New Tri-Spirit Architecture splits AI cognition across three hardware layers to reduce latency and energy consumption in autonomous systems

Introduces Tri-Spirit Architecture that decomposes AI intelligence into three distinct layers: planning (Super Layer), reasoning (Agent Layer), and execution (Reflex Layer), each running on separate hardware substrates

Replaces current monolithic approaches (cloud-centric AI, on-device inference, edge-cloud pipelines) with an asynchronous message bus coordination system to improve behavioral continuity

Features a habit-compilation mechanism that converts frequently-used reasoning paths into zero-inference execution policies, reducing computational overhead

Implements parameterized routing policies, convergent memory models, and explicit safety constraints to formalize the system architecture