Context
n8n or Make hooks into your tools (inbox, CRM, calendar, Slack, docs). LLM nodes read the content, classify it, summarize it, route it or draft a reply. Guardrails catch the edge cases; humans only see what actually needs a human.
AI Workflows — Deep Dive
How AI replaces it
Back to AI-assisted ops: triage, summaries & routing
AI-assisted Ops
LLM nodes are the universal joint between your tools.
Pattern: read, decide, act
Almost every flow boils down to: a trigger reads new data (mail, ticket, lead), an LLM classifies/summarizes/drafts, a router decides the next step, an action node executes (create ticket, route lead, send draft for review).
Guardrails, not vibes
Every LLM step has a confidence threshold, a fallback path and a human-review queue for edge cases. The AI only acts autonomously where it's right >95% of the time; the rest goes to a person with full context.
Checklist
- Always design read → decide → act flows
- Set confidence thresholds explicitly
- Build a human-review queue from day one
- Log every LLM decision for audit