Two months ago, I finished up version 1.0 of IronOS. To say that working with AI to build and implement 15 years of thought-out ideas for a training app has been fun would be an understatement.
“Essentially, all models are wrong, but some are useful.”
George E. P. Box
I’ve spent over 200 hours testing IronOS in my own training, using it with clients, and prompting AI to write code and iterate on every pixel in the app.
I’ve been using some variation of training software since my first Polar heart rate monitor in 1999. As I went through college and transitioned into my coaching career, I’ve tried most of the mainstream apps and wearable platforms over the past 20 years.
Most athletes know that consistency is the king of training fundamentals. No AI model or experienced coach is more valuable than not missing workouts.
Read More “Why Imagining the Worst Makes You a Better Cyclist”
Disclosure: I write all my articles without the use of generative AI. I don’t know if that matters to you, but it does to me.
If you’re suffering from TikTok derangement syndrome and can only suffer 15 seconds of this article, let me try to deliver your fix up front.
I’ve had two liver transplants. The first was from a living donor in 2013; the second from a cadaveric donor in 2025. Getting an organ transplant is profoundly humbling—but receiving two? I consider myself one of the luckiest men on earth.
I wrote my first post in 2011. For close to 15 years, I’ve tried to answer all types of training questions—ranging from the effectiveness of beet juice to how to boost your VO₂ max.
I started writing about sports nutrition on the blog about 10 years ago, when research on carbohydrate timing was still relatively new.
When I was 17, a doctor told me I had a rare liver disease and would eventually need a transplant. How does a high school kid make sense of organ transplantation? I don’t think I ever did.
In this Journal Club we’re taking a TLDR approach to examining a new study that looked at the impact of caffeine on your sleep.
