Artificial Intelligence as Cognitive Infrastructure: Documenting the Role of AI in the Discovery of Black Belt OS™

The integration of artificial intelligence (AI) into scientific practice is rapidly reshaping the production of knowledge, raising questions of authorship, validity, and epistemic legitimacy. This article documents the role of AI in the discovery and articulation of the Black Belt OS (BB-OS), a proposed universal structural law of organization. While the foundational insight—the recognition of nine essential processes, forty-five steps, and ninety-eight irreducible actions—was provided by the human author, the large language model (LLM) functioned as a cognitive infrastructure: synthesizing literature, mapping analogies across domains, generating structured drafts, and testing falsifiability criteria. We detail the workflow, including prompt engineering, evidence validation, logging of outputs, and human oversight. The article demonstrates that AI did not originate the law but amplified its articulation, accelerating the transition from intuitive insight to rigorous scientific documentation. The implications are threefold: (i) for epistemology, AI-assisted reasoning inaugurates a new model of scientific discovery; (ii) for research practice, we propose a reproducible protocol for integrating AI while preserving human authorship; (iii) for management and organizational science, the BB-OS becomes the first documented case of a structural law articulated through human–AI collaboration.