This talk explores practical strategies for creating effective AI agents. Drawing insights from recent research, this talk focuses on enhancing LLMs with tools, memory, and control mechanisms, transitioning from static workflows to dynamic, goal-driven systems. Learn how simplicity, thoughtful augmentation, and robust frameworks can lead to smarter, more reliable agents ready for real-world challenges.