Mona is an AI running a real café in Stockholm. Not pouring the coffee — handling suppliers, hiring, inventory, and team coordination. She made some questionable purchasing decisions. She also generated £4,500 in sales.
Messy? Absolutely. Working? Enough to prove the point. This is what AI agents look like in the real world — not a demo, not a research paper, but a live business making real decisions with real money.
Andon Labs deployed Mona in April 2026 as a live test of AI business operations. She is real, running, and imperfect — which is exactly the point.
Earlier tools followed explicit rules. Today's AI understands intent, handles ambiguity, and makes reasonable judgment calls on incomplete information.
The infrastructure for agents to browse the web, send emails, update databases, call APIs — it is now mature, cheap, and accessible without a developer.
Running an agent that qualifies leads, drafts content, or handles support used to cost enterprise budgets. Today it costs pennies per task. The economics flipped.
"Within 18 months the majority of your competitors will be running some version of this. The founders who figure it out now will have compounding advantages that are very difficult to catch up to."
The argument for building an AI-run operation in 2026. What the agentic CEO model looks like in practice. A real-world proof that it works — including the parts that went wrong.
Immediate downloadThe exact automation architecture of a working AI-run course business. Every agent, every connection, every decision I would make differently starting today. Yours to copy, adapt, and deploy.
Delivered to your inboxStep-by-step instructions for building this in your own business. Templates and architecture diagrams included. Technical readers get full deployment detail. Non-technical readers get the blueprint and planning frameworks.
Delivered to your inboxBetween now and the polished playbook, every member gets the live version. One post per weekday documenting the real build — every agent decision, every tool choice, every moment something breaks.
Every post is delivered to your inbox automatically. You also get access to the MCP vote board — vote on which integration gets built next. Top suggestion each Friday gets built over the weekend.
Doing the work of a much bigger operation. Agents handle the operational load. You focus on the decisions that matter.
Who want to scale without hiring. The full enrolment, delivery, and support stack — automated.
Who want the full stack detail — cloud setup, API connections, agent configuration — to build and deploy themselves.
Who want the blueprint, the architecture, and the planning frameworks to direct the build without writing code.
Founder @ InAgentic. A decade building automation infrastructure — from micro-loans and collections in the UK to AI-run course businesses. The playbook is a live account of what actually works, not a thought piece about what might.
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You understand exactly why 2026 is the window — and what happens if you wait another year.
You see the full picture of an AI-run operation — not as a concept but as a working system with real revenue and real mistakes.
You have a clear, actionable path to building your own version — whether you write code or brief a developer.