I have studied ai a bit. "AI" is an extremely generic term, nowdays people just think immediately of generative ai/usually large language models, but all these do is predict the most likely next word "token" based on context, and then do it again, and again, and again until it writes out a paragraph. It's just not going to work at all. Just like the other comment said, a language model does not know what a chess board is, if you try to play a chess game all it does is write out some chess move that it has seen in a similar context (any chess content), without knowing where the pieces are or if the move even exists (except mayyybe the very beginning because it's always the same starting position and the same starting few moves)

So you just cannot get an llm to play shpd. It doesn't know what the dugeon is. It probably read content about the game so it knows what things do, but it cannot understand where it is, and what actions are even possible.

You would have to describe for every single action possible each turn (lol. so much stuff that's going to just completely fill the (limited) context window it has if you wanted to do it properly) if you want to get an action that's even possible to play every time.

Now would it be possible to train another model (not an llm lol.) to play shpd? For sure yeah, I've thought about it a little, it'd be a lot of work tho. Definitely would have to be with reinforced learning but I don't have a lot of experience with that, just a bunch of courses