Agnost AI
Agnost AI analyzes production conversations, finds user friction, and opens PRs to fix your agent. Works with any LLM. 2-min setup.
Editor's Verdict
Key Takeaways
- Production Failure Detection
- Autonomous Fix Generation
- Intent & Sentiment Analysis
- Multi-Framework & LLM Support
In-Depth Review: What is Agnost AI?
Agnost AI reads real chat and voice conversations to detect where users get stuck, frustrated, or fail to convert. It surfaces the highest-impact failure patterns and automatically opens reviewed PRs to fix your agent. Works with any LLM and framework, with a 2-minute OpenTelemetry-native setup. Backed by Y Combinator, used by teams at Comp AI, Exa, and Corgi Insure. Start free, no credit card required.
Core Features
Production Failure Detection
Continuously analyzes production conversations to detect where users get stuck, frustrated, or fail to convert, capturing failures that evals miss.
Autonomous Fix Generation
Turns highest-impact patterns into reviewed PRs that fix agent issues autonomously, enabling your team to review and merge improvements.
Intent & Sentiment Analysis
Extracts intent and sentiment signals from conversations to understand user goals and emotions, providing insights for improvement.
Multi-Framework & LLM Support
Works with any LLM and any framework, offering flexibility and easy integration into existing agent ecosystems.
OpenTelemetry Native
Built with OpenTelemetry native support, ensuring seamless observability and data handling with minimal setup.
Failure Pattern Categorization
Automatically generates failure categories such as broken workflows, repeated retries, setup friction, and churn risk from real conversations.
Pricing
Free
- Intent & sentiment signal extraction
- Failure detection & resolution
- Natural language data queries
- Up to 1,000 events / mo
- 7-day data retention
Starter
- Everything in Free
- Automatic agent improvements
- Up to 10,000 events / mo
- 30-day data retention
- Onboarding help and support
Pro
- Everything in Starter
- Up to 1,000,000 events / mo
- 90-day data retention
- Priority support
- Founders Slack channel
Enterprise
- Self Hostable VPC deployments
- Custom data retention
- Audit logs
- Custom SLAs & SLOs
- Custom improvement workflows
- Priority feature requests
Pros and Cons
Pros
- Catches Missed FailuresIdentifies agent failures that evals miss by analyzing real production conversations, improving reliability.
- Automated FixesOpens PRs to fix detected issues automatically, reducing manual effort and speeding up improvements.
- Easy Setup2-minute setup with OpenTelemetry native support, works with any LLM or framework.
- Actionable InsightsProvides intent, sentiment, and failure categories that directly inform product and agent improvements.
- Scalable PricingFlexible plans from free to enterprise, allowing teams to start small and scale as needed.
Cons
- Limited Free TierFree plan restricts to 1,000 events per month and 7-day data retention, which may be insufficient for high-traffic agents.
- Cost at ScalePro plan costs $499/month for up to 1M events, which can be expensive for growing teams with high volume.
- Requires IntegrationRequires connecting production conversations; teams with strict data policies may face compliance hurdles.
- Dependency on Customer DataEffectiveness relies on the quality and volume of conversation data; low traffic may limit insights.
- Limited Information on Security CertificationsThe page does not explicitly list security standards (e.g., SOC 2), which may concern enterprise buyers.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
Integrates and maintains the Agnost AI system, and benefits from automated bug detection and fix PRs.
AI/ML Engineer→ View Toolkit
Builds and improves AI agents; uses Agnost AI to surface failure patterns and optimize agent behavior.
Product Manager→ View Toolkit
Leverages insights from user conversations to prioritize features and improve user experience.
Customer Support Lead→ View Toolkit
Identifies common user frustrations and churn risks from conversation data to enhance support strategies.
CTO/CEO→ View Toolkit
Oversees agent quality and team productivity; uses Agnost AI to drive autonomous improvements and reduce manual overhead.
Data Scientist→ View Toolkit
Analyzes conversation signals and failure categories to derive actionable insights for agent optimization.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of Agnost AI were synthesized using AI and fact-checked by our curation team to ensure accuracy.
