Field notes
Expert opinions. Independent views.
Real experiences from operators building with AI in the SDLC, including what worked, what failed, and what changed.
Articles
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Your Sales CRM Is Now a Tax, Not a Moat
Your revenue team already exports pipeline data out of the CRM to do the real work somewhere else. You are not buying a strategic platform. You…
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If Your CFO Is Picking Your AI Tools, You Do Not Have an AI Strategy
Your CFO should absolutely control the money. Your procurement team should absolutely manage the buying process. But neither of them should be deciding which AI capabilities…
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Dear CISO — Your Job Is Not to Stop AI. Your Job Is to Make It Safe to Ship.
If your answer to AI is "no" until further notice, you are not reducing risk. You are pushing it into the shadows while your competitors learn…
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Everything You Learned About Building Software Is Already Wrong
You read Brooks. You read Fowler. You read The Phoenix Project and highlighted the good parts. Then you built something on Claude Code this weekend and…
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Will You Make It?
You waited on cloud. You waited on DevOps. You pushed out the people who tried to fix it. You still have a manual QA team. Your…
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AI Will Not Save Your Monolith. These Three Things Might.
Every executive wants AI to magically modernize their 10 million line monolith. It won't. Here's what you actually need — and why you've been asking the…
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I Think I Know Where Your High Performers Are
Your heaviest AI users are probably your best people. That's the easy part. The harder question — the one that actually matters — is who still…
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First Principles for AI-Native Engineering Execution (For CxOs)
The first principles behind agent-driven development, distilled from our published body of work into a clear, executive guide for decisions, governance, talent, and operating cadence.
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The Board Memo Version: Four Sessions, Four Decisions, One Operating Plan
A concise board memo for executive teams: the four-session operating model, timeline, decisions, governance, and risk controls to move from AI ambiguity to measurable execution.
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The Executive Operating Model We Run In Private: Four Sessions That Turn AI Anxiety Into Board-Grade Decisions
A detailed, private four-session executive operating model with agendas, timelines, decisions, and risk controls to move from AI confusion to measurable execution.