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AI Agents as Systems

Understanding AI agents from a systems perspective — architecture, orchestration, and design patterns.

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Tokens

How tokenization works, token limits, context windows, and their impact on AI agent behavior.

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Tool Layer in AI Agents

How AI agents interact with external tools, APIs, and services to take actions in the real world.

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Memory in AI Agents

How memory works in AI agent systems — from short-term context windows to long-term vector storage and retrieval.

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Planning in AI Agents

How AI agents decompose complex tasks into structured, executable steps using static, dynamic, and hybrid planning.