The Pathmode IntentSpec. Grounding every requirement in real user evidence gives me the "why" behind the ask, so I can build with intent instead of assumptions. Jira tickets are usually too thin, Notion PRDs can sprawl without structure, and plain specs often miss validation. Evidence-backed intent reduces misalignment and helps deliver the right outcome.

As a product manager, you'll appreciate how Pathmode's Intent Layer bridges the gap between user needs and code. It captures friction points (e.g., from tickets/transcripts), synthesizes them into structured specs with preconditions, edge cases, and success criteria—essentially machine-readable contracts for AI agents. Compared to raw prompts (which lack context and traceability) or Jira descriptions (often vague or unstructured), Pathmode specs provide embedded evidence, journey maps for context, and auto-syncing, enabling AI to code faster with fewer errors and better team alignment.