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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 WorkAbout 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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An open box releasing streams of code symbolizing the promise and peril of democratized software development
Vibe CodingAnalysis

Vibe Coding: Democratizing Software -- or Opening Pandora's Box?

Vibe coding promises to democratize software development by letting anyone build apps with AI, but enterprises must navigate real risks to harness it.

3 min readApplied
A comparison chart of AI agent frameworks with interconnected nodes representing enterprise decision criteria
Agentic AIArchitecture

Choosing the Right Agent Framework for Your Enterprise

A strategic guide for selecting AI agent frameworks in 2025, comparing AG2, CrewAI, LangChain, OpenAI Agents SDK and Google ADK for enterprise use.

2 min readApplied
A sprawling network of interconnected tools and APIs illustrating the complexity of unmanaged agent integrations
Agentic AIAnalysis

Tool Explosion and the Hidden Costs of Agentic AI

As agent projects scale, tool explosion creates hidden costs in maintenance, security and agility. A control plane is essential for sustainable agentic AI.

3 min readApplied
A network of specialized AI agents collaborating on complex tasks through coordinated intelligence
Agentic AIArchitecture

Multi-Agent Systems: Scaling Intelligence Through Specialization

Why complex enterprise tasks require multi-agent systems with specialization, coordination, and resilience rather than a single general-purpose AI agent.

2 min readConcept
A centralized control plane connecting multiple AI agents to standardized tool interfaces
Agentic AIArchitecture

From Prompts to Protocols: The Need for a Control Plane

Why enterprise AI needs a control plane and how the Model Context Protocol (MCP) is emerging as the universal standard for agentic tool integration.

3 min readApplied
Four architectural pillars representing the core strategies of context engineering for AI systems
Context EngineeringFramework

The Four Pillars of Context Engineering

Unpack the four core strategies of context engineering -- Writing, Selecting, Compressing, and Isolating -- and how they apply to enterprise AI use cases.

4 min readOperational
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delivered.

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