For a while I've been doing what a lot of people have been doing, trying to keep up with AI. Every week there's a new tool or model, a new technique or workflow, and a new take on what everything means. I tested things, read everything I could, tried to apply what I learned. And at some point I realized I was burned out.
Not burned out from spending my off time trying to learn, but burned out from chasing. I kept falling into the same trap: I'd learn a new tool, get excited about what it could do, and then go looking for a problem to use it on. Solutions looking for problems. Most of what I was actually doing was trying to solve problems I already knew AI wasn't the right tool for. Things that were too complex, too expensive to run, or too dependent on getting a deterministic answer. If I already know I'm heading down the wrong path, I'm not really learning anything useful. I'm just burning time.
What actually made sense was flipping it: instead of forcing AI into existing problems, create problems for myself that I know it can handle well. As someone working in product at an early-stage startup, with a very capable but small team, I need to have the highest agency possible. I can't be a bottleneck for my team, my company, or myself. So the real problem I should be tackling is multiplying my own work quality and output. If I can pull that off, I'm not slowly turning into a dinosaur. That's the bar.
So I built this website. A place to write about what I'm working on and thinking about, where people can get to know me and my career beyond a resume or a LinkedIn profile. But it's also the project itself that matters. Designing, building, and maintaining this site is how I'm going to actually test whatever new tool or model shows up, on something real that I own. That's the whole point.
If you're here, thanks for reading. And if any of this resonates, I'd love to hear from you.
