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Decision summary
Agnost AI is a tool that helps teams catch agent failures that their evaluations might miss, by continuously analyzing production conversations and turning the highest-impact patterns into reviewed fixes. It's useful for teams that want to improve their agent's performance and provide a better user experience.
Agnost AI is designed to work with any LLM and framework, and it can be set up in just a few minutes. It reads real production conversations, surfaces where users get stuck or frustrated, and opens reviewed PRs to fix the agent. This helps teams to identify and fix issues that might be causing users to churn or have a poor experience.
Overview
Agnost AI is a tool that helps teams catch agent failures that their evaluations might miss, by continuously analyzing production conversations and turning the highest-impact patterns into reviewed fixes. It's useful for teams that want to improve their agent's performance and provide a better user experience.
Agnost AI is designed to work with any LLM and framework, and it can be set up in just a few minutes. It reads real production conversations, surfaces where users get stuck or frustrated, and opens reviewed PRs to fix the agent. This helps teams to identify and fix issues that might be causing users to churn or have a poor experience.
Details
Key Features
- Continuous analysis of production conversations to identify areas where users get stuck or frustrated
- Automatic detection of agent failures and generation of reviewed fixes
- Integration with any LLM and framework, with a 2-minute setup process
- OpenTelemetry native support for easy integration with existing workflows
Best For
- Teams that are building and deploying AI agents and want to improve their performance and user experience
- Companies that are using chat or voice agents to interact with their users and want to reduce churn and improve satisfaction
- Organizations that are looking for a way to analyze and improve their agent's conversations and identify areas for improvement
Top Use Cases
- Improving the performance and accuracy of AI agents
- Reducing user churn and improving satisfaction
- Identifying and fixing issues that are causing users to have a poor experience
Integrations
- Agnost AI integrates with any LLM and framework, and has native support for OpenTelemetry
Pros
- easy to set up and integrate
- provides a detailed and nuanced understanding of user behavior and agent performance
- helps to identify and fix issues that are causing users to have a poor experience
Limitations
- may require significant resources and expertise to fully utilize and customize
Read full editorial notes
What is Agnost AI?
Agnost AI is a product analytics tool that reads every conversation your chat or voice agent has with your users, and surfaces hidden insights and product feedback. It helps teams to understand what their users want, where they get frustrated, and why they leave.
What are the key features of Agnost AI?
Continuous analysis of production conversations to identify areas where users get stuck or frustrated
Automatic detection of agent failures and generation of reviewed fixes
Integration with any LLM and framework, with a 2-minute setup process
OpenTelemetry native support for easy integration with existing workflows
Customizable metadata and improvement workflows to fit specific team needs
Who is Agnost AI best for?
Teams that are building and deploying AI agents and want to improve their performance and user experience
Companies that are using chat or voice agents to interact with their users and want to reduce churn and improve satisfaction
Organizations that are looking for a way to analyze and improve their agent's conversations and identify areas for improvement
What can you use Agnost AI for?
Improving the performance and accuracy of AI agents
Reducing user churn and improving satisfaction
Identifying and fixing issues that are causing users to have a poor experience
How does Agnost AI compare to alternatives?
Agnost AI is different from traditional product analytics tools because it is specifically designed to analyze and improve agent conversations, rather than just tracking clicks and other metrics
Agnost AI is also different from agent observability tools because it provides a more detailed and nuanced understanding of user behavior and agent performance
What integrations and ecosystem support does Agnost AI offer?
Agnost AI integrates with any LLM and framework, and has native support for OpenTelemetry
What are the pros and limitations of Agnost AI?
Pros: easy to set up and integrate; provides a detailed and nuanced understanding of user behavior and agent performance; helps to identify and fix issues that are causing users to have a poor experience
Limitations: may require significant resources and expertise to fully utilize and customize
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