A neuroevolution sandbox where populations of feedforward neural networks learn to navigate procedurally generated mazes through genetic algorithm selection, crossover, and mutation. Each agent uses ray-cast sensors to perceive walls, with a custom physics engine handling ball-rolling mechanics. Features 11 difficulty presets, generational fitness graphs, death heatmaps showing where agents fail, and real-time visualization of the fittest network's topology and weights.