The RSEA framework evolves a three-layer natural-language state consisting of strategies, skills, and playbooks. It rewrites these artifacts based on its own trajectories, committing updates only after passing a strict gate on disjoint held-out data. This approach prevents the overfitting common in self-evolving agents. Practitioners can now scale agent capabilities without updating model weights.