Built by a trainer,
for every trainer.
MILO came out of a real problem — too many clients, not enough hours, and an uncompromising standard for what good programming looks like.
“In 6th century Greece, a wrestler named Milo of Croton carried a newborn calf every day. As the calf grew, so did Milo — until he could carry a full-grown bull. Six Olympic titles later, he’d accidentally invented progressive overload.”
— The principle behind every program MILO builds
It started the way a lot of things do — out of necessity. New baby. Growing client roster. Shrinking hours. I’d been experimenting with AI as what felt like an enhanced search engine, pulling detailed information faster than I could Google it. But I kept wondering if there was more to it.
So I ran an experiment: could AI help me build the kind of programs my clients actually deserved — individualized, goal-specific, periodized, evidence-based — without me spending four hours per client to do it? As a data nerd and a perfectionist, “good enough” wasn’t on the table.
“If I built every client a periodized, year-long program, I could give myself some breathing room.”
The more I refined the process, the more I realized it wasn’t just working for me — the methodology was replicable. The logic that made a program perfect for one client could be applied to any client, by any trainer. That’s when the question changed from “how do I solve my problem” to “how do I solve this for everyone?”
MILO is what that realization became. A thousand-plus hours of development later, it’s a full programming intelligence layer — built to give every trainer the kind of leverage that used to require an entire support staff.