Rational agents should align with practices rather than fixed goals. This research argues that virtue-ethical agency replaces the traditional orthogonality thesis to prevent rigid goal-seeking behavior. By prioritizing action-evaluation criteria over final objectives, developers can create more flexible systems. This theoretical shift challenges the current industry standard of reward-function optimization in AI alignment.