Your First Post

The most dangerous thing you can do with an AI agent is deploy it without a map.

Not because it will fail immediately. Because it will succeed long enough for you to stop watching.

This is the pattern. You deploy an agent. It does the work. You get comfortable. You stop reviewing outputs carefully. And then, at some point — usually when the stakes are higher — it drifts. It makes a decision you did not expect. It produces output that is slightly wrong in a way that compounds.

By the time you notice, the problem is downstream of where it started.

The Groundwork exists to prevent this.

Before you commission any Post, you complete four documents. Not four forms. Four thinking exercises that force you to articulate — in writing — what this Post is for, what it cannot do, what correct looks like, and how you will prompt it.

Scope.md. Contracts.md. Testing.md. Prompting.md.

This is not bureaucracy. It is the difference between deploying an agent with a contract and deploying one with a wish.

The scope document answers one question: what is in, and what is out?

Most operators have an intuitive sense of what they want an agent to do. Almost none of them have written down what it cannot do. This is where drift starts. The agent finds the edge of its instructions and makes a judgment call. Without a scope document, that judgment is unconstrained.

With one, the agent Relays. It surfaces the ambiguity. You handle it. The system holds.

Starting with The Groundwork is not slowing down. It is the only path to running fast without breaking things you cannot afford to break.

Your first Post should be small. A defined territory. A clear Directive. A scope document that a new team member could read and immediately understand what this agent does and does not do.

Commission it. Run it. Review the outputs. Build the pattern.

The Groundwork is not a one-time document. It is a living contract. As the agent learns the territory, the documents update. As the territory changes, the scope document changes first.

This is how you build an AI-native operating system. Not with a single deployment. With a repeatable commissioning discipline.