AI Agent Now Writes Product Requirement Docs
A startup called Prodini has launched an AI agent that generates production-ready Product Requirements Documents (PRDs) for product managers in under 15 minutes. The tool signals a new wave of agentic automation moving beyond code and search to tackle core business workflows.
Prodini, founded by Tal Laitner and based in Tel Aviv, leverages Retrieval-Augmented Generation (RAG) to learn a team's specific templates and product history from tools like Confluence, Jira, and Figma. This allows the agent to produce specs that are contextually aware of a team's actual processes, rather than generating generic, unformatted text. The platform is powered by Claude AI and includes an "edge case detection engine" designed to identify missing scenarios before they reach engineering. Following a free beta that attracted over 700 product managers, the service is priced starting at $25 per month for individuals and $49 for teams. This tool is part of a broader shift towards agentic AI, which differs from traditional automation by enabling systems to plan, decide, and act autonomously across complex workflows with limited human input. Businesses adopting agentic AI are seeing processes accelerated by 30-50% and operational cost reductions of up to 40%. Within product management, AI has already been moving to automate more complex tasks like synthesizing user feedback and prioritizing roadmap features. Tools are tackling the significant time spent on documentation, where a single PRD can traditionally take a product manager more than four hours to write. While Prodini's agent writes PRDs for human engineers, a parallel trend is emerging where the PRD itself is becoming a programming interface for AI coding agents. This shift requires specifications to be more precise and structured to guide autonomous development workflows. This evolution is driven by massive adoption of AI in development, with GitHub reporting that AI now writes approximately half of the average developer's code. As a result, the "specification" is increasingly becoming the literal source of truth that determines what gets built.
