Introducing AgentPRD
The spec is becoming the product. We built AgentPRD to make sure it's grounded in customer signal.
Coding agents are shipping faster than teams can decide what to build.
Claude Code writes 4% of all GitHub commits — doubled in a month. Cursor hit $1B ARR in under two years. GitHub launched Spec Kit for spec-driven development. The spec is becoming the product.
The bottleneck isn't code anymore. It's knowing what to build and why.
The problem
Your customer interviews live in Fathom and Granola. Product docs sit in Google Drive. Support tickets pile up in Pylon and Zendesk. Feedback rots in spreadsheets. By the time you sit down to write a PRD, you're working from memory — not signal.
Meanwhile, coding agents keep getting better. They have full repo context, catch edge cases, and generate implementation plans. The technical spec matters less every month. What matters more is the input: what to build, for whom, and which customer problems to solve first.
PMs are becoming the bottleneck. And the PRD is the highest-leverage artifact in the entire product cycle.
How AgentPRD works
- Import your customer data — paste transcripts, upload files, forward emails, or connect Fathom and Granola directly
- AI extracts insights — pain points, feature requests, and verbatim quotes are identified, tagged, and deduplicated across sources
- Build your PRD — every requirement is grounded in real customer signal. "4 of 6 users reported..." not "we believe..."
- Share with agents — PRDs structured for Claude Code, Codex, and Cursor to execute directly
No 40-page documents. No opinion-driven requirements. Customer signal in, agent-ready specs out.
What makes this different
Most PRD tools help you write faster. We help you write from customer signal — and for agents.
- Every requirement traces to its source. Pain points get mention counts. Quotes link to transcripts. Assumptions get flagged.
- Weight by frequency. A pain point from 5 customers is a P0 candidate. A pain point from 1 is an assumption — labeled as such.
- Agent-ready output. Bullets, not prose. Acceptance criteria, not descriptions. What and why, never how — agents decide implementation.
No other AI PRD generator connects the full pipeline: customer data → extracted insights → structured specs that agents ship.
What's next
We're in private beta, working with product teams who are tired of writing PRDs from memory. If that's you, get early access.
The spec is becoming the product. We're making sure it's grounded in what customers actually said.
Make your PRDs agent‑ready.
Import interviews, feedback, and support tickets. AI finds the signal. Ship PRDs any coding agent can execute.