"What Exactly Is an AI Agent?"

You've probably used ChatGPT. You type something, it responds. That's a conversation — reactive, stateless, and bounded by a single exchange. But what if instead of just *answering*, the AI could *plan*, *search the web*, *write code*, *run it*, *check the result*, and *decide what to do next* — all without you saying another word?

That's an AI agent. And it's not science fiction. It's running in production right now.

The gap between "chatbot" and "agent" is one of the most important conceptual shifts in modern AI. It's also surprisingly poorly understood, even among people who work with AI daily. This series breaks it down from first principles — how agents are structured, how they reason, how they remember, and why building reliable ones turns out to be one of the hardest problems in computer science.

From the ReAct loop that powers most modern agents, to memory architectures that let them recall past work, to multi-agent systems where specialized AIs collaborate like a software team — each chapter adds one more layer to a complete picture of what autonomous AI actually looks like under the hood.

"What Exactly Is an AI Agent?"

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