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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.

AI Agent Testing Interface

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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

Product Inquiries

Test product knowledge and pricing responses

Support Issues

Verify troubleshooting capabilities

Account Questions

Test account-related responses

Complex Scenarios

Multi-step problem resolution

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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

Chat history is automatically associated with the customer’s email address, allowing for seamless continuation of conversations across multiple sessions.

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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

Test thoroughly in the staging environment before deploying changes to production. This includes testing with different customer profiles and various conversation scenarios.

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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