Agnost AI finds hidden user frustration in agent conversations
Agnost AI is a tool that reads real conversations from chat and to uncover complaints and requests that users do not submit directly. It detects signals such as swearing at the agent, repeatedly rewording the same request, correcting an answer, and asking for a feature that does not exist.
It also flags cases where a request technically succeeded but the user left immediately afterward. The product starts from the idea that clicks and funnels are less useful when conversation itself is the interface.
People rarely use feedback commands in tools such as Claude or Codex, and direct feedback may soften their true frustration. A no-signup interactive demo and a separate demonstration video are available.
Key points
- It analyzes real conversations from chat and .
- It looks for swearing, repeated requests, corrections, and requests for missing features.
- It treats leaving after a technically successful answer as a possible failure signal.
- Traditional click and funnel metrics reveal less when language is the main interface.
- The interactive demo can be tried without creating an account.