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Shipping AI

The stack, the scope, and what separates a pilot from a product.

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What Responsible AI Actually Requires Operationally

Responsible AI isn't a principles document. It's a set of operational decisions about who reviews what, when, and what happens when something breaks.4 min read

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How to Scope an AI Project Before You Quote It

AI projects blow their budgets because the scope was never real to begin with. The framing questions you need to ask before a number is ever written down.4 min read

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How to Think About AI Risk Without Paralyzing Your Team

Risk-aversion is real and valid. But there's a version of risk management that enables action instead of blocking it. Here's the framing I use.4 min read

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What I Look for in the First Week of an AI Engagement

The first week of an AI engagement tells you almost everything. Here are the five signals I watch — and what they actually mean.3 min read

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What a Good AI Proof of Concept Looks Like

Most AI POCs prove nothing useful. Here's how to design one that actually tells you whether AI will work in your context.4 min read

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What Good AI Governance Looks Like for a 50-Person Company

Governance sounds like enterprise bloat. It's not. Here's the minimal AI strategy every 50-person company needs before something goes wrong.3 min read

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The Difference Between an AI Feature and an AI Product

Most 'AI products' are just products with a GPT call in the middle. Here's how to tell the difference — and why it changes everything about how you build.4 min read

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What "AI-Native" Actually Means for a Product Team

Most products aren't AI-native — they're normal products with AI features bolted on. Here's the test that tells you which one you're building, and why the distinction matters.5 min read

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When to Build vs. Buy AI (The Framework I Actually Use)

Build/buy decisions in AI aren't like SaaS decisions. The framework most companies use produces bad answers. Here's the one that doesn't.5 min read

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The Stack a Modern AI Strategy Actually Runs On

Not a vendor ad. A real breakdown of the tools, models, and infrastructure patterns that are working right now — and the one thing most companies consistently get wrong.4 min read

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Why Your AI Pilot Failed (and How to Fix It)

AI pilots fail for predictable reasons: wrong metric, wrong team, wrong timeline. Here's the pattern — and how to design one that actually produces something.3 min read

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