Build Your First AI Agent
You want one agent that can use a tool or two and answer a real question. Here is the simplest path that still teaches the right habits.
- 1
Pick a small framework
For a first agent, choose a framework with a small API: the OpenAI Agents SDK if you are on OpenAI, Pydantic AI if you want type-safe Python, or CrewAI if you want quick results. Avoid LangGraph for your very first agent; its power is wasted on a single-tool task and the graph API adds friction you do not need yet.
- 2
Give it one real tool
Define a single tool the agent can call, like a web search or a calculator, with a clear name and typed parameters. The clearer the tool description, the better the model decides when to use it. Start with one tool, confirm the agent calls it correctly, then add a second only once the first works.
- 3
Add a stopping condition and logging
Set a clear way for the agent to finish and a maximum number of steps so it cannot loop forever. Turn on whatever tracing the framework offers so you can see each model and tool call. Even basic logging will save you hours the first time the agent does something unexpected.