Production conversation analysis
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 evals.
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
It addresses a real production-agent gap: finding recurring failures and converting observed conversations into evaluations and fixes.
- Best for
- Teams operating customer-facing agents
- Category
- Coding
- Daily picks
- 2
- First selected
- 2026-08-25
- Latest selection
- 2026-08-26
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.
Failure and behavior discovery
Discovers silent failures, agent behavior drift, and hallucinations.
Customer-signal detection
Identifies user frustration, hidden feature requests, and churn signals.
Recurring-pattern grouping
Groups discovered issues and signals into recurring patterns.
Conversation-backed follow-up
Shows the users and conversations behind an insight, then turns insights into evals and fixes.
Best-fit use cases
Find silent failures in customer-facing AI-agent conversations.
Investigate repeated user frustration or potential churn signals.
Identify recurring hallucinations or behavior drift in production agents.
Convert observed production conversations into evaluations and fixes.
FAQ
Before you open it.
What does Agnost AI analyze?
It analyzes conversations between users and production AI agents.
What types of issues can it discover?
It is described as discovering silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals.
How are findings organized?
Agnost AI groups findings into recurring patterns and shows the exact users and conversations behind each insight.
Can insights be used to improve an agent?
Yes. The product description says it turns insights into evals and fixes.
Selection history