Validate your agent’s performance, behavior, and user experience in a comprehensive testing environment before going live. The Prototype Testing feature provides real-time preview capabilities with advanced debugging tools and performance monitoring.

Why Use Prototype Testing?

Risk-Free Testing

Test new configurations, prompts, and features without affecting your live widget or real users

Real-Time Preview

See exactly how your agent will behave with live data and current configurations

Debug Mode

Access detailed logging, conversation flow tracking, and performance metrics

Iterative Development

Rapidly test changes and improvements in a controlled environment

Testing Environments

The standard prototype environment provides a full-featured preview of your agent with development tools and debugging capabilities.

Testing Workflow & Best Practices

1

Pre-Testing Setup

Configure Your Testing Environment
  • Ensure all agent configurations are saved
  • Set up test scenarios and conversation flows
  • Prepare sample user data and edge cases
  • Document expected behaviors and outcomes
2

Systematic Testing

Follow a Structured Testing Approach
  • Test basic functionality first
  • Progress to complex conversation flows
  • Validate edge cases and error handling
  • Check performance under different conditions
3

Documentation & Iteration

Record Results and Iterate
  • Document issues and unexpected behaviors
  • Note performance metrics and response times
  • Plan fixes and improvements
  • Re-test after making changes
4

Production Readiness

Validate for Deployment
  • Confirm all tests pass consistently
  • Verify performance meets requirements
  • Ensure accessibility and compatibility
  • Get stakeholder approval for go-live

Advanced Testing Features

Testing Scenarios & Checklists

Troubleshooting Testing Issues

Testing Best Practice: Always test in incognito/private browsing mode to avoid cached data affecting your test results.

What’s Next?