Agents

• Memory — What an agent carries between steps and across sessions — the running context, notes it writes down, and facts it pulls from a store — and how to manage a context window that is always too small.
• Planning — Have the agent break a goal into steps before it acts, work the plan, and revise it as it learns — so a multi-step task doesn't wander or lose the thread.
• Tool use — The pattern every agent is built on: give the model a set of tools it can call, and loop — it picks a tool, you run it, the result goes back in, and it goes again.
• What agentic AI is — A plain-language take on what makes an AI system 'agentic', and how it differs from a chatbot.

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