The RSEA framework evolves a three-layer natural-language state comprising strategies, skills, and playbooks. It rewrites these artifacts based on its own trajectories but only commits changes that pass a strict held-out selection gate. This prevents the overfitting common in self-evolving agents. Practitioners gain a method to improve frozen policies without retraining.