@pro.glitch: How to build an AI employee that chases your unpaid invoices Every studio has the invoice. It's 23 days late, and you've opened it four times this week. Here's how to build an AI employee that handles it, using tools you already have. Start with the automation. Every morning at 8, n8n pulls overdue invoices from Stripe and sends each client the same reminder. It works until it nudges a client who already paid by bank transfer. An automation follows its steps. It can't read the room. Put a brain in the middle. In n8n, that's the AI Agent node. Drop it in and three connectors grow out of the bottom: The model: Claude does the thinking. Memory: a Postgres table of what happened with each client last time. Tools: Stripe to look up invoices, HubSpot for client history, Gmail to write, Slack to reach you. Then write its job description, the way you'd brief a new hire: chase anything more than 7 days late, be warm with long-time clients, never offer a discount, and anything over $5,000 comes to you first. At 8 AM it runs: Harbor Coffee, 9 days late, small account: it sends a friendly nudge. Lumen Dental: it checks Gmail first, finds that they paid Friday, logs it in HubSpot and sends nothing. Kestrel Logistics, $12,400: it drafts the email, stops, and asks you in Slack. You approve in ten seconds. When it gets something wrong, you fix the job description once, and every run after that follows it. #aiemployee #aiagent #aiautomation

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Wednesday 30 September 2026 16:01:04 GMT