This paper introduces MAS³ (Multi-Agent System Cubed), a conceptual three-dimensional framework for organizing multi-agent AI systems along orthogonal axes of Role, Domain, and Layer. The architecture defines a 3×3×3 grid of micro-agents supporting modular specialization and structured cross-dimensional verification. This is a purely conceptual framework with no implementation, performance claims, or new mathematical results. Fibonacci numbers are presented as a design heuristic for bounding recursive hierarchies, and tensor representations are discussed as a modeling lens. This version (v1-Revised) supersedes an earlier draft and represents the foundational MAS³ contribution before extensions to N-dimensional frameworks (see companion MASⁿ paper).

Core architectural concepts protected under U.S. provisional patent applications filed November 2025. This paper underwent multi-agent adversarial review (ChatGPT, Claude, Grok, Gemini). This is the foundational MAS³ paper focusing on the 3×3×3 geometric structure. For comprehensive theoretical framework including N-dimensional extensions, see: Cohen, E. (2025). MASⁿ: A Geometric Multi-Agent Cognitive Architecture with Fibonacci-Constrained Scaling.