Understand the leap from chatbots to AI agents that perceive, reason, use tools, and act autonomously — and learn to design and build them.
Before
Think about a task you do regularly that involves multiple steps (e.g., researching a topic, processing data, setting up a project). Write down each step. Now ask: Could an AI agent do each step if it had the right tools? Which steps require human judgment? This exercise reveals where agents add value and where humans remain essential.
After
An AI agent is not just a chatbot with more features — it is a fundamentally different architecture. Agents perceive their environment, reason about what to do, take actions using tools, observe the results, and repeat until the goal is achieved. The key difference is autonomy: agents decide what to do next, not the user.
Tip
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What Are AI Agents & How They Differ from Chatbots
Define AI agents and explain the perceive-think-act loop
Designing Agent Workflows
Decompose complex tasks into agent-suitable subtasks
Building Agents with Claude
Use the Claude Agent SDK to build a tool-using agent in Python or TypeScript