I asked for a move a human would make. Stockfish replied with the correct one

The author shares their experience using the Stockfish chess engine in a browser for game analysis. The main issue users encountered is that the algorithm suggests mathematically perfect but often 'inhuman' moves that are difficult to understand or apply in a real game. The article discusses an attempt to make engine suggestions more intuitive and understandable for casual players by mimicking human thinking styles. The author reflects on how to tune AI tools so they don't just provide optimal results, but also offer solutions consistent with the user's skill level and logic. This raises an important question about the balance between the absolute accuracy of algorithms and their practical utility in training and gameplay. The development aims to make interaction with powerful chess engines more natural and beneficial for developing player skills.