Evaluations

Test and validate your AI agent’s performance with custom evaluation suites

Create custom evaluation suites to batch test your agent’s performance and ensure consistent, high-quality responses across different scenarios.

How evaluations work

1. Define evaluation questions - Build a set of test questions for each agent. You can either:

   • Manually create questions that represent common use cases

   • Select responses from existing agent conversations in the admin page to add to your evaluation set

     

2. Run batch tests - Execute all prompts in your evaluation set against the agent to see how it responds

   

3. Review results - Manually review the agent’s responses to ensure they meet your quality standards and expectations

   

Using feedback to improve evaluations

Encourage your team to actively use the thumbs-up/thumbs-down feature when interacting with AI agents. This feedback helps admins in two key ways:

• Identify improvement areas - Thumbs-down responses highlight where the agent needs work
• Build better evaluation sets - Filter and easily add thumbs-down responses to your evaluation suite to test fixes and prevent regressions

This systematic testing approach helps you:

• Verify agent performance before deploying changes
• Ensure consistency across common queries