Advanced Flow Examples

This section showcases how to combine Canvas features like global nodes, dynamic conditions, and rewind levels to create powerful, dynamic chatbot flows.

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Example 1: Multi-Step Booking

Scenario: A chatbot for scheduling appointments that handles errors and provides user-friendly navigation.

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Flow Overview:

1. Start Node: Greets the user and collects their initial details.
2. Dynamic Conditions: Routes users to different booking steps based on input.
3. Global Node: Uses a reusable “Cancel” node to handle cancellations at any step.
4. Rewind Levels: Allows users to go back and correct inputs if needed.

How It Works:

• If the user provides invalid details, the chatbot rewinds to the input step.
• If the user says “Cancel,” the chatbot routes to the global Cancel Node.

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Example 2: Personalized Recommendations

Scenario: An e-commerce chatbot providing tailored product recommendations.

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Flow Overview:

1. Start Node: Retrieves user preferences using global variables (e.g., user_name, shopping_category).
2. Dynamic Conditions: Suggests products based on user preferences and input.
3. Global Node: Provides a reusable Help Node for FAQs.
4. End Node: Concludes with a personalized thank-you message.

How It Works:

• The chatbot dynamically suggests products by matching user input with a product database.
• Users can ask for help or clarification at any time using the Help Node.

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Example 3: Error Handling with Rewind

Scenario: A support chatbot that manages errors and retries while preserving context.

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Flow Overview:

1. Start Node: Welcomes the user and asks for their issue.
2. Default Node: Processes the issue and attempts to resolve it.
3. Rewind Levels: Allows retries if the tool call or logic fails.
4. Global Node: Routes escalated issues to a human agent or advanced support system.

How It Works:

• If the initial resolution fails, the chatbot rewinds to the user input step and requests clarification.
• Escalation is handled through a global node for consistent fallback behavior.

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Best Practices for Advanced Flows

• Combine Features: Use global nodes, dynamic conditions, and rewind levels together to maximize flexibility.
• Test Edge Cases: Simulate scenarios with invalid inputs, tool failures, and unmatched conditions.
• Leverage Personalization: Use global variables to create tailored experiences for users.
• Simplify Logic: Avoid overcomplicating flows; prioritize clarity and maintainability.

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Example Flow Testing

After designing advanced flows, test them thoroughly:

1. Simulate user inputs and follow the flow progression.
2. Test dynamic conditions to verify proper routing.
3. Validate rewind functionality to ensure context is preserved.

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Ready to apply these techniques? Return to the Canvas Workspace to implement these advanced flow designs in your chatbot!