uncovers new facets in the design of ChessCoach and neural network-based engines in general. Rather than carefully optimizing for a convergent feedback cycle, the goal becomes raw playing strength. This is achieved primarily through speed, while accounting for the downsides of PUCT search and maintaining accuracy. Various techniques can be added and empirically tested using test suites and parameter optimization, given sufficient time and computing resources. As long as the techniques are turned off for sel