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Agent Operating Loops That Do Not Drift
A practical pattern for keeping AI agents useful: small tools, visible state, and verification loops.
The loop matters more than the prompt
Agents become useful when the loop around the model is boring in the best way. Give it a goal, expose a narrow set of tools, record every action, and verify the result before the next step. The model is the planner, but the operating loop is the product.
Keep tools small
Every tool should have a clear boundary. A good tool can be described in one sentence, returns structured data, and fails loudly. That makes it easier to test and much easier to audit when the agent takes an unexpected path.
type ToolResult<T> = {
ok: boolean;
data?: T;
error?: string;
};Verification is a feature
An agent that can act but cannot check its work is a demo. Useful systems include command output, typed assertions, diff review, and human-readable logs as first-class product surfaces.