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.
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.
DFA (detrended fluctuation analysis) alpha 1 is an HRV (heart rate variability) based aerobic and anaerobic threshold estimation method. It only requires a heart rate monitor that tracks HRV data. It has the potential to track your thresholds automatically without dedicated test workouts.
When it comes to excelling in endurance sports such as triathlon, running or cycling proper nutrition plays a crucial role in maximizing your performance and achieving your goals. Whether you're swimming, cycling, or running, your body requires optimal fuel to meet the energy demands of these activities. In this blog post, we'll explore the importance of nutrition in triathlon, running, and cycling, followed by an introduction to the new feature of AI Endurance which provides recommendations for daily and activity specific nutrition requirements individualized for each athlete.
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.
