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.
In this post, we give a short introduction to the running training zones and cycling training zones we use to structure your training. We use 5 training zones defined by pace for running activities and by power for cycling activities. AI Endurance calculates these zones for you individually based on your past training data.
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.
AI has great potential to help us as endurance athletes improve our training. In this post we will discuss how AI endurance training works.
Daily readiness to train is affected by many factors including sleep, illness and training load. Heart rate variability (HRV) readiness to train metrics typically rely on measurements taken immediately upon waking in the morning. We introduce an HRV readiness to train and a durability metric based on DFA alpha 1 (a1) measurements taken during exercise. These new metrics provide additional insights and do not require you to measure HRV upon waking.
