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Agnost AI: AI Agent Monitoring and Continuous Improvement

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Agnost AI: AI Agent Monitoring and Continuous Improvement It is an AI agent monitoring platform that helps teams find problems in AI agents running in production. It analyzes real user conversations and traces to detect silent failures, user frustration, policy issues, and repeated problems. It can also suggest fixes and, with approval, help apply those fixes.

5 Benefits of Using of Agnost AI

  1. Finds hidden problems: Detects failures that normal tracing may not show.
  2. Saves developer time: Reduces manual review of conversations.
  3. Improves AI quality: Helps teams identify and fix repeated agent mistakes.
  4. Reduces user frustration: Shows where users get stuck, correct the agent, or leave.
  5. Supports continuous improvement: Turns production feedback into suggested fixes and regression tests.

Features of Agnost AI

  • Silent Failure Detection: Agnost identifies problems that traditional monitoring may miss, such as incorrect answers, repeated user corrections, or situations where users give up.
  • Conversation and Trace Analysis: It connects user conversations with agent traces and tool calls. This helps developers understand what happened and why an agent produced a poor result.
  • Automatic Problem Clustering: Similar failures are grouped together so teams can quickly see which problems affect the most users and which issues are becoming more common.
  • AI Powered Fix Suggestions: Agnost can suggest changes to prompts or agent behavior. Teams can review the suggested fix and replay affected conversations before approving it.
  • Alerts and Integrations: Teams can receive alerts about important agent problems. Agnost supports popular agent frameworks and tools including LangChain, OpenAI Agents SDK, CrewAI, Vercel AI SDK, Pydantic AI, and others.

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5 Problems with their solutions that Agnost AI can solve it

1. Problem: An AI agent gives incorrect answers without creating a technical error.

Solution: Agnost analyzes conversations to identify silent failures.

2. Problem: Developers cannot easily find repeated user complaints.

Solution: Similar failures are automatically grouped into clusters.

3. Problem: Teams do not know which agent problems affect the most users.

Solution: Agnost shows affected conversations, counts, and trends.

4. Problem: Fixes can accidentally create new problems

Solution: Suggested changes can be replayed against affected traces before approval.

5. Problem: Monitoring tools show technical traces but not user experience.

Solution: Agnost connects traces with real conversations and user behavior.

Frequently Asked Questions about Agnost AI

Q1. What is Agnost AI?
Agnost AI is a monitoring and continuous-improvement platform for AI agents.

Q2. What does Agnost monitor?
It monitors agent conversations, tool calls, traces, failures, user corrections, and other signals from production usage.

Q3. Can Agnost suggest fixes?
Yes. It can suggest improvements and provide replay results for teams to review before applying a fix.

Q4. Does Agnost have a free plan?
Yes. The Free plan includes 1,000 events per month and 7 days of data retention.

Q5. Who should use Agnost AI?
AI developers, startups, SaaS companies, and enterprise teams running production AI agents can use Agnost to monitor and improve agent quality.

Agnost AI: Pricing Plan

Free Plan – $0/month

Includes 1,000 events per month, 7 days of data retention, and full product access.

Starter Plan – $49/month

Includes 10,000 events per month, 30 days of data retention, onboarding help, and self-improvement suggestions.

Pro Plan – $499/month

Includes 1,000,000 events per month, 90 days of data retention, onboarding help, and access to the Founders Slack community.

Enterprise Plan – Custom Pricing

Designed for larger organizations. It includes custom event limits and retention, self-hosted VPC deployments, audit logs, custom SLAs/SLOs, custom improvement workflows, and fine-tuned SLMs.

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Conclusion

Agnost AI helps development teams understand how AI agents perform in real-world use. By detecting silent failures, grouping recurring problems, analyzing conversations, and suggesting fixes, it makes continuous AI improvement easier. Its free plan is useful for early projects, while paid plans support larger workloads and enterprise requirements

Click here to Get FREE Agnost AI

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