The RSEA framework improves LLM agents by evolving a three-layer natural-language state consisting of strategies, skills, and playbooks. It employs a strict keep-better gate to prevent regression on held-out data splits. This recursive approach allows frozen policies to optimize their own workflows. Practitioners can now iterate agent behavior without expensive retraining.