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Testing AI Agent

Test your AI agents in a simulated environment to ensure they provide accurate and appropriate responses before deploying to production.

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Customer Identification

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Email Collection

• Email is required before starting a chat
• Automatically identifies returning customers
• Loads previous conversation history
• Maintains context across sessions

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Testing Features

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Conversation Testing

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Test Scenarios

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Customer Context

1. New Customer

   • First-time interaction
   • No previous history
   • Basic profile creation

2. Returning Customer

   • Previous history loaded
   • Context from past interactions
   • Personalized responses

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Common Test Cases

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Chat History

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History Features

• Complete conversation logs
• Timestamp for each interaction
• Session summaries
• Action tracking (transfers, resolutions)

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History Usage

• Context for personalized responses
• Issue tracking and follow-up
• Training data for improvements
• Quality assurance reviews

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Testing Best Practices

1. Systematic Testing

   • Start with basic queries
   • Progress to complex scenarios
   • Test edge cases
   • Verify error handling

2. Knowledge Testing

   • Test recently added content
   • Verify cross-document knowledge
   • Check information accuracy
   • Test knowledge updates

3. Customer Experience

   • Verify response times
   • Check message formatting
   • Test file attachments
   • Validate email notifications

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Test Environment

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Features Available

• Real-time chat interface
• Knowledge base access
• History simulation
• Transfer scenarios

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Testing Tools

• Chat widget preview
• Response analysis
• Performance metrics
• Error logging

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What’s Next?

After testing your AI agent:

1. Review test results
2. Make necessary adjustments
3. Update knowledge if needed
4. Deploy to production

Widget Integration

Next: Learn how to integrate the chat widget into your website