Curt Doolittle
A Bio and Archive of My Thoughts
My name is Curt Doolittle. I’m a philosopher, a social scientist, and a serial tech founder and CEO.
Today, aside from running a company building amazing technology, I run a global think tank in constitutional and legal reform.
I’m presently living in the USA, near Seattle. But I’ve lived, started, bought, and run companies and a think tank across the world, including the USA, Canada, UK, Russia, and Ukraine.
Current Companies
My Work On Epistemology, Unification, and Law
( … )
The Natural Law Institute – A Think Tank
( … )
Oversing
At Reality by Chanting, We’re developing Oversing and Runcible – a universal application platform that helps you communicate, collaborate, work and manage – then tries to help you improve yourself and your organization.
Runcible
At Runcible We’re developing …
Runcible Intelligence
Runcible is a truth-constrained intelligence layer that makes artificial intelligence lawful, decidable, and accountable. It operationalizes Curt Doolittle’s Natural Law framework — the unification of epistemology, law, and computation — by embedding tests of truth, reciprocity, and decidability directly into machine reasoning. Current AI systems operate by correlation: they predict the next word, token, or embedding pattern without the capacity to test whether that output is true, reciprocal, or lawful. Runcible adds that missing layer of constraint — transforming prediction into computation, probability into proof, and language into law.
It works because it converts moral and legal reasoning into formal, testifiable operations: every claim can be reduced to an action, every action to a sequence, every sequence to a cost, and every cost to a question of reciprocity. This closure between epistemology and computation allows machines to reason about truth and liability under the same rules that govern human cooperation.
The result is a universal governance architecture: a system that prevents hallucination, resolves undecidability, and enforces accountability — enabling artificial and institutional intelligences to reason as lawfully as they speak.
Oversing
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.
The Natural Law Institute
Runcible is a truth-constrained intelligence layer that makes artificial intelligence lawful, decidable, and accountable. It operationalizes Curt Doolittle’s Natural Law framework — the unification of epistemology, law, and computation — by embedding tests of truth, reciprocity, and decidability directly into machine reasoning. Current AI systems operate by correlation: they predict the next word, token, or embedding pattern without the capacity to test whether that output is true, reciprocal, or lawful. Runcible adds that missing layer of constraint — transforming prediction into computation, probability into proof, and language into law.
It works because it converts moral and legal reasoning into formal, testifiable operations: every claim can be reduced to an action, every action to a sequence, every sequence to a cost, and every cost to a question of reciprocity. This closure between epistemology and computation allows machines to reason about truth and liability under the same rules that govern human cooperation.
The result is a universal governance architecture: a system that prevents hallucination, resolves undecidability, and enforces accountability — enabling artificial and institutional intelligences to reason as lawfully as they speak.
Work On Epistemology, Unification, Economics, and Law
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.
Computable Governance, Constraint, Closure
- Natural Law defines what is true, ethical, and possible →
- Runcible ensures machines reason truthfully, ethically, and within the limits of possibility →
- Oversing ensures people within institutions act truthfully, ethically, and within the limits of possibility.
Together they produce a closed epistemic loop — from cognition to computation to civilization
The Books
- Vol. 0 – The History (of Civilizational Differences) (2019)
- Vol. 1 – The Crisis of the Age (2025)
- Vol. 2 – Language as a System of Measurement (2024)
- Vol. 3 – The Science and Logic of Evolutionary Computation (2024)
- Vol. 4 – The Science of Human Behavior (forthcoming 2026)
- Vol. 5– The Law (Constitution) (forthcoming 2027)
- A Short Course on Abrahamism (2017)
- The Cause, Course, and Conduct of Revolution (2024)
Past Companies
Coastland Group
(>Adar International)
Legal Research and Processing. Built the first large scale legal AI, back when doing so was a challenge. Greater Boston Area.
Seminoff
Another legal research and processing firm. Greater Seattle Area
( … )
Excell Data
(> Cambridge Technology Partners > Compucom)
( … ).
Offices in Bellevue WA.
Revenue $100M
(Sold 2001)
Redmond Technology Partners (Redtech)
( … ).
Offices in Bellevue WA.
Revenue $20 Million
(Sold 1997)
Ascentium
(Smith > Avanade)
( … )
Offices in the USA, Canada and Europe
Revenue $100
(Sold 2014)
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Curt Doolittle
A Bio and Archive of My Thoughts
Twenty Twenty-Five
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