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
Review the agent’s proposal against the original request, correct its interpretation, and authorize the revised intent.
| Feature | Pathmode | HeyMarvin |
|---|---|---|
| Core Philosophy | Action (Evidence → Intent) | Repository (store, search, retrieve) |
| AI Capabilities | Drafts specs; cannot review or back a claim | 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 — Compare the original request with the proposed behavior, return corrections to the repository agent, and authorize the revision the team will build. Check the result against that agreement.
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Each button opens that AI with the question filled in. It answers from what it can find online, much of it written by us, so check its sources before you rely on it.
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See why product teams choose Pathmode for intent engineering.
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