In design · AGENT

AI Agents for Personal Health

Turn fragmented wearable data into a continuous monitoring system

Your wearables already collect the data. Now build the system that reads it.

Health data is abundant but fragmented. You wear an Oura Ring, track workouts in TrainingPeaks, log meals in Cronometer, yet nothing connects these streams. This book introduces the AGENT framework, a five-phase architecture for assembling health data, correlating it, and alerting you on meaningful changes. The same agentic thinking you apply at work, turned on your own biology. Not medical advice. Data architecture.

• The AGENT framework: a five-phase architecture for assembling, correlating, and alerting on health data
• Connect fragmented streams from Oura, TrainingPeaks, Cronometer, and AutoSleep into one coherent system
• Agent design patterns: the daily briefing, the anomaly detector, the experiment tracker
• A privacy-first approach: run agents locally, with GDPR and data-sovereignty built in
• A clear scope boundary: data architecture for health, never medical advice or diagnosis