Why AI Fitness Summaries Are Mostly Useless ...Middle East

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This matters not just because I'm a hater, but because users are losing money here. Many of these AI features are locked behind premium subscriptions, creating a sort of artificial scarcity around what is basic data interpretation. Here's why most AI fitness summaries are garbage, and which ones you can maybe trust.

I'm not saying I want these tools to have access to my calendar and lifestyle, but a more useful system would note "your performance declined likely due to the three consecutive days of poor sleep coinciding with your business trip."

Generic advice disguised as personalization

This is the one that makes my eyebrows shoot up to the sky. These systems excel at repackaging your existing data with generic health advice, creating the illusion of personalized coaching while delivering one-size-fits-all platitudes. Strava’s AI is notorious for restating the data from the run description. Take this example from one of my runs earlier this week, where Strava's AI clearly just pulls from what I already wrote about my experience and runs it through a thesaurus. Plus, "varied elevation changes" sounds smart, but what that describes is...well, running on most roads.

This is not true personalization. Credit: Meredith Dietz

True personalization would require understanding your specific goals, training history, injury patterns, and lifestyle constraints—information these systems rarely have access to. Instead, most AI fitness summaries draw from the same pool of conventional fitness wisdom. My colleague Beth Skwarecki shares some fun examples of Garmin's AI being wildly inaccurate in her piece here, and also sent me some more below. Check out the inane platitudes and straight-up inaccuracies.

"Keep up the good work!" Credit: Beth Skwarecki

Overconfidence in incomplete data

Fitness trackers are notoriously inaccurate for many metrics, particularly calories burned, sleep stages, and stress levels. AI summaries compound this problem by presenting conclusions that aren't necessarily true. This week I went on an extremely challenging run in 85% humidity, pushing through foot pain. Imagine my frustration when this was Strava's interpretation of my experience:

This run was anything but relaxed. Credit: Meredith Dietz

How to make the most of AI fitness summaries

As a user in r/Garmin puts it, these "insights" are just "the most basic summary of your workouts possible...I was really hoping that it would be an actual chatbot that you could discuss training with etc to create plans.” On that front, your best bets on the market right now are Whoop and Oura. Their AI-driven insights have been positively received, even if their value proposition is increasingly questionable. Compared to the generic summaries on other apps, these insights operate as chatbots. This way, when you ask specific questions (already using your brain more than merely reading a summary), you'll receive articles that go into more (human-written) detail.

Another app that does a decent job at adding much-needed context is Runna. Its insights actually pull data from weather and your training calendar. Here's another screenshot from Beth, showing how Runna does more than simply restate the data you personally entered.

Pretty useful stuff! Credit: Beth Skwarecki

Ignore the summaries completely. For most users, the smartest approach is to disable AI summaries entirely and focus on raw data. Your training load, sleep duration, and heart rate trends provide perfectly actionable information.

Disable the summaries altogether. In Garmin Connect+ and Strava, you can go to your settings and simply opt out of AI summaries. In Oura and Whoop, you don't get the AI unless you start a conversation with the bot.

The bottom line

If you ask me, your fitness tracker already provides the data you need to make informed decisions about your training and recovery. Learning to interpret that data yourself will serve you better than waiting for AI to do it for you—and it won't cost you an additional monthly subscription fee. The technology exists to create genuinely useful fitness AI, but for the time being, my fitness summaries are just expensive digital noise.

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