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The unbearable obviousness of AI fitness summaries

The insights are more repackaging data you already know with common sense advice than deductive analysis.

After nearly a decade of wearables testing, I've amassed a truly terrifying amount of health and fitness data. And while I enjoy poring over my daily data, there's one part I've come to loathe: AI summaries.

Over the last two years, a deluge of AI-generated summaries has been sprinkled into every fitness, wellness, and wearable app. Strava introduced a feature called Athlete Intelligence, pitched as AI taking your raw workout data and relaying it to you in "plain English." Whoop has Whoop Coach, an AI chatbot that gives you a "Daily Outlook" report summarizing the weather, your recent activity and recovery metrics, and workout suggestions. Oura added Oura Advisor, another chatbot that summarizes data and pulls out long-term trends. Even my bed greets me with summaries every morning of how its AI helped keep me asleep every night.

Each platform's AI has its nuances, but the typical morning summary goes a bit like this:

Good morning! You slept 7 hours last night with a resting heart rate of 60 bpm. That's in line with your weekly average, but your slightly elevated heart rate suggests you may not be fully recovered. If you feel tired, try going to bed earlier tonight. Health is …

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