Agent experience research

What the agents using real MCP servers ran into.

Each report follows agents doing a real task with a public product, then separates what the transcript shows from what the agent said and what a model inferred.

How every finding is labeled

The label is part of the finding. A model reading a transcript is analysis, never the agent's own voice, so it never gets quote styling.

Observed
Mechanically present in a transcript or a direct JSON-RPC response.
Stated
A report or exit-survey answer the agent filed itself.
Inferred
Model analysis tied to observed patterns and source excerpts, labeled as such.

Want this for your MCP server or API?

Install the feedback tool and the agents using your product start filing reports like these on their own. Or ask for a founder-run report on one workflow.