitable reference image through a supported image workflow. Asking for a bag in text is different from supplying the appearance of your particular bag.

A scene with a moving subject

A person carrying a plain umbrella walks from left to right across a quiet street after rain. The camera remains locked in a wide shot. Reflections shimmer slightly on the road, while the buildings and horizon stay stable. The person exits the frame without a cut.

Here the subject supplies the main movement. A locked camera makes the intended action easy to describe and compare. If you later want a tracking shot, change the camera instruction while keeping the action and setting fixed for the next comparison.

A subtle image animation

Use the supplied portrait as the starting composition. The person makes one gentle blink and a small natural breath while looking just past the camera. Keep the camera locked and the face position stable. A few loose strands of hair move slightly.

This prompt depends on an actual image input. Pasting the words alone does not give the model access to a portrait on your computer. See the image-to-video prompt guide for reference preparation and motion-specific examples.

Adapt the brief to the model

A portable brief describes intent in ordinary language. The final request must still fit the provider. Before running it, check the supported input mode, duration, aspect ratio, resolution, reference count and any separate controls you plan to use.

Negative prompts deserve particular care. Google's prompting guide describes a negative-prompt field and recommends listing unwanted elements rather than writing instructions such as “don't show.” Other tools may expose a different field or no comparable control. Keep exclusions in your planning notes, then translate them into the interface your model actually supports.

Audio is another separate decision. If the selected model supports it, write the intended dialogue, ambience or sound effect clearly. A visual prompt that includes the word “audio” does not establish that a provider will generate sound. For a silent visual test, leave audio out until the movement and composition are satisfactory.

Be equally careful with exact text, logos and recognizable identities. Treat them as things to review in the actual output. If a headline must be spelled precisely, plan space for it and add the final typography in editing. A prompt can express a requirement; it is not evidence that the requirement has been met.

Revise one variable and keep a short log

Changing the scene, camera, model and duration together makes the next output difficult to interpret. For a more useful comparison, keep the input asset, model version and output settings fixed where the provider allows it. Change one significant part of the prompt and record the reason.

For the ceramic cup example, a small comparison could look like this:

This is a suggested comparison protocol, not a reported experiment. Keep the actual prompts and outputs beside your notes. If the provider exposes a seed, recording it may help you document the attempt, but do not assume a seed behaves identically across models or versions.

Define success before selecting a favorite clip. For a product shot, success might mean readable shape, stable framing and useful space for a later caption. For a travel insert, it might mean a consistent horizon and a clear sense of forward movement. Those criteria are more actionable than a single “looks good” label.

Troubleshoot the mismatch you can see

These are starting hypotheses. A poor clip can reflect the model, input quality, supported controls or randomness, not just the wording. A useful prompting process identifies what you can change and when to choose another workflow.

Put the brief into practice

1. Open the Muse Video prompt builder, describe one shot and choose the camera and motion controls.
2. Copy the composed brief. Keep the intended aspect ratio and duration beside it, then select supported settings in your generation tool.
3. Use the prompt example library when you need a starting scene, or compare text and image inputs before writing.
4. If you are exploring providers, review the current models and terms on OmniAKey. This is the external service promoted by Muse Video; the builder itself does not render a new video.

Sources and scope

Provider documentation was checked on September 25, 2026: Google's video prompt guide, Google's generation best practices, and Adobe's video prompting guidance. Examples and comparison steps in this article are original editorial suggestions. They are not a benchmark or a guarantee of model performance.