In this episode, we explore various paradigms enabling AI agents to take actions on the web and on the edge. We delve into the multi-modal method used by Magentic-One, recently released by Microsoft, and the reinforcement learning-based navigation method Agent Q developed by MultiOn. Additionally, we discuss TinyAgent from UC Berkeley, which allows agents to operate on edge devices and assist users with daily tasks.