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 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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The 2028 Problem You’re Creating in 2025
Executive Deck ↗Exec summary ↗Listen ↗Your 2025 AI decisions shape your 2028 reality. Learn why waiting for clarity is the riskiest strategy and how to build for capabilities that don’t exist yet.
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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.
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What Got You Here Won’t Keep You Here: A Letter to VPs of Engineering
Executive Deck ↗Exec summary ↗Listen ↗VPs of Engineering: your playbook is obsolete. Here’s how AI changes everything about how you lead, measure, and develop your organization.
Corporate fiction
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