Quick update on the project 👇 We started with a very simple idea: build an AI-first personal health coach that answers one question every morning: “What is the smartest decision I can make today?” Since then, we’ve added quite a bit: - Daily Morning Check with energy, motivation, fatigue, stress, libido, digestion, etc. - Integration architecture for Apple Health, AthleteData and Hevy - Sleep, HRV, resting HR, readiness and training-load data - Nutrition/macros and daily behaviour data - An AI analysis layer that combines objective data with subjective feedback - Daily recommendations instead of just showing dashboards - Progress and milestone tracking - A simple GO / ADJUST / STOP decision model for training - Early work on detecting relationships and patterns between recovery, training, nutrition and performance - Mobile-first app/PWA that is already functional rather than just a mock-up The next big step is getting all the health data flowing live and letting the AI learn which variables actually matter most for the individual user. Still very MVP, but it’s starting to feel much more like a personal decision engine than a fitness tracker. Would love to hear what you guys would add, remove or approach differently.