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Articles & Deep Dives

The complete archive of our thoughts, essays, and rigorous analysis. Discover in-depth research on enterprise engineering, artificial intelligence, and digital strategy.

The Team You Actually Need to Build AI (It's Not Who You Think)
operationsRecently Published

The Team You Actually Need to Build AI (It's Not Who You Think)

Teams staff AI as if ML talent is the scarce ingredient. The Capability Triangle — product, engineering, domain — shows the missing vertex is usually domain.

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Build, Buy, or Neither: Where Your AI Advantage Actually Lives
strategyRecently Published

Build, Buy, or Neither: Where Your AI Advantage Actually Lives

The build-vs-buy AI question is wrong: you needn't own a layer to benefit. The Advantage Map decides build, buy, or neither — by edge and by what is core.

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Capability Is Becoming Free. Judgment Is Becoming Everything.
strategyRecently Published

Capability Is Becoming Free. Judgment Is Becoming Everything.

AI capability is commoditizing fast. The durable advantage is judgment: where to apply it, what to refuse, how to earn trust, what to fund. The AI-native stack.

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The AI Business Case That Survives a CFO: Total Cost of Ownership, Not Build Cost
strategyRecently Published

The AI Business Case That Survives a CFO: Total Cost of Ownership, Not Build Cost

Most AI business cases model only build cost and fail within a year. The Three Cost Curves — build, run, switch — model and defend an AI investment to a CFO.

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The Real AI Moat Isn't Your Model. It's Your Data Exhaust.
dataRecently Published

The Real AI Moat Isn't Your Model. It's Your Data Exhaust.

AI models are commoditizing. Durable advantage lives in data exhaust: interaction data, expert corrections, evaluation sets, workflow logic. The real AI moat.

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Governance That Ships: AI Guardrails That Speed You Up, Not Slow You Down
operationsRecently Published

Governance That Ships: AI Guardrails That Speed You Up, Not Slow You Down

Most AI governance is a gate teams route around. The Guardrail Stack makes the safe path the easy path — policy, defaults, paved roads, tiered review, audit.

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Evals Are the Product: The Test Suite That Decides Whether Your AI Survives
engineeringRecently Published

Evals Are the Product: The Test Suite That Decides Whether Your AI Survives

In AI the eval suite is the product — the only thing telling you whether a change helped or hurt. The Evaluation Pyramid: unit, capability, behavior, outcome.

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Context Is the Constraint: Why What You Feed the Model Matters More Than the Model
dataRecently Published

Context Is the Constraint: Why What You Feed the Model Matters More Than the Model

A capable model with poor context is a confident liar. The Context Hierarchy shows why context engineering beats model selection for AI output quality.

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When the Model Is Wrong: Designing AI for the Failure You Know Is Coming
designRecently Published

When the Model Is Wrong: Designing AI for the Failure You Know Is Coming

A probabilistic system will be wrong in production. The Failure Ladder — prevent, detect, contain, recover, learn — designs the response, not just detection.

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