video1.0<iframe src="https://www.loom.com/embed/8076e4b4415b4ca2940e1895b5f250b4" frameborder="0" width="1620" height="1215" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12151620Loomhttps://www.loom.com12151620https://cdn.loom.com/sessions/thumbnails/8076e4b4415b4ca2940e1895b5f250b4-00001.gif295.8In this video, we continue from part one and use the concepts explained to build our own agent for a difficult task. The task involves reading the effect of an ability in a card game and providing the data back to us. We explore how the agent begins, the variables it stores, and the workflows involved. We also discuss the tools needed, such as a health effector, token effector, and token finder. Join me as we dive deeper into the process of designing our own agent.