video1.0<iframe src="https://www.loom.com/embed/47fc3391b7734d4ca0fb12ecc5467bbe" frameborder="0" width="1600" height="1200" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12001600Loomhttps://www.loom.com12001600https://cdn.loom.com/sessions/thumbnails/47fc3391b7734d4ca0fb12ecc5467bbe-b9ec00274a4863ab.gif340.524In this video, I walk through the integration of the Agent Collaboration Optimizer and Agent Learning Scheduler with CREO AI Agents. The Collaboration Optimizer uses a custom reinforcement learning environment to enhance how agents collaborate, improving task completion time and efficiency. Meanwhile, the Learning Scheduler monitors agent performance and adjusts retraining frequency to ensure optimal learning. Both tools are fully integrated into the CREO AI framework, allowing agents to adapt their behavior in real time. I encourage you to review this integration to understand how it can help our agents work smarter and more efficiently.