Understand agents. Write your first code.

Before you start

No coding or AI background required.

Each lesson follows the same rhythm: understand three small ideas, edit and run the code, then explain the result. Take one lesson at a time.

In your browser, JavaScript and local tools really execute against inspectable inputs. Model decisions and classroom records are authored examples. The optional SDK project runs separately on your computer with its own setup.

Your lesson sequence

1. 1Learn → build → reflectA model is one part of the systemDistinguish generated text, a fixed workflow, and a tool-using decision loop.
2. 2Learn → build → reflectYour first few lines of codeRead values, name variables, and write a function with an input and a return value.
3. 3Learn → build → reflectMake a rule you can testUse arrays, comparisons, conditions, and a bounded loop to inspect choices.
4. 4Learn → build → reflectTurn an idea into a clear goalWrite explicit success criteria, allowed actions, and a stop condition before implementation.

CONNECT THE FOUR LESSONS

Your course checkpoint

In the final lesson, make a room cost exactly the budget, then one cent more. Predict and run both inputs using the same code.

• Show why the exact-budget room qualifies and the more expensive room does not.
• Explain why returning null can satisfy the task.
• Name one part of this task that ordinary code can solve without a model.

Use these lessons’ experiment inputs and lab notebooks to record your evidence. This is a self-review prompt; only the lesson questions and code cases contribute to the progress shown above.