The Knowledge Gardenfield notes on working with AI
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Field note 06 · Agents

AI Agents

Software that decides its own steps.

An agent is given a goal and left to choose the steps toward it. That is what makes agents powerful, and it is also why this is the one topic to approach slowly. The risk is not that an agent is too weak - it is that it acts confidently on something you did not think to check. This note is here to orient you, not to get you building one today.

Agentic AI describes a way of working: the model plans, takes several steps, uses tools, and checks itself, instead of answering one prompt at a time. An AI agent is a specific, configured thing built to run a defined job with some autonomy. Put simply: agentic is the adjective (how it behaves), an agent is the noun (the built worker).

You are almost certainly already using agentic AI - Cowork and Claude Code work this way, with you in control. Building your own agent, one that runs a job on its own, is a different and later step.

Do not start here. An agent needs the basics under it first: clear briefing, a few skills, a workflow or two, and human checkpoints. We rarely know how much we do not know, and an agent will carry a wrong assumption forward at full speed. Learn the earlier notes until they feel ordinary, then come back.

Orientation, not a build guide

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Are you ready for an agent?

Pick the one that is true today. I'll tell you honestly where you stand.

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