The Operating System for the AI Era

Governance. Context.
Control.

A body of work on how leaders build, govern, and orchestrate intelligent systems — from context engineering to agentic architectures to the transformation operating model.

Explore the Work About the Book

The AI Executive's Handbook: Harnessing the Ungoverned Machine by Misha Sulpovar

The Discipline

The Framework

Four interconnected domains that define how organizations navigate the AI era. Each is a body of research, not just a topic.

Wired Cognition OS

AI Strategy

Product, organization, and transformation in the AI era.

Agentic Surface

Multi-agent architectures, control planes, and orchestration.

Knowledge Architecture

Writing, selecting, compressing, and isolating context at scale.

AI Governance

Frameworks, compliance, ethics, and the EU AI Act.

Latest Research

Recent Work

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A ContextNest vault distributing governed context to isolated agent roles versus dumping everything into one shared context

Context EngineeringAnalysis

What Coding Agents Ship When You Govern Their Context

I gave the same coding model the same vague request three ways, changing only which context each step was allowed to see. On a real app, the difference was the gap between a demo that renders and software that works.

Aug 19, 20267 min readApplied

Also Recent

Context Governance, Now With a Paper

ContextNest is now a peer-reviewable spec. Our new arXiv paper formalizes context governance — the layer beneath retrieval that decides what's approved, current, and verifiable — and backs it with two controlled experiments.

Jul 3, 20262 min readOperational

Clinical AI moving from retrieval-only tools toward governed, frontier-model reasoning

Context EngineeringAnalysis

Healthcare Is Quietly Moving Past RAG

Specialized medical AI tools like OpenEvidence were supposed to beat general models by retrieving over peer-reviewed literature. In 2026 benchmarks, general frontier models are catching and passing them. The lesson isn't that RAG is dead — it's that retrieval was never the moat.

Jun 24, 20263 min readApplied

Organizational knowledge as connective tissue between people and an AI system — the missing context layer

AI StrategyAnalysis

Organizational Context Is Still the Bottleneck

Everyone is shipping agents. Almost no one is fixing the context they run on. A year into the pilot bonanza, the organizational context gap is exactly where it was — and it's why teams still feel behind.

May 9, 20263 min readApplied

An athlete in racing kit standing on a track beside officials in coats and high-visibility vests — the operator and the stewards, side by side

AI StrategyFramework

Athletes and Stewards

Most companies are arguing about whether to hire AI people or upskill domain people. There are two roles. And the second one — what most still call the domain expert — has quietly become a steward of the context the AI is actually reading from.

Apr 22, 20268 min readApplied

A figure standing on stacked, terraced platforms — layered structures rising into mist, illustrating abstraction layers in modern systems

PerspectiveField Note

If You're Abstracting Correctly, You Don't Feel Lost

The disorientation people feel right now isn't about pace. It's about being on the wrong layer for the problem — and forgetting that the wisdom for the right layer is older than most of us.

Apr 20, 20267 min readConcept

Four merged faces forming a single composite portrait, representing the four quotients — IQ, EQ, AQ, and CQ

AI StrategyFramework

The Four Quotients: Why IQ and EQ Aren't Enough Anymore

We grew up optimizing for IQ. Then EQ became the differentiator. The leaders who actually navigate the AI era are running on two more — AQ (adaptability) and CQ (curiosity).

Apr 12, 20267 min readConcept

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Executive AI intelligence,
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Governance frameworks, agentic architecture patterns, and strategic implementation insights. For leaders building the AI era.

Governance. Context. Control.