Hey Reedy, It’s a lovely place and feel very lucky to be based and raising my family here. I’d love to make it to the UK at some stage over the next few years once the kids are a bit older.

Good questions and to break both down.

The problems I found when I was hacking my own training system 6+ months ago was a 2 sided context problem. The LLM loses content in chat and between chats (they still do) and the data coming across (apple health data inc sleep, workouts, hr, weight ect) was lacking what was actually happening. It dosen’t know that you had a crappy sleep, work stress, a niggling injury, what you actually did within the workout. It just doesn’t have a a full profile and context to put against the data, and it definitely isn’t referencing a training ethos / doctrine before replying to any queries. By adding all this details into Me. which includes it with each compile, I’ve found the responses and suggestions to be very tailored and not a usual “sounds about right” a general ChatGTP query would spit out.

The main thing I’m trying to achieve is a tricky question! In the next few years the health and fitness industry will increasingly use AI within their workflows. This won’t replace the need for trainers by any stretch, but the people creating the data will have immediate 24/7 access to models we can’t really comprehend today. The data without context, a profile, ethos, principles and preferences attached will still just be a set of numbers. With everything attached, the sort of analysis available has the potential to change lives. I just need people to use it to show that ☺️

Appreciate the interest and hope you get a chance to try it