### Answer
Retell AI does not natively support automatic return from global nodes to the previous conversation position—this is an architectural limitation.
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## Workaround Approach
You can build a manual return mechanism by storing the last node in a variable and routing back using a Logic Split node.
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## Tips to Improve the Experience
1. Adjust node instructions to avoid repetition
Make your node instructions more flexible so when the agent returns, it doesn't re-execute the full introduction or initial prompts. You can add context-aware logic in your prompt to check if the user has already been through that node.
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2. Split nodes into smaller segments
If a node contains multiple steps (e.g., collecting name, phone, address) , split it into separate nodes. This way, when returning, the agent resumes at a more granular point rather than repeating everything.
3. Use dynamic variables to track state
Store conversation progress in variables so the returning node can recognize where the user left off and skip already-completed steps.
4. Add transition finetune examples
Provide examples to help the model understand how to handle returns gracefully without repeating content.
## Known Limitation
Community reports confirm this is a common pain point—when transitioning back from a global node, the conversation often restarts at the beginning of the target node rather than resuming mid-flow.
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Check out these potentially useful sources:
- [Global Node](
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- [Debug guide](