​ To learn more, see the sources I considered: [[1] Create Conversation Flow](https://docs.retellai.com/api-references/create-conversation-flow) [[2] Conversation Flow Node Looping](https://discord.com/channels/1186424376300679209/1372978630841602078) [[3] Retell AI’s Advanced Conversation Flow | Retell AI](https://www.retellai.com/blog/unlocking-complex-interactions-with-retell-ais-conversation-flow) ​

### Answer To handle unexpected user responses in Conversation Flow, you can use several strategies: Use Split Nodes with Else Conditions Split nodes allow you to define multiple transition paths based on different conditions, with an "else" condition to catch unexpected responses [(1) ]() . This ensures the conversation continues even when the user says something you didn't anticipate. Add Transition Fine-Tune Examples When transitions confuse the model, add transition fine-tune examples to your nodes [(2) ]() . This helps the LLM better understand when to move between conversation states. Design Clear Transition Conditions Structure your conversation flow with explicit transition conditions using the

transition_condition

property in edges [(1) ]() . For example:

json
"edges": [
  {
    "id": "edge_1",
    "transition_condition": {
      "type": "prompt",
      "prompt": "Customer wants to book appointment"
    },
    "destination_node_id": "book_appointment"
  }
]

Leverage Global Prompts Use the

global_prompt

field to provide consistent context across all nodes . This helps the agent maintain coherent behavior even when users deviate from expected paths. Implement Fallback Nodes Create dedicated conversation nodes to handle off-topic or unclear responses, then transition back to the main flow. This prevents the agent from getting stuck or looping [(3) ]() . Conversation Flow provides more control over dialogue paths compared to single or multi-prompt approaches, making it ideal when you need predictable handling of various user inputs .

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.