Field notes
Practitioner essays on building production software with AI agents.
Operator-grade reports on the systems, decisions, and economics of shipping software with AI — what worked, what failed, and what changed.
Articles
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The Quiet Gift of 2025: Three Models That Changed Everything
Executive Deck ↗Exec summary ↗Listen ↗Three frontier AI models from Anthropic, Google, and OpenAI arrived in December 2025. The gap between engineers using AI to reason through problems and those using it for autocomplete is widening every month.
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The Use Case Is Building Software and the Best Practice Is Today
Executive Deck ↗Exec summary ↗Listen ↗Stop asking about AI use cases. The use case is your entire SDLC. Learn why executives must build with AI tools themselves to lead the transformation.
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If Your Engineers Only Get Thirty Minutes to Learn, That Is Not Their Failure. It Is Yours.
Executive Deck ↗Exec summary ↗Listen ↗You called to talk about AI adoption. But you do not know your value streams, your engineers get thirty minutes a week to learn, and you are still defending manual QA that produces no ROI. That is not an adoption problem. That is a leadership problem you built and now own.
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Congratulations: You Just Reinvented Peter Gibbons from Office Space
Executive Deck ↗Exec summary ↗Listen ↗A 2025 parody exploring how enterprise AI adoption recreated Office Space. Your measurement systems train top performers to do just enough. That is not their failure. It is yours.
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Stop Asking for “Advanced” AI Training
Executive Deck ↗Exec summary ↗Listen ↗Advanced AI training is a status marker, not a learning objective. Discover what you actually need to know based on your role and current skill level.
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If Your Vendor Doesn’t Ask These Three Questions Before the Demo, Politely Ask for a Field CTO Who Will
Executive Deck ↗Exec summary ↗Listen ↗Before your next AI vendor demo, make sure they ask these 3 critical questions. If they don’t, you’re getting a performance, not a partnership.
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If You Want to Measure Macro Results, Answer These 3 Questions Before AI Touches Your SDLC
Executive Deck ↗Exec summary ↗Listen ↗Measure AI impact at the macro level by answering three critical questions before implementation: what you’re solving, how you’ll measure it, and who owns results.
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Dear Jim in Detroit — Don’t Punish Your Top AI Dev
Executive Deck ↗Exec summary ↗Listen ↗An open letter to engineering managers: why punishing your fastest AI adopters creates a lose-lose situation. Here’s what to do instead.
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What Got You Here Won’t Keep You Here: A Letter to Technology Executives
Executive Deck ↗Exec summary ↗Listen ↗Technology executives: the skills that got you here won’t keep you here. A frank letter about adapting your leadership for the AI-native era.
