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AI Agents Explained Print

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Systems that take actions, not just produce text.

WHAT AN AGENT IS

A system that can perform actions: search, call other software, read files, execute steps, and use the results to decide what to do next.

Rather than producing a single response, it works toward a goal over several steps.

WHAT THIS ENABLES

Researching a question across multiple sources Completing a multi-step task Interacting with other systems Working with less supervision

WHAT GOES WRONG

Errors compound across steps The system may pursue a misinterpreted goal persistently Actions have real consequences, unlike text

THE SUPERVISION QUESTION

An agent that can send email, modify files or spend money requires careful limits.

What it can do should be constrained deliberately, not left open.

WHERE THEY ARE GENUINELY USEFUL

Research tasks with checkable output Repetitive multi-step processes Assistance within defined boundaries

WHAT TO ESTABLISH BEFORE DEPLOYING ONE

What it may do What requires human approval What it may never do How you would know if it went wrong

THE PRACTICAL POSITION

Promising, and requiring more oversight than a chat assistant.


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