How an n8n AI support workflow was hardened for production
Head_Imagination_304 · reddit · 2026-08-04
A builder shares what changed when an n8n AI support workflow moved from demo to production.
Key takeaways:
- Classification matters more than generation: the first model only emits structured JSON such as topic, urgency, and whether a human is needed.
- Vague messages like “hi” are filtered before any AI call to save tokens.
- Replies are grounded in Notion knowledge base retrieval; if no relevant context is found, the ticket goes to a human instead of guessing.
- Retries, timeouts, and human fallback are treated as reliability requirements, not prompt tweaks.
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