n8n agent human fallback: when the bot doesn't know, Slack a human
At a glance
Official n8n AI example: a chat agent answers with GPT-4; if unsure it calls a sub-workflow that asks for the user's email and posts the unanswered question to a Slack support channel. This workflow is listed under n8n, Human-in-the-Loop, Agent-Orchestration, Support.
Anthropic’s Building Effective Agents appendix highlights two proven patterns—support agents that pull data and take actions like refunds, and coding agents that iterate against tests—with clear success metrics and human review.
Indie Hackers guide: Jotform intake → Zapier → Claude/ChatGPT triages priority and drafts a reply → a control form lets you edit → a second Zap finishes CRM/notify actions—only high-priority items pause for review.
n8n docs describe first-class agents with tools, knowledge bases, hourly/daily schedules, and sub-agent handoffs—plus embedding agents inside fixed workflows via the Message an Agent node.
An n8n template combines an Ollama agent, three Supabase vector knowledge bases, Postgres memory, request validation, deduplication, and confidence-based escalation across Slack, Gmail, and callbacks.