Autonomous PM agent that ingests customer signals, drafts specs, and hands off to engineering — so you make decisions, not documents.
Purpal is an autonomous PM agent that ingests customer signals from sources like Intercom, Figma, Jira, and Linear, detects patterns, and drafts engineering-ready specs including PRDs, UX briefs, and tickets. It validates quality, catches gaps, and hands off to engineering or AI coding agents, enabling product managers to focus on decisions rather than document assembly.
Key Features
check_circleSignal detection from customer conversations
check_circleAPI and MCP access for agent-to-agent handoff
check_circleEvidence ledger with cited claims
check_circleMachine-readable JSON output for AI agents
check_circleClustering patterns and surfacing urgency
Use Cases
lightbulbProduct managers import customer conversations from Intercom and CSV; Purpal clusters themes and surfaces urgent issues, reducing time spent on manual analysis from hours to minutes.
lightbulbPMs review auto-drafted PRDs and engineering tickets with acceptance criteria; they refine and approve instead of writing from scratch, cutting spec creation time by 80%.
lightbulbEngineering teams receive tickets with real acceptance criteria and cited evidence; they can ship features without back-and-forth clarification, accelerating development cycles.
lightbulbAI coding agents consume structured JSON specs directly via API; they build features aligned with validated requirements, reducing the risk of building the wrong thing.
lightbulbProduct leaders use Purpal to aggregate feedback from multiple sources (Intercom, Slack, analytics); they get a unified view of customer pain points to prioritize roadmap items.
lightbulbStartups with lean product teams connect Purpal to their signal sources; the autonomous agent drafts specs overnight, enabling them to ship weekly with minimal overhead.
product managementAI agentspec draftingcustomer signalsPRDengineering handoffautonomousproduct teamsdecision making
