AEGIS introduces a method for improving long-horizon robot manipulation by using a lightweight probe to detect high-risk steps, allowing for timely control switches to a stronger policy. This approach has shown to recover more trajectories compared to traditional escalation methods, indicating a significant advancement in AI reliability for robotic tasks.