You can update an AI-generated scenario by changing its prompt. Inrō regenerates the triggers and actions to match your new description, without losing your execution history, analytics, or any connected steps.
How it works
Open a scenario that was created from a prompt.
Edit the prompt to describe what you want the updated scenario to do.
Save. Inrō starts an AI regeneration in the background, and your scenario stays live while it runs.
Check the status in the scenario. Once generation completes, the triggers and actions reflect your new prompt.
Your execution history, conversion data, and any contacts currently in the flow are kept through the update.
Why it's non-destructive
Before regenerating, Inrō exports the scenario's current state, so manual edits you made in the builder aren't thrown away. Steps that carry over from the previous version keep their original IDs, so any references to them stay valid. Inrō updates what changed and removes only what's no longer in the new version.
Each prompt you submit is added to the scenario's generation history, so you have a record of how the automation evolved.
Updating via API or MCP
If you build automations programmatically, changing the prompt on an existing scenario triggers the same regeneration. See Build and Update Automations Programmatically via API & MCP. To edit specific steps directly instead of regenerating from a prompt, see Updating Scenario & Campaign Actions via API & MCP.
🐾 Netsuke's Tips
Be specific in your new prompt. The more context you give, the better the AI tailors the triggers and actions.
Update the prompt as many times as you like. Each update is recorded, so you can compare performance before and after a change in the metrics.
If you only need to rename the scenario or turn it on or off, you don't need to touch the prompt at all.
Review the regenerated flow before relying on it, the same way you would a freshly generated one.
What's next?
If you're starting from scratch rather than updating, read Generate scenarios from a text prompt using AI. For precise, step-level edits over the API, see Updating Scenario & Campaign Actions via API & MCP.