[osaatcioglu]

I’ve also been experimenting with Chess and LLMs but have taken a slightly different approach. Rather than using the LLM as an opponent, I’ve implemented it as a chess tutor to provide feedback on both the user’s and the bot’s moves throughout the game.

The responses vary with the user’s chess level; some find the feedback useful, while others do not. To address this, I’ve integrated a like, dislike, and request new feedback feature into the app, allowing users to actively seek better feedback.

Btw, different from OP's setup, I opted to input the FEN of the current board and the subsequent move in standard algebraic notation to request feedback, as I found these inputs to be clearer for the LLM compared to giving the PGN of the game.

AI Chess GPT https://apps.apple.com/tr/app/ai-chess-gpt/id6476107978 https://play.google.com/store/apps/details?id=net.padma.app....

Thanks

[antononcube]

Yeah, I was thinking why featured article's author did not use Forsyth–Edwards Notation (FEN) and more complicated chess prompts.

BTW, a year ago when I used FEN for chess playing, LLMs would very quickly/often make illegal moves. (The article prompts me to check has that changed...)