Explore the foundational design patterns behind AI agents — from simple prompt chains to multi-agent orchestration — and learn how to apply them to real-world automation tasks.
An AI agent is a software system that uses a Large Language Model (LLM) as its reasoning engine to autonomously complete tasks by deciding which actions to take, executing those actions (via tools, APIs, or code), and iterating based on the results.
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