Lesson 1432 of 1570
Build your own agent in 30 minutes
Use an SDK like Claude Agent SDK or Vercel AI SDK to ship a working agent today.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2SDK
- 3tool calling
Concept cluster
Terms to connect while reading
Section 1
The big idea
Modern SDKs handle the loop, tool calling, and memory — you just write the system prompt and define tools.
Some examples
- Pick an SDK with a quickstart (Vercel AI SDK is friendly).
- Define ONE tool (e.g., a calculator).
- Run a prompt that requires the tool — watch the agent call it.
Try it!
Follow a quickstart and build an agent that uses one tool. Push to GitHub.
Understanding "Build your own agent in 30 minutes" in practice: AI agents don't just answer questions — they can do things, like looking things up, writing files, or talking to apps. Use an SDK like Claude Agent SDK or Vercel AI SDK to ship a working agent today — and knowing how to apply this gives you a concrete advantage.
- Design clear agent goals before adding tools
- Define permissions and scope before deploying any agent
- Build in human-approval checkpoints for high-stakes actions
- Understand when to use an agent vs. a simple chat prompt
- 1Design an agent spec: goal, tools, permissions, stop condition
- 2Run a simple web-search agent in a sandbox environment
- 3Instrument an existing workflow to identify where an agent could save time
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
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