Developed the foundational AI and game logic for a Tic Tac Toe prototype in the rpyle/2025TicTacToe repository, focusing on modularity and future scalability. Leveraging Python and core game development principles, the work established a reproducible prototype with a clear separation of concerns by integrating a dedicated AI module. The implementation included board display, move generation, and a row-based strategy to enhance AI decision-making and reduce basic errors. By preparing import paths and structuring the code for rapid iteration, the developer enabled straightforward feature expansion. No major defects were reported, reflecting careful attention to code quality and maintainability throughout.