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Pathmode vs. HeyMarvin

You search HeyMarvin to find what users said. You use Pathmode to define what you will do about it.

See Full Comparison Matrix

HeyMarvin

Research Repository Platform

Central library for all customer feedback.

Pathmode

Intent Engineering Platform

Compile user friction into structured specs for your team and your agents.

Feature Comparison

Feature	Pathmode	HeyMarvin
Core Philosophy	Action (Evidence → Intent)	Repository (Store & Search)
AI Capabilities	Synthesis (Creates IntentSpecs)	Retrieval & Search
Output	Structured specs for agents	Searchable database
Primary User	PMs & Engineers	Research Ops
Insight → Action	Evidence → Intent → MCP export	Manual handoff required
Agent Integration	MCP + CLAUDE.md + .cursorrules	None

The Key Difference

HeyMarvin — Central library for all customer feedback.

Limitation: A massive, searchable archive for user voices. Doesn't tell you what to build or deliver structured context to agents.

Pathmode — Compile user evidence into structured IntentSpecs, deliver context to AI agents via MCP, and verify real-world impact when features ship.

Why Teams Switch to Pathmode

Go from "what users said" to "what we'll build."
Generate structured specs directly from stored feedback.
Deliver context to AI agents, not just humans.
Close the loop between discovery and delivery.

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Pathmode vs. Spine AI

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Pathmode vs. ChatPRD

AI-Powered PRD Generator with MCP Integration

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See why product teams choose Pathmode for intent engineering.

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