Jin Shicheng enhanced the SengokuCola/MaiMBot repository by developing a feature that brings dynamic reply style personalization to private chats, aligning their behavior with group conversations. Using Python and leveraging skills in AI integration and backend development, Jin implemented a configuration-driven approach that selects randomized reply styles for private messages, improving user engagement and consistency across chat contexts. The work addressed a gap where private chats lacked the varied response styles present in group chats, resulting in a more cohesive user experience. This focused contribution demonstrated thoughtful design and effective problem-solving within the chatbot development domain over the course of the month.