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This resonates a lot with what I’ve seen outside of code too. I’ve been building an AI chess coach and noticed the same pattern: people plug their games into St
by nightfox1 2y ago
This resonates a lot with what I’ve seen outside of code too. I’ve been building an AI chess coach and noticed the same pattern: people plug their games into Stockfish, see a list of best moves, and walk away thinking they’ve “analyzed” the game. But real understanding — like in programming — only comes from engaging with why things went wrong.
That’s what I’m trying to fix. Instead of just showing lines, my AI coach gives voice-guided feedback, visual highlights, and practical insights. More like working with a real coach than sifting through raw engine output.
The goal is to make analysis as engaging as playing—and shift the mindset from “just tell me the best move” to “help me think better.”
Demo if curious: https://www.loom.com/share/9e1578f1348841c1992c5d902e371312?sid=56108d1f-e81a-4538-84e9-c4792e96aea1 https://www.loom.com/share/9e1578f1348841c1992c5d902e371312?...
- morcus 2y agoSeems like an interesting idea - is it only tactics in scope or has does the AI also do well at analyzing strategic ideas? Some other thoughts: Isn't the first example just wrong? The AI says "after dxe3 Rxd8 Rxd8, white wins the exchange, gaining a Rook for a Bishop" but unless I am mistaken actually it's a Queen for a Rook and Bishop? Also, it seems the visual highlight AI referenced is not working? Talks about Rad1 while the pawn is still highlighted.
- nightfox1 2y agoIt will do both tactics and strategy. Also working on incorporating positional concepts. Yes you are right. It is still in demo phase, it still does make mistakes. I am refining the model and inputs, so definitely a work in progress :) Regarding the circle highlighting, the agent is deciding / reasoning which square to highlight. So it is non-determinsitic, so it is sometimes right / wrong. It will definitely get better as the models improve