PRD for AI
A PRD for AI is a product requirements document written to be consumed by an AI coding tool rather than by a team. It is shorter and more concrete than a traditional PRD, focusing on what must be built and constrained rather than on justification and background.
The differences from a human-facing PRD are mostly subtractive. Market rationale, stakeholder context, and phased roadmaps do nothing for a model. What earns its place is anything that changes the code: entities and their fields, roles and permissions, states, validation rules, and explicit non-goals.
Non-goals matter more than people expect. Without them, models add features — a settings page nobody asked for, an admin role that was never in scope.
What this means in practice
Most useful with app builders, where the first prompt effectively is the PRD and rewriting it later costs a regeneration. Ask a model to critique the document before you build with it; "what is ambiguous here?" surfaces gaps cheaply.
Prompts for the tools this applies to
Related terms
- Spec-driven development
Spec-driven development means writing a precise specification before generating any code, then using that spec as the prompt.
- Meta-prompting
Meta-prompting is using a model to write or improve a prompt rather than to do the task directly.
- Text to app
Text to app describes tools that generate a working application from a written description — pages, data model, and often auth and deployment — without you writing the scaffolding.
- Plan mode
Plan mode makes an AI coding tool propose an approach before it edits anything.