What role does a PRD play in AI-assisted development?

What role does a PRD play in AI-assisted development?

A Product Requirements Document, or PRD, describes the problem a product should solve, the people it serves, and the behavior expected from its features. In AI-assisted development, it gives successive conversations a shared reference instead of relying on assumptions or scattered chat history.

Explain the product before requesting code

For a wedding-management application, the PRD could identify organizers, collaborators, and invited guests. It should explain their goals and define the initial scope: perhaps event management, assigned tasks, and event-specific RSVPs.

Include important exclusions as well. If payment collection is outside the first release, saying so helps prevent an assistant from building checkout screens simply because they appear common in similar products.

A PRD should focus on required outcomes. It can record constraints, but detailed database schemas and implementation choices usually belong in linked technical documents.

Turn requirements into reviewable behavior

A statement such as “support invitations” is too broad. A stronger requirement explains who can send an invitation, what the guest receives, when the invitation expires, and what happens when it is reused.

Acceptance criteria make this behavior checkable. For example: an organizer can see the RSVP for each invited event, while a guest cannot view another guest’s response.

Give the assistant the relevant requirement and ask it to explain how its planned changes satisfy those criteria.

Keep the document aligned with decisions

An AI-generated PRD is a draft that may contain invented assumptions, duplicate features, or omitted edge cases. Review it with the people responsible for the product.

As implementation and user feedback reveal new information, revise the PRD deliberately. Record changed decisions and update affected designs, tests, and prompts so the document remains useful.