The article discusses how a decision-maker can choose between two agents for a task without knowing their qualifications. The goal is to maximize profits while agents aim to increase their chances of being selected. The study identifies a strategy that achieves the best outcome when possible and proposes a new method for decision-making in dynamic situations. The findings show that in cases where the best outcome is not achievable, a one-shot Nash equilibrium is the next best option. The analysis also applies to scenarios with more agents, individual performance concerns, communication, and losses.