The best orchestrations learn from outcomes. Orchestration memory tracks which patterns and teams succeeded for which task types. Outcome tracking measures quality, latency, and cost for each orchestration. A/B testing compares different patterns, teams, or prompts with statistical rigor. Feedback loops incorporate user signals to improve future orchestrations. Team chemistry metrics identify which agent combinations produce best results. Continuous improvement makes orchestrations better over time, not just static routing.