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Alpha Simulate agent conversations and automatically generate evaluations that optimize your agent prompts. Test different configurations, measure performance across scenarios, and let AI automatically refine your prompts for better results.
Early Access: Auto Evals is currently in alpha. Reach out to join our early release developer program and get early access to this feature.

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Overview

Auto Evals enables you to systematically test and improve your voice agents by simulating conversations across diverse scenarios. The system automatically evaluates agent performance and provides AI-powered suggestions to optimize prompts, improving agent behavior and response quality.

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Key Features

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Conversation Simulation

Test your agents across diverse scenarios and edge cases without manual intervention. Simulate realistic conversations to identify weaknesses and areas for improvement.

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Automated Evaluation

Generate comprehensive performance metrics and insights automatically. Track agent behavior, response quality, and conversation outcomes across multiple test scenarios.

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Prompt Optimization

Receive AI-powered suggestions to improve agent behavior and responses. The system analyzes evaluation results and recommends specific prompt modifications to enhance performance.

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Iterative Refinement

Continuously improve your agents based on evaluation results. Run multiple evaluation cycles, implement optimizations, and measure improvements over time.

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Use Cases

  • Quality Assurance - Systematically test agents before deployment
  • Performance Tuning - Optimize prompts for specific use cases
  • Regression Testing - Ensure agent improvements don’t break existing functionality
  • A/B Testing - Compare different prompt configurations
  • Edge Case Discovery - Identify and address conversation scenarios that need improvement

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Next Steps