AI BriefingLaunch HN: Agnost AI (YC S26) – Extracting user feedback from agent conversations
·2026.07.15 01:06
Key point
A tool that analyzes real production conversations of AI agents to find failure patterns and suggest fixes.
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Details
Agnost AI is a solution that continuously analyzes real Production conversations of AI agents to find failure points that are difficult to discover with existing static evaluations (Evals).
Key features and characteristics are as follows:
- Failure Pattern Analysis: Identifies bottlenecks, points of frustration, and conversion failure cases that users experience during conversations, categorizing them into workflow interruptions, repeated retries, and setup friction, among others.
- Automatic Fix Suggestions: Generates fixes that teams can review and apply based on the analyzed patterns, and in some cases creates automatic PRs (Pull Requests) to support bug fixes.
- High Compatibility: Works with any LLM and framework, and natively supports OpenTelemetry, allowing setup in around 2 minutes.
- Business Value: Beyond simple error detection, it extracts unimplemented feature requests demanded by users from conversation data to help with product roadmap planning.
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