We launched Pathmode in December as a journey mapping tool. The idea was simple: map your user's journey, find the friction, fix it.
Within weeks of real usage, we saw the problem. Teams would build beautiful journey maps, then... nothing. The maps lived in slides. The insights never made it to the engineers. And when AI coding agents entered the workflow, the gap got worse agents need structured specs, not diagrams.
So we scrapped it. Rebuilt the entire product around one question: what if the output of product discovery was something an AI agent could actually execute?
Pathmode turns real user evidence into structured specs your AI agents can execute immediately. Upload interviews, support tickets, and feedback β Pathmode surfaces what matters, interviews you to build product context, and generates intent specs through AI conversation.
Every spec carries your product's constraints, outcomes, and edge cases β traceable back to the user problems that justified it. Ship to Cursor, Claude Code, or any agent via MCP.
One workflow: evidence in, shipped feature out
