@pro.glitch: Three workflows around your AI employee Follow one customer quote request through a practical n8n design: 1. Record the unfinished task with a Data Table node: request ID, owner, status and deadline. A greeting leaves the quote open. 2. Retrieve an approved package price and use an IF node to route missing information to review. Keep sending after the checks, with human approval to start. 3. Record message submission separately from provider-reported delivery. 4. Use a Schedule Trigger workflow to find overdue unresolved requests and alert the owner. Track alert history to limit repeated notifications. 5. Link an Error Trigger workflow through the main workflow's Error Workflow setting. Test it using an automatic run in an isolated setup; manual editor runs do not invoke it. Keep customer sending disconnected while testing. Include missing data, overdue tasks and duplicate events. Duplicate-safe actions and uncertain-send reconciliation need additional implementation before automatic sending. Use an outside monitor for n8n outages. #aiautomation #aiagent
this is the gap most n8n builds miss — "execution successful" in the log isn't the same as the customer actually being taken care of. giving the job its own record instead of trusting the trigger status is underrated
2026-09-17 12:14:45
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