This week, I finished building the frontend user interface for the chess application and integrated it with the existing backend components. The interface now supports visualization of the board state and user interactions with the system, allowing moves and engine responses to be displayed in real time. In addition, I began working on the LLM agent state management and retrieval-augmented generation pipeline, researching how to structure context and maintain consistent reasoning for move explanations.
My progress this week is generally on schedule. Next week, I plan to conduct user testing to evaluate the usability of the UI and gather feedback on interaction design. I will also continue developing the agent state management and RAG components to improve how the system generates and maintains contextual explanations for gameplay decisions.