You search Marvin to find what customers said. You use Pathmode to record what you decided to do about it.
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Research Repository Platform
Central library for all customer feedback.
Intent Engineering Platform
Compile user friction into structured specs for your team and your agents.
| Feature | Pathmode | HeyMarvin |
|---|---|---|
| Core Philosophy | Action (Evidence → Intent) | Repository (store, search, retrieve) |
| AI Capabilities | Synthesis (Creates IntentSpecs) | Search & retrieval across customer knowledge |
| Output | Structured specs for agents | Searchable database of customer signal |
| Primary User | PMs & Engineers | Research & product teams |
| Agent Integration | MCP + CLAUDE.md + .cursorrules | MCP server + native integrations |
| What the agent receives | A decision: outcomes, constraints, verification | Source material: interviews, surveys, quotes |
HeyMarvin — Central library for all customer feedback.
Limitation: A searchable archive of user voices, now reachable by AI tools over its own MCP server. What it serves an agent is the archive: interviews, surveys, and quotes to retrieve. Pathmode serves the decision that came out of the archive, with the outcomes and constraints an agent has to build against.
Pathmode — Compile user evidence into structured IntentSpecs, deliver context to AI agents via MCP, and verify real-world impact when features ship.
Don’t take our word for it
Click a button and your AI of choice opens with the question pre-filled — what Pathmode does, who it’s for, and whether it’s right for your team. Answered in its words, sources and all. Not ours.
Opens a new tab in your chosen AI with the question ready to send.
See why product teams choose Pathmode for intent engineering.
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