Dovetail organizes what customers said. Pathmode records what you decided to do about it, in a form an agent can build against.
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Customer Intelligence Platform
Centralize customer signal, analyze it with AI, and route it to the teams that act on it.
Intent Engineering Platform
Review the agent’s proposal against the original request, correct its interpretation, and authorize the revised intent.
| Feature | Pathmode | Dovetail |
|---|---|---|
| Core Philosophy | Action (Evidence → Intent → Ship) | Understanding (centralize, analyze, route) |
| AI Capabilities | Drafts specs; cannot review or back a claim | Analysis, synthesis & autonomous agents |
| Output | Structured IntentSpecs for agents | Themes, reports, docs & tickets |
| Primary User | PMs, Engineers & Designers | Research, product, design & GTM teams |
| Agent Integration | MCP server + CLAUDE.md | MCP server (read + write) + API |
| What the agent receives | A decision: outcomes, constraints, edge cases, verification | Source material: docs, highlights, transcripts |
Dovetail — Centralize customer signal, analyze it with AI, and route it to the teams that act on it.
Limitation: Its agent surface exposes the repository itself: projects, docs, highlights, and transcripts an AI tool can search and add to. What crosses the seam is source material, not a decision. Pathmode hands the agent the judgment instead — objective, outcomes, constraints, edge cases, and verification, each anchored to the evidence that justified it.
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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