Analyze production agent conversations
Analyzes conversations between users and production AI agents.
Coding / product dossier
Agnost AI
Analyzes production agent conversations to surface failures, drift, churn signals, and new requests.
Product brief
What Agnost AI does.
Agnost AI analyzes conversations between users and your production AI agents and discovers: silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals. It groups them into recurring patterns, shows the exact users and conversations behind each insight, and turns them into evals and fixes.
Why we selected it
A concrete production-agent observability layer that turns real conversation failures and user signals into evals and fixes.
- Best for
- Teams operating customer-facing agents
- Category
- Coding
- Daily picks
- 1
- First selected
- 2026-08-25
Product preview saved with our daily selection
Capability scan
What it can help with.
Only capabilities supported by the product information we collected are listed here.
Discover agent and user signals
Identifies silent failures, behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals.
Group recurring patterns
Organizes discovered signals into recurring patterns.
Inspect supporting conversations
Shows the users and conversations behind each insight.
Turn insights into follow-up work
Turns identified patterns into evals and fixes.
Best-fit use cases
Review production conversations for failures that existing evaluations did not catch.
Investigate recurring user frustration or hallucination patterns in a customer-facing agent.
Find feature requests and churn signals expressed in agent conversations.
Create evals and fixes from observed production-agent issues.
FAQ
Before you open it.
What does Agnost AI analyze?
Agnost AI analyzes conversations between users and production AI agents.
What kinds of issues can Agnost AI identify?
It identifies silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals.
Can teams see the evidence behind an insight?
Yes. Agnost AI shows the exact users and conversations behind each insight.
How does Agnost AI organize findings?
It groups findings into recurring patterns and turns them into evals and fixes.
Selection history