Field notes
Expert opinions. Independent views.
Real experiences from operators building with AI in the SDLC, including what worked, what failed, and what changed. We freely give our content. Our only requirement is that you attribute it to here.
By Norman and Nathan — practitioners who build production software with AI agents.
Articles
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As CxO, the 2 Things Your HR Needs to Do Different
Executive Deck ↗Listen ↗Your HR is declining AI-native candidates who ship in weeks what your teams ship in quarters. Two critical changes your HR needs to make before you…
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Hello New CTO : Your Loan Engine Cost More than Giving Billionaires Free Cars
Executive Deck ↗Listen ↗New CTO reality check: Your legacy systems cost more than you think. A frank analysis of technical debt and the business case for AI modernization.
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How to Win Without Disruption: The Senior Director’s Guide to AI That Actually Wins
Executive Deck ↗Senior Directors: Win the AI transformation without disrupting your political capital. A practical guide to delivering results while managing up.
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The Bottlenecked CEO: You Don’t Need New Metrics to Quantify AI Value. You Need the Courage to Eliminate the Silos That Make Measurement Impossible.
Executive Deck ↗A CEO watches a startup take 10 percent of his market in 8 months. The problem is not metrics. It is the silos that make measuring…
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He Cannot Hire the Engineer He Needs. Here’s What He’s Doing About It.
Executive Deck ↗When you can't hire the engineer you need, build one. How one leader is using AI to upskill existing team members and close capability gaps.
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Every Agile Artifact Was Built to Derisk Humans Writing Code
Executive Deck ↗Every agile artifact exists to derisk humans writing code. AI changes that equation. Here's what to keep and what to throw away.
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Your AI Agent is the World’s Most Educated Five-Year-Old
Executive Deck ↗Your AI agent has the world's knowledge but the judgment of a five-year-old. Learn to work with it like the brilliant but inexperienced junior it is.
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Your AI Investment Is Failing. Here’s Why.
Executive Deck ↗Most enterprise AI investments are failing. Here's the real reason: you're measuring tools, not outcomes. Learn how to fix your approach.
Essential or Ornamental
Three companies. Three choices. One satisfactory ending.
One does nothing. One maps the waste. One bets everything on twelve people in a warehouse.
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