personalized medicine

a unified testing framework for personal wellness — the idea that most health advice is population-average advice that may or may not apply to you specifically, and that the tools to figure out what actually works for you are now cheap enough to build a rigorous personal testing protocol. the structure is essentially n=1 RCTs: pick one variable (sleep timing, caffeine timing, exercise type, supplement), hold everything else as constant as possible, measure outcomes you care about (energy, mood, cognitive performance, sleep quality), and actually analyze the data.

the implementation challenge is that most people's self-tracking is either non-existent or inconsistent. the framework needs to handle both the protocol design (what to test, what to measure, how long to run each arm) and the data capture (lightweight enough to be sustained, specific enough to be useful). wearable data (HRV, sleep stages, activity) provides the objective side; daily self-reports provide the subjective side. the AI layer helps with protocol design ("given your goals and current data, here's what to test next") and analysis (identifying signal in noisy n=1 data).