Putting It Together

Module 3 · Section 6 of 6

Putting It Together

A realistic AI-augmented workflow:

1. Webhook trigger receives a contact form submission
2. Basic LLM Chain classifies the intent (sales / support / spam)
3. Switch routes based on classification
4. For sales: LLM Chain extracts company name and urgency signals, then Telegram node sends a formatted notification with those fields
5. For support: LLM Chain summarises the issue, then it gets written to a database with the summary attached
6. For spam: workflow ends silently

That’s six nodes. The two AI steps add judgement at the points where judgement is actually needed. Everything else — routing, formatting, storing, notifying — is handled by standard n8n nodes that are fast, cheap, and predictable.

---

The next module shows the complete workflows in production.