I Made a Bad Hire
I hired a program manager I liked to lead an operations organization. The fault was mine.
The work, the tools, golf, care at home, facilities, and leadership.
I hired a program manager I liked to lead an operations organization. The fault was mine.
1998, three weeks into a first software job on medical claims: own the mistake in the room.
Katie Raymond, Shannon Kenny, Brandy Asermely, and Sandralee Sanborn lead critical parts of Case. The full piece is on the Case blog.
Korea, 1994, Camp Humphreys: a sergeant gives a private the worst job in the shop, and never says why.
The Recommendation Is Not the Decision
Accelerate the mundane. Elevate the human. Remove the human where the standard already holds.
Decision Velocity
Build is nearly free. The scarce resource is now decision velocity. An operator on why the speed of deciding, not the size of the plan or budget, decides who wins.
Start first. Start small. Start now.
Start first beats waiting for ready. An operator on iteration, messy data, and what four years of building looks like when you begin.
How work actually closes
AI strategy is measured in operating loops, not pilot counts. An operator's framework for Detect, Triage, Act, Validate, Learn, Repeat, and why closed loops beat dashboards.
An operating view on AI
AI-native operating models let more people build at startup speed inside incumbent organizations. An operator's manifesto on continuous improvement, inverted bottlenecks, and human judgment elevated.
I didn't know I had a popliteus until my knee filed a complaint. Then Texas wind asked for power I couldn't pay for—and my driver became a polite suggestion.
Not the internet Karen. Arizona Saturday—chirps, Sabres history, a piped drive into a tree on six, the hero shot in the water, and why scoring is still dirty work.
Ninety minutes before the first golfer arrived, my son was sitting on a tee box at Torrey Pines while I fixed a bug in production. That's the story I expected to tell. It's not the story that matters.
The gap between the range and the course isn't something you think your way across. It's something you earn your way across — with the kind of practice that doesn't feel productive until it does.
Range felt like I had it. First tee said I didn’t. TPC Scottsdale, a breakfast ball, and the part nobody talks about—the searching, not the bad shot.
No context. No introductions beyond first names. No job titles. No history. Just two people and a tee box. Golf is the last playground.
Alzheimer's took almost everything from my Uncle Tom. It couldn't take his swing. And it couldn't take his brothers.
Most of us stopped building somewhere along the way. We started buying instead. Subscribing. Waiting for permission. This weekend I built a compliant, audit-aware business finance system in three hours — and remembered something dangerous.
Golf taps into the part of us that once believed we might be the hero. Every round is a reset. A chance. One more swing before the streetlights come on.
The WM Phoenix Open doesn't reward perfect swings. It rewards swings that can survive noise, adrenaline, and disruption without falling apart. Pressure doesn't create problems—it reveals them. What remains when calm conditions disappear is what you've actually trained.
Understanding a swing change isn’t the same as executing it. Most golfers chase mechanics their bodies can’t support and wonder why it doesn’t stick.
Most golfers blame their swing. The real problem? Desk jobs change your body—and instruction never adjusts. Here's why mobility matters more than mechanics.
Golf improvement is a $2 billion industry built on better tools and better data. After forty years of innovation, the average golfer has improved by roughly one stroke. When the “average” is framed as a 15-handicap, most golfers feel behind — and start chasing quick fixes instead of learning.
Most golfers don’t struggle because they lack effort or instruction — they struggle because their improvement process ignores how learning actually works. Golf improvement isn’t a swing problem. It’s a learning problem.
A year-end reflection on building No Doubles. A grateful look back at the lessons learned, the people who supported us, and the responsibility we feel to build better, more accessible golf instruction.
Golfers are surrounded by tips, gadgets, and quick fixes, yet few improve. This post explains why motor learning, correct repetition, and structure matter more than information.
Google Gemini shows what happened in your swing, but not why. No Doubles focuses on root causes, clarity, and the drills that create real improvement.
We refined scoring, strengthened Snapshot patterns, stabilized Training Plans, and continued tuning the engine. Your swings are helping us build a more accurate and trustworthy golf improvement system.
Why we built No Doubles, how Google Gemini swing analysis validates our approach, and how our AI powered improvement system helps real golfers fix flaws and eliminate doubles.