Using algorithms to analyze and dictate your workouts is nothing new in the world of fitness apps. While my regular Fitbod workouts have been compiling all sorts of fun (and punishing) workouts for me for years, I’ve only ever leant on (one of our ) for its social media-style Kudos system and the occasional breakdown of ‘medals’ along my semi-regular 5K routes. The also use algorithms to create recommended workouts based on your current and historic training volumes.
However, Strava’s gone one step further and users of its Premium service will soon be able to use AI as we know it, a Language Learning Model like , to provide training advice to its massive userbase. Still, with Strava rolling out a whole host of features such as Dark Mode, Night Heatmap (which shows users safer routes to run or cycle at night) and other new tools as part of its annual Camp Strava update, I decided to check out the beta version of its AI integration –cleverly dubbed Athlete Intelligence – to see if it could help my training going forward. As it happens, it’s impressive even at this early stage – if not essential to the Strava experience.
Running with the machine I’m a fairly infrequent runner, and so I only use Strava’s basic plan, which is more than enough for me. Still, the developer was kind enough to give me access to the Athlete Intelligence beta, which will roll out for more users soon. When describing the feature, Strava states it’s a feature that “turns subscriber.
