Conceptual synthesis note introducing a two-layer architecture for binary partition diagnostics through the separation of constraint geometry and domain physics.

A project developed for AI Programming exam revision, exploring various AI strategies like GOAP with a Blackboard system and Behavior Trees, as well as Procedural Content Generation using Binary Partitioning and Cellular Automata. Includes a test scene for real-time experimentation.

☕ Compute the number of binary partitions