[ 01 / hub ] information · thermodynamics · effectiveness

Clarity Theory.

A framework for quantifying effectiveness. The success of any transformation scales with the clarity of the system performing it. The book, the papers, and Distinctions: essays on information and what we do with it.

// new essays, papers & book notes. signal only.

02 — the frameworkjointly necessary

Clarity, quantified.

C=R×U×A×Z

RRelevanceHolds the information the task requires.selection entropy

UUnderstandingReads it into the right distinctions.semantic entropy

AAccessRetrieves it within operational bounds.retrieval entropy

ZUtilizationCombines the pieces into action.combination entropy

04 — distinctionsthe substack

The essays, indexed.

Distinctions is about information and what we do with it.

№TitleFieldLen

001The DistinctionWithout at least two states, there is nothing to resolve.Info Theory14m 002Does Consciousness Matter?The functional nature of understanding.Info Theory09m 003Understanding Is Not EnoughThe problem of alignment.Systems11m 004Conflict vs. CooperationAI alignment vs. cooperation.AI11m 005Achieving FitWithout fit, alignment and energy are not enough.Systems12m

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05 — engagementsin person

The talks.

Talks, lectures, and conversations on clarity, information, engineering, AI and effectiveness.

№EventPlaceDate

001Managing in an AI-Native Company: Live PodcastLive podcast with the Prompt Engineers Society — New York, NY.PodcastJun 3 002The Future of Engineering Leadership in the AI EraPanel on how AI is reshaping engineering teams — New York, NY.PanelMay 12

06 — papersformal

The formalism.

A Quantification of Effectiveness

Defines clarity and the framework C = R × U × A × Z.

PREPRINT · 2026

07 — fieldsthe territory

Lines of inquiry.

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Information Theory

◇

Artificial Intelligence

∮

Engineering

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