With on-device models, the agent can get a real-time feel for how the player is doing. For example, we can use vision models to track eye gaze and figure out when the user might be facing search friction, analyze shaky taps for someone having a hard time with controls, meet players where they're at by allow by allowing handwriting recognition. Um focus traps. But we don't want the agent to just watch, we want it to act. We simulate on the right um well, the simulation on the right is a broken dialogue forcing a user into a keyboard trap. For a user using a switch or a keyboard instead of touch, focus order is very important. If we have a broken dialogue, tab and focus can be an endless loop with no way to navigate back. Here the agent can monitor that focus path, flag the loop, and inject an exit route live on the device. When you're navigating with limited dexterity or just fat fingers, tiny targets can mean a miss. Instead of using players instead of making players play operation, our agent is a live layout auditor. It measures the interface on the fly, catches violations, and dynamically resizes the controls. The agent rewrites the layout live adapting to the human and not the other way around.