n8n workflows with LLM classification
Webhook → validate data → Claude classifies (heat score, intent) → save to CRM → Gemini drafts a personalized reply → Gmail. Plus an error branch with a Telegram alert.
We took an existing Make scenario from a building-materials dealer apart in a QA review and rebuilt it as a hardened n8n workflow. The classification now steers the flow, uncertain matches get a review flag, nothing is lost silently.
Orders arrive as PDFs by email. Someone types the line items into the ERP, mixes up item numbers or files a change as a new order. In the reviewed scenario the AI classification steered nothing, special characters broke the order file and items without a match vanished silently. Errors surfaced at the customer.
The rebuild closes the three break points of the original scenario: the classification steers the flow, special characters no longer break the file, no item is dropped silently. What remains is a review path for the cases a human has to decide.
Webhook → validate data → Claude classifies (heat score, intent) → save to CRM → Gemini drafts a personalized reply → Gmail. Plus an error branch with a Telegram alert.

Telegram voice note → Whisper transcript → automatically classified tasks in the backlog. Cron jobs surface reminders.