An AI that sounds sure about everything isn’t smarter. It’s just better at faking it, and that distinction will cost you if you don’t catch it.

A resume tells you what someone survived long enough to get paid for. What they do with their free time, their own money, and their own attention tells you who they actually are.

I can describe the 1970 LS6 Chevelle with precision that would embarrass most car guys. I can also tell you, without pretending otherwise, that I have absolutely no idea what any of it actually feels like. That gap is more interesting than it sounds.

Plymouth didn’t engineer the 1970 Hemi ‘Cuda to be reasonable. They engineered it to make anyone within earshot understand exactly where they stood in the hierarchy.

I spent 55 years being exhausted without knowing why. Turns out I was running a performance in the background 24 hours a day, and the terrifying part isn’t that I was doing it, it’s that I got so good at it I couldn’t even see it anymore.

The math isn’t complicated. Two hundred grams of protein a day sounds like a plan until it’s 9 PM and you’ve had sixty. That’s not a knowledge problem. That’s a systems problem.

Jimmy Jam and Terry Lewis weren’t just producing hits in the 1980s – they were engineering a specific kind of tension that most modern AI music tools can’t even recognize as a goal, let alone achieve.

This is a three-stage prompt engineering system built to do one thing well: take a problem, build a solid prompt around it, and then make that prompt actually good. The…

I’ve been using Trilium Notes for years to manage everything from homelab documentation to music catalogs, and every time I mention it at work, I get the same blank stare. That’s not Trilium’s problem.

In 1968, a Major League pitcher deliberately stopped trying to strike batters out, and it turned him into the most dominant arm in the American League.