One of the most time-consuming responsibilities of a Product Manager is turning raw ideas into structured Product Requirements Documents (PRDs). Stakeholder requests often arrive as Slack messages, meeting notes, customer feedback, feature requests, or vague ideas. Before development can begin, these inputs must be transformed into a clear document that outlines the problem, objectives, user stories, acceptance criteria, requirements, risks, and success metrics.
An AI Product Requirements Document Agent automates much of this process. Instead of spending hours manually writing PRDs from scratch, the agent gathers product information, analyzes the business context, generates structured documentation, and produces a draft PRD ready for review. While human oversight remains important, the agent dramatically reduces the time required to move from idea to execution.
In this tutorial, you'll learn how to build an AI-powered PRD Agent using Make.com. By the end, you'll have a workflow capable of converting rough product ideas into professional product requirement documents automatically.
The agent will:
The final output will resemble what an experienced Product Manager would typically create before handing work to engineering teams.
Imagine someone submits the following request: