The article introduces PGRM, a Promptable Reward Model designed to enhance the confidence of machine learning models by effectively evaluating their responses. It emphasizes the importance of reward modeling in improving the alignment between AI outputs and user expectations, thus fostering more reliable interactions. The authors discuss the framework's potential applications in various AI contexts, highlighting its adaptability and effectiveness.