Best Practices for Iterative AI Agent Workflows in n8n?

I’m exploring how to design workflows in n8n to work iteratively with AI Agents (like OpenAI nodes) before moving to the next steps in the flow.

The idea is to:

  1. Iterate back and forth with the AI Agent (e.g., refining text or content) until I’m satisfied.
  2. Once the output is ready, manually trigger the workflow to proceed to the next steps (e.g., processing the output with a Code node or publishing it via WordPress).

workflow example

It looks like your topic is missing some important information. Could you provide the following if applicable.

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:

Good stuff! I just replied to you other thread as well about the new AI series we have on youtube you check out :slight_smile:

https://www.youtube.com/playlist?list=PLlET0GsrLUL7LWMf4Q3gHNu5mk-hur7QV

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