AI Chess
Club-level adult improvers rated roughly 1000-1900 on Lichess or Chess.com who already have Stockfish a click away but don't know how to interrogate an engine, read its evaluations, or turn its output into a training plan.
Who this is for
Club-level adult improvers rated roughly 1000-1900 on Lichess or Chess.com who already have Stockfish a click away but don't know how to interrogate an engine, read its evaluations, or turn its output into a training plan.
Read before you buy
38 articles, free and complete. The pack is the method in one place; the reasoning is all here.
- Analysing Your Own Games With An Engine 1 page how to analyse your chess games with stockfish
- Reading Engine Output: Evals, Depth And Lies 1 page what does chess engine evaluation mean
- Engines Compared: Stockfish, Leela, Maia, NNUE 1 page best chess engine for analysis
- Sparring Against Human-Like Bots At Your Rating 1 page human like chess bots to play against
- AI Coaching Tools And LLM Chess Prompts, Tested 1 page best ai chess coach
- Engine Setup: GUIs, Settings And Cloud Depth 1 page how to install stockfish on pc
Latest writing
- Turning Engine Findings Into A Weekly Training Plan 1,848 words Analysis without a conversion step is entertainment; this maps each error category to a specific drill, dose and review date so the week's study is chosen by your games rather than by mood.
- NNUE In Plain English: Why Stockfish Grew A Neural Network 1,612 words NNUE replaced hand-written positional rules with a small learned network that runs on CPU, which is why modern Stockfish evaluations of closed and sacrificial positions differ sharply from the versions most club advice was written about.
- Accuracy Percentage And Game Review Scores: What They Hide 1,766 words Accuracy rewards quiet positions and punishes sharp ones, so a 96% loss and a 78% win can represent identical play quality; treating it as a progress metric actively misleads you.
- Cloud Eval And Free Depth: Getting Deeper Analysis Without New Hardware 1,548 words Lichess cloud evals, shared analysis caches and free notebook compute cover most of the depth an improver needs; buying a faster CPU is the last resort, not the first.