AI agents vary in type: reflex agents act instantly, rule-based agents follow predefined logic, model-based agents use past context, goal-driven agents optimize toward specific outcomes, and utility-based agents evaluate trade-offs to make the best decision. Choose based on task complexity—reflex suits quick decisions, while model or utility-based agents offer adaptability for evolving tasks.