This talk explores the evolution of AI from static, rules-based systems to dynamic, autonomous agents capable of perceiving their environment, making decisions, and taking action without step-by-step instructions. Attendees will discover how AI agents differ from traditional AI-enabled workflows, delving into their capacity to autonomously gather data, reason through complex challenges, and seamlessly integrate diverse tools to achieve targeted outcomes. Through real-world examples—ranging from self-driving cars to innovative coding agents—we’ll examine the transformative role of these intelligent systems in reshaping industries and redefining automation. The session will also address both the potential and limitations of AI agents, providing practical strategies for leveraging low-code and pro-code frameworks in their development and deployment.