Developed a new AI module for the rpyle/2025TicTacToe repository, focusing on algorithm design and game development using Python. The work centered on groff.py, which introduced board rendering and core game logic for Tic-Tac-Toe, along with two distinct AI strategies. One strategy, Next Open, proactively selects moves, while the Line, Random approach deterministically fills the last column before switching to random moves, managed by an iteration counter. This update enhanced automated testing and reproducibility of AI behavior, enabling faster evaluation of strategy effectiveness and supporting future experimentation. The codebase improvements also contributed to clearer, more maintainable and testable AI logic.