ChessMindAI is a platform focused on improving chess education by combining advanced artificial intelligence with classic gameplay. Our current project explores how AI can assist in writing expert-level commentary for a chess textbook by generating insightful explanations for individual board positions. To achieve this, we use a custom, agentic workflow that integrates retrieved chess concepts, web search tools, grandmaster examples, and Stockfish evaluations. The system also performs self-evaluation to ensure the outputs are accurate, contextually relevant, and aligned with high-level strategic reasoning.
We are also adapting this workflow into an interactive tool that challenges users with chess scenarios and scores their responses based on key positional ideas, offering feedback to highlight strengths and areas for improvement. By combining fast, scalable evaluation with targeted feedback, ChessMindAI gives players a practical way to track their progress and develop deeper strategic thinking over time.
