Agnost AI
Agnost AI provides observability and analytics for AI agents, helping developers identify silent failures, user frustration, and recurring issues through conversation data analysis.
Agnost AI provides observability and analytics for AI agents, helping developers identify silent failures, user frustration, and recurring issues through conversation data analysis.
What the product does and how it is positioned
Agnost AI is an observability platform designed to help developers understand how AI agents perform in production environments by analyzing conversation data.
The platform provides actionable insights by linking identified patterns directly to conversation traces, allowing teams to prioritize fixes based on impact.
Source-supported ways to use the product
Detecting hallucinations, policy violations, and silent failures to help developers understand where agents are not meeting expectations.
Pinpointing where users get stuck, rage-prompt, or abandon interactions to help teams understand friction points in the agent experience.
The documented workflow, where available
Integrate the Agnost AI skill into the agent environment using the provided command-line interface.
Allow the system to ingest and cluster conversation data to reveal recurring problems and performance insights.
Agnost AI focuses on bridging the gap between raw conversation data and actionable development tasks. By automatically clustering thousands of interactions, it surfaces the most impactful issues.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
While standard observability tools may track general traces, Agnost AI specifically focuses on AI agent behavior, such as identifying hallucinations, policy violations, and user frustration patterns within conversations.
Agnost AI is built to provide structured, ranked insights and automated clustering specifically for AI agent workflows to help developers identify issues at scale.
Agnost AI offers security features including audit logs and, for enterprise customers, the option for self-hosted VPC deployments to maintain control over data.
The setup is designed to be completed in minutes by connecting the agent via the provided skill command, allowing for quick ingestion of conversation data.
The platform provides self-improvement suggestions and, depending on the plan, offers additional support such as onboarding help or access to a founders' Slack channel.