How to Write a Brief That Gets the AI Video You Wanted

What a studio actually needs from a brief, which sections change the output most, and the questions that expose a project's real constraints.

Most video briefs describe what the client wants made rather than what they need to happen, and the difference determines whether the resulting film works. A brief that says we need a sixty second corporate video has specified a format. A brief that says our sales team cannot get past the first meeting because prospects do not understand what we do has specified a problem, which a studio can actually solve.

The first section should therefore be the business problem, stated plainly. What is happening now that should not be. What should happen instead. How would you know if it worked. Three sentences. This section changes the output more than any other and is the one most frequently missing, because it feels like it belongs in a strategy document rather than a production brief.

The second is the audience, described as people rather than as a segment. Who are they, what do they already believe, what do they think about this category, what would make them sceptical, and what do they need to be true before they act. A studio that understands this can build a film that addresses the actual objection; one that receives a demographic bracket cannot.

The third is the constraints, and these should be complete rather than optimistic. The deadline and whether it is genuinely immovable. The budget, or at least the range. The languages. The platforms. The mandatory elements, legal lines, brand requirements, things that must appear. Anything that has been ruled out and why. Constraints stated up front shape the concept; constraints discovered later invalidate it.

The fourth is the approval structure, and it is the section clients find surprising in a creative brief. Who approves the script, the storyboard and the final. Who else has an opinion that matters. How long each review will take. Mirzaei et al. (2025) argue that project methodologies should be customised to the specific project rather than applied uniformly, and the approval structure is the single largest determinant of how much process a project needs.

The fifth is references, used correctly. Showing films you like is useful when accompanied by what specifically you like about them: the pacing, the tone, the way the product is shown, the structure. Showing films without explanation invites the studio to guess which property attracted you, and the guess is often wrong. Equally useful is a reference you dislike, with the reason.

For generative work specifically, the brief should state what must be exact. Brand marks, product geometry, packaging copy, real people, real premises, and any claim requiring documentary truth. Kirk and Givi (2025) found that perceptions of authenticity shape consumer responses to AI generated marketing communications, and identifying these at brief stage means they are planned as composited or filmed rather than discovered as a problem during production.

What the brief should not attempt is the solution. Specifying shot types, transitions, music and structure removes the studio's ability to solve the problem and produces a film that executes the client's guess at an answer. If the client already knows the solution, they are buying execution, which is a legitimate arrangement and should be stated as such rather than presented as a creative brief.

The most useful single addition to any brief is the answer to what happened last time. What did the previous film do well, what did it fail at, what did people say about it, and why is a new one being made. This question routinely produces the most informative paragraph in the whole document and it is almost never volunteered.

The practical test of a brief is whether a studio can write back a one paragraph summary of what the film must achieve and be right. If they can, the brief has done its job. If the summary comes back describing a format rather than an outcome, the brief specified what to make rather than what to accomplish, and the project will be judged later against a standard that was never written down.

References

Mirzaei, M., Mabin, V. J., & Zwikael, O. (2025). Customising hybrid project management methodologies. Production Planning & Control, 36(9), 1188–1205. https://doi.org/10.1080/09537287.2024.2349231

Kirk, C. P., & Givi, J. (2025). The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications. Journal of Business Research, 186, Article 114984. https://doi.org/10.1016/j.jbusres.2024.114984