Personalized Setup
This is how your Health Agent learns you.
Your Health Agent doesn’t just track data.
It observes patterns across your body, habits, sleep, stress, and lifestyle — and adapts over time.
Answer a few quick questions to initialize your Health Agent, so guidance, nudges, and plans are built around you, not averages.
2–3 minutes now. Smarter decisions every day.
What your Health Agent learns from this setup
Foundational Sensing Layer
Your Health Agent first builds a foundational health profile, because health outcomes are shaped by a small number of core signals.
Research consistently shows that sleep duration and quality affect hunger hormones, stress regulation, and weight change, while activity level strongly influences daily energy needs and recovery.
By understanding your body context, activity patterns, sleep signals, stress state, and eating preferences, your Health Agent establishes a baseline that reflects how your body actually works — not population averages.
Including:
🧬 Your body context
Height, weight, age, and gender help your Health Agent understand your metabolism and baseline energy needs.
🏃 Your activity patterns
From sedentary to extremely active — activity level determines calorie targets, recovery needs, and pacing strategies.
😴 Your sleep signals
Sleep duration and quality strongly affect hunger, recovery, mood, and stress regulation.
😌 Your stress & energy state
Your Health Agent adapts nudges based on how you feel — not rigid rules.
🥗 Your eating preferences
Plans only work if they fit real life — not idealized diets.
Behavior & Self-Understanding Layer
Most people don’t fail because they lack information — they fail because change doesn’t fit their habits or daily structure.
Studies on behavior change consistently show that lack of routines, inconsistent schedules, and low habit stability are among the most common reasons health apps stop being used.
By asking about your past app experience and where you feel friction, your Health Agent learns how to support change — not just what outcome you want.
Including:
🧠 Your past experience with other apps
Whether you’ve tried other health apps before — and why they didn’t stick — helps your Health Agent avoid repeating strategies that don’t work for you.
🔍 Where you feel the real friction is
Is it lack of habits, inconsistency, low motivation, or an unpredictable schedule? Your Health Agent adapts based on why things feel hard, not just what your goal is.
🧬 Your self-reported baseline
Your answers form an initial model — a starting hypothesis, not a permanent truth.
Real-World Calibration Layer
Foundational Sensing Layer
Self-reported data is useful — but it’s not always accurate.
Research in behavioral science shows that people often misestimate activity, sleep, and calorie intake, even with the best intentions.
With your permission, syncing Apple Health allows your Health Agent to observe real patterns over time, compare them with your inputs, and continuously recalibrate guidance.
This is how your Health Agent stays adaptive instead of static.
Including:
🍎 Real-world data (with Apple Health sync)
By syncing Apple Health, your Health Agent can observe activity, sleep, and trends — so insights stay closer to reality.
🔄 Ongoing calibration over time
What people say and what actually happens don’t always match — and that’s normal. Your Health Agent continuously compares your inputs with real patterns, then adjusts guidance dynamically.
Closing
This setup initializes your Health Agent — but real personalization comes from learning over time.
It starts with what you say, and improves with what actually happens.
