Building an AI agent starts with defining a clear goal, like automating customer support or scheduling tasks, then training it with relevant data and setting up triggers for actions. You'd typically use frameworks like LangChain or AutoGPT to handle complex reasoning, and connect APIs for tasks such as sending emails or updating databases. The trick is balancing autonomy with guardrails to prevent runaway behavior, so you test edge cases heavily. It's iterative—deploy, observe failures, refine… AI agent development 7