Apple Watch has been a popular choice in running and triathlon. You can now track and execute your AI Endurance custom running, cycling and swimming workouts on your Apple Watch.
Finding the ideal training regimen to align with your goals and abilities can be challenging. This is where our unique AI technology steps in to address this hurdle. Our custom workouts utilize the wealth of data gathered from your daily activities, heart rate, and previous workouts to create tailored training plans that meet your specific needs. Whether you're a beginner looking to build stamina or an experienced runner training for a marathon, these AI workouts offer a dynamic and intelligent approach to your training.
We have partnered with Watchletic to bring you the AI Endurance experience to your Apple Watch. Via Watchletic you can
Follow these steps to connect your Apple Watch to AI Endurance via Watchletic:
One of the most remarkable aspects of AI Endurance is the ability to learn and evolve alongside your progress. As you continue with these workouts, the AI algorithms become more familiar with your strengths, weaknesses, and preferences. This ongoing learning enables the system to refine and optimize your training plans, delivering a truly personalized and adaptive experience that propels you towards your desired outcomes.
With AI Endurance custom running workouts for Apple Watch, runners of all levels can benefit from optimized training plans that adapt to their progress, conveniently accessible from their wrists. Whether you aim to enhance your running endurance, set new personal records, or prepare for a specific race, our AI-powered workouts on Apple Watch provide the tools and guidance to help you efficiently and effectively achieve your goals. Embrace the power of AI and let your Apple Watch elevate your running experience to new heights.
by Stefano Andriolo. Building on previous work, we refine a method to accurately determine the relationship between DFA alpha 1 and power. This method can be used to track fitness and thresholds of an athlete. We find in some cases ramp detection tends to overestimate thresholds, a finding mirrored in recent physiological papers. On the other hand, thresholds based on clustering of DFA alpha 1 values tend to agree well with this new method. We propose a hybrid lab and everyday workout experiment to further study the relationship.
by Grant Paling. Our increasingly digital society is becoming more and more data driven. And with that, we make decisions. I hear a lot the phrase “if you torture the data long enough it will tell you whatever you want.” I get it but I also think that’s usually the phrase used by someone who doesn’t WANT to believe the data. Because good data is hard to argue with.
Power meters are costly and we often can't afford one on every bike we own. AI Endurance calculates cycling power from activities without a power meter using heart rate, cadence and DFA alpha 1. The results are generally more accurate than speed based estimates such as Strava's estimated power. All you need is a heart rate monitor and ideally a cadence sensor on your bike and AI Endurance will estimate your power for every ride.
Before every workout you should know if you're actually ready for it. Everyone responds differently to stress, bad sleep and exercise fatigue - our new recovery model makes data driven decisions about when you should train and when you shouldn't - based on heart rate variability (HRV).
