prd

A PRD for AI agent development structures feature requirements into small, actionable tasks formatted for autonomous AI consumption. It guides you through defining problems, goals, user stories with acceptance criteria, and functional requirements to ensure clarity for AI workflows.

Writing user stories for AI agents involves formatting them into small, actionable tasks with clear dependency order and acceptance criteria. This structured approach ensures autonomous agents can directly parse and implement the requirements without ambiguity.

Structuring product requirements for autonomous agents requires sections like Introduction, Goals, User Stories, and Functional Requirements. This clear structure ensures the agent receives actionable, unambiguous instructions for feature implementation.

Standard PRD formats often lack the actionable task granularity needed for AI development workflows. Tailoring the PRD with dependency-ordered user stories and explicit acceptance criteria ensures autonomous agents can effectively break down and implement features.

Functional requirements in an AI agent PRD should include clear, actionable tasks and explicit acceptance criteria. Defining these alongside problem statements and non-goals ensures the autonomous agent understands exactly what to implement and what to avoid.