Start with the fundamentals
Do not begin by memorizing agent frameworks. First understand model APIs, structured output, tool calling and state.
Then learn the agent loop
A practical agent repeatedly observes context, chooses an action, calls a tool and evaluates the result.
Add MCP and workflow design
MCP can standardize how models connect to tools and data. In production, explicit workflows and evaluation are usually more important than adding more autonomy.