Two experts propose a synthesized command and control framework to better align AI decision-making with human intent. The method focuses on training models to translate strategic goals into tactical actions. This approach aims to reduce friction between commanders and autonomous systems. It provides a technical blueprint for integrating human judgment into high-speed combat loops.