chess cheating tool uses the latest generation of neural network architectures, trained on databases of millions of professional games. The system is capable not only of analyzing played games, but also of generating unique training positions, simulating game situations, and predicting the development of chess theory. A distinctive feature is the use of reinforcement learning methods to continuously improve analysis algorithms. The technology even allows for psychological aspects of decision-making at the chessboard to be taken into account.