A/B testing principles are directly applicable to AI agents, particularly those designed to interact with users, such as chatbots, virtual assistants, or autonomous agents. By continuously applying these A/B testing principles and tracking the outcomes, AI agents can be incrementally refined to deliver better experiences, meet business goals, and stay aligned with user needs.