Yearly steps trend
Here are 3 years of daily steps from Fitbit. Calculate yearly averages, identify the months I dropped most, and overlay any RHR or sleep changes I should care about.
Fitbit captures plenty. AI is how you actually use it without paying for an opaque score.
Fitbit logs steps, sleep stages, HR, HRV, and SpO2. Most analysis sits behind Premium and disappears the moment you cancel.
Fitbit's app is built to upsell. AI lets you read the same data on your own terms, even years after the export.
Get a clear sourced view on what each Fitbit signal really measures and where the wrist-based limits are.
Export your Fitbit archive (Google Takeout). Build a personal multi-year ledger.
Pick one Fitbit signal you can move (steps, sleep duration, RHR) and run a clean 30-day test.
Paste any of these into the AI chat tool you already use. No setup.
Here are 3 years of daily steps from Fitbit. Calculate yearly averages, identify the months I dropped most, and overlay any RHR or sleep changes I should care about.
Across 12 months of Fitbit sleep stage data, have my deep sleep minutes drifted? Show the trend with confidence intervals.
Build me a one-page 'personal Fitbit Premium report' from my export — readiness, sleep score, activity score — and explain how each is calculated so I can defend it.
Use Google Takeout → Fitbit. The course walks through which folders matter.
Yes. Exports remain available, and AI works on whatever you have.
Probably not. Most Premium insights can be reproduced with a good prompt.
Everything we’ve published that touches this topic — refreshed automatically as new entries ship.
What ChatGPT is good and bad at for mental health support — an honest framework.
An honest framework for using ChatGPT for mental health support: what it is genuinely good at, where it is dangerous, and a four-line script to keep a thread safe. Not therapy. Not nothing.
Three free chat tools, three different jobs
Perplexity for research, Gemini for ledger, ChatGPT for protocol. Why we picked these three, what each is uniquely good at, and what to swap if any of them changes.
The research was never proportionally about women. The apps inherited the gap.
Women's health was historically under-researched, and the apps inherited the gap. Here is the four-line daily note, the four-cycle read-back, and the one paragraph that finally moves a GP visit past “cycles vary.”
The 60-year-old mum who got healthy without any of the apps.
For mums fifty and over, the bottleneck is not data — it is the cost of producing it. Four honest lines a week, read by a practitioner, beat any app stack you cannot sustain.
AI for health, without another app
Why the right way to use AI for health is to skip the dedicated app and learn the method instead. The architecture, the limits, and the free way to start.
Skincare on a 12-week clock
Real skin change happens in months, not days. Use AI to keep a 12-week skin ledger of photos, ingredients, and notes — and finally tell signal from feed.
Computer Vision Unlocks Deeper Nutrient Insights
A practitioner refines dietary recommendations by leveraging image analysis to quantify food intake with greater precision.
Enhanced Nutritional Insight for Individual Wellness
An individual leverages automated data flows to refine dietary choices and improve well-being.
Automated Health Data Flow for a Busy Executive
A streamlined system for health data collection and analysis improved decision-making for a demanding schedule.
Activity Trend Recognition for Personalized Energy Management
An individual leverages automated data synthesis and pattern identification to inform daily routine adjustments for sustained energy.
AI as a Mirror: Illuminating the Shape of Daily Habits for Better Sleep
A continuous glucose sensor and a reasoning chat tool revealed a 41-year-old’s specific sleep disruptors.
Bridging the Gap Between Movement and Pain Thresholds
A physiotherapist integrated visual analysis to refine client recovery protocols.
AI for Oura Ring
Export your Oura data and use AI to find the patterns the app doesn't show you. Free method, works with any ring generation.
AI for Whoop
Whoop charges a monthly fee for an opaque score. AI lets you read your own strain and recovery data and decide what's actually working.
AI for Apple Health
Apple Health silently collects years of your data. Use AI to export it, read it, and turn it into one clear page about your body.
AI for Garmin
Garmin Connect collects years of training, HR, sleep, and stress data. Use AI to find patterns the app's badges don't surface.
The free 10-day email challenge teaches the same method on whatever data you already collect. No credit card.