Curt Doolittle

Oversing: An AI- First Operating System for Organizations of Any Scale

Reality by Chanting’s Oversing Platform is the first computable operating system for human organizations. It uses large language models not merely as tools for language processing but as agents of institutional cognition — transforming raw information into structured memory, judgment, and cooperation.

Oversing’s architecture applies Natural Law’s operational grammar and Runcible’s truth-constrained reasoning layer to enterprise management. It decomposes human communication into measurable operations, linking every statement, decision, and action to a verifiable causal chain. By doing so, Oversing builds an organized memory system where the organization’s knowledge and decisions are recorded as computable state transitions — auditable, improvable, and teachable to machines.

Unlike traditional enterprise software that fragments workflow into silos, Oversing unifies them through a single epistemic substrate: language as law, cooperation as computation, and memory as capital. Every LLM interaction becomes both interface and infrastructure — producing continuous institutional learning while ensuring accountability through reciprocity and decidability tests.

In practice, Oversing functions as the connective tissue between humans, data, and AI systems. It measures contribution, coordinates decisions, and maintains institutional coherence without managerial bottlenecks. The result is a self-governing, continuously learning organization — one whose memory and cooperation evolve together under the same lawful logic that governs truth itself.

Research in Unification, Operationalization, and Computability

My research aims to construct a unified, empirical foundation for epistemology, ethics, and jurisprudence grounded in operational reasoning and evolutionary computation. I advance what I term the Natural Law of Reciprocity—a scientific reconstruction of natural law that defines truth as testifiable testimony, morality as reciprocity under constraint, and law as the institutionalization of decidability. This framework extends Popperian falsification and Aristotelian realism into the moral and legal domains, establishing a universal logic of cooperation that is empirically testable, legally actionable, and evolutionarily stable. My current work focuses on formalizing these principles into computable legal and institutional systems capable of resolving disputes and coordinating action without reliance on metaphysical or discretionary judgment.

Keyword Index: Epistemology, philosophy of science, natural law, evolutionary ethics, legal theory, institutional design, cognitive science.