Tedoron wrote: ↑21 September 2026, 21:46
lefalaf wrote: ↑21 September 2026, 05:44
Perhaps I missed it somewhere, but what makes Claude qualified to provide coaching in Wingspan? What makes it an expert? Why are the results to be trusted?
Fair question because you are right Claude alone is not that good. If you would now paste your game log in claude or chatgpt it wouldn't tell so much relevant coaching advice. You get confident-sounding advice that's often wrong about card powers and the competitive meta. Most of the work I did went into fixing this.
I created a database of bird cards with individual strategic fit and tier. I also created a sort of "strategic bible" aggregating a lot of strategy guides and transcripts from the best youtube channels. I tested over 150 of my. games and give a feedback where I saw that the suggestion wasn't proper.
It's knowledge improving is now with every game analysed that receive a feedback from you testers
I am also working with a friend to create a coaching report based on a completetly different technical approach - more similar to the stockfish from chess. More about it soon.
I'm curious why you chose this approach.
It seems to me that Wingspan is a relatively simple game. The possibilities are quite large I suppose but the goal (acquire max point difference) as well as the mechanisms are well and simply defined, and the total number of moves in a game is fixed. You could develop evaluation metrics for moves, including starting hand decisions, that are deeply ground in a human understanding of those mechanics, and validate on a large dataset of games. You could perhaps use RL or Monte Carlo simulations. That way, the output of the product is data-driven and improvements are objective, directed, and informed. (A tech company would probably find some way to market that as "AI-driven", too!)
A personal tier-list/fit-list combined with a token generator to produce natural-language output similar to Youtube strategy guides, iterated on by manual review of small n results...it wouldn't occur to me that this is fit input for the evaluation tasks you describe. How do you overcome GIGO this way? On top of being highly verbose what would it add more than the fit-list/tier-list/strategy guide itself — apart from the distinct possibility of garbling the context and presenting advice that doesn't align at all with the information extracted from the content videos used as input?