Employ AI.
Run the work.

Everyone is using AI. Almost nobody is employing it. This is the operating room: real autonomous systems, real failures, and the permanent rules they burned into us.

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The first law

“If a rule isn’t code, it’s a wish.”

Learned the morning an autonomous system almost hired a botanist who didn’t exist. Every rule in the library was paid for the same way.

Read that story
The difference

Assistants answer. Employees work.

Production, not demos

Nothing taught here is hypothetical. These systems ran last night — finding work, qualifying it, producing deliverables — while their employer slept.

Scars are the syllabus

The mistakes are the product: the machine that almost hired a nonexistent botanist, the four-day silent outage behind green dashboards. Every failure became a rule.

Rules you can code

Every lesson lands as an operating rule short enough to remember and concrete enough to implement tomorrow.

The rule library

If a rule isn’t code, it’s a wish.

Operating rules from a real AI-employment practice — each one paid for with a real mistake. Read the library

Watch

Episodes are in production.

The channel launches with the story of how these systems actually run — and the mornings they broke. Subscribe on YouTube or join the list to get episode one.

Read deep

Start here — free, long, permanent

Category

Employing AI vs using AI

The five things an AI employee has that a chatbot never will.

Don't prompt an assistant. Employ a worker.
Scar → rule

If a rule isn't code, it's a wish

The near-miss that defined the brand: gates in prose are hopes.

If a rule isn't code, it's a wish.
Scar → rule

One owner per artifact

Two agents, one night, two overwrites. Ownership is the fix.

One owner per artifact.
Scar → rule

Green lights lie

Four days silent while every dashboard stayed green.

Check who the machine thinks it is.

All essays →