Blog, Tips, and Challenges

Coaching for runners can help you train smarter and reduce injury risk. Here's what you can expect from coaching, how it can help, what you can do to become a better athlete, and the differences between AI and traditional coaching.

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.

When it comes to triathlon training, nutrition plays a vital role in fueling your performance and optimizing your results. To help you reach peak performance, we have developed an advanced AI meal plan that takes into account your unique requirements, respects the calorie cost of your workouts, and accommodates your dietary preferences. With the power of evidence-based nutrition models, we ensure that your triathlon meal plan is tailored to support your goals.

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.

When it comes to sport and fitness, it’s not all about training hard but it’s about training smart. We are often asked about training plans and if they are worth your money to invest in them. 

We explain how AI Endurance uses ChatGPT to help guide your triathlon, running and cycling training.

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).

The world around us is changing, driven by technological advances that seek to improve our lives.

We show you in a few simple steps how to connect Suunto Guides with your AI Endurance account. You can get live workout instructions that are optimized to you by our AI. You can also easily determine your training zones and thresholds via a simple ramp test that utilizes your heart rate variability (HRV) data.

If you do not want to use Zwift or other virtual platforms, you can simply execute your AI Endurance cycling workouts by letting your Garmin control your smart trainer. For example, let your Garmin Edge 530 or Forerunner 945 control your Wahoo Kickr trainer. All smart trainers supporting the ANT+ FE-C protocol, including Tacx, are supported.

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.

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.

Get your AI Endurance best training plan into TrainingPeaks. From there, you can execute your TrainingPeaks workouts in Zwift, Apple Watch, Wahoo, Polar, Suunto and many other apps. Connect your AI Endurance account once and any changes will automatically be synced with TrainingPeaks.

DFA alpha 1 is a heart rate variability (HRV) metric that allows tracking of the aerobic and anaerobic threshold. We explain the breakthrough potential of this new metric and how you can track your DFA alpha 1 thresholds with the AI Endurance app, Garmin and Zwift.

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.

We compare polarized training, threshold training and AI optimized endurance training. AI optimized training yields the best results, followed by polarized training with threshold training in third. The results are inline with current exercise physiology research. If the training composition is not optimized to the individual athlete, substantially smaller gains are to be expected.

There are different options on the market for optimized AI training plans that are based on applying machine learning to your individual data. In this post, we compare the different options and their features.

While we are getting our app ready for the App Store you can install AI Endurance at full functionality on your iOS device with only a few clicks.

Execute your AI Endurance personalized training plan directly from your Garmin watch or bike computer. No more writing down workouts or remembering interval sets. Get step-by-step instructions as Garmin custom workouts and a Garmin Connect training plan with only a few clicks.

We get it, virtual races are not the same as actual races in terms of staying motivated. That's why AI Endurance is introducing a new maintenance running schedule to keep you in shape during the pandemic.

Stay on top of your goals and support our local businesses and charities at the same time. A virtual cycling challenge that comes as close to a race as possible now that social distancing is crucial in slowing down the spread of COVID-19.

Stay on top of your goals and support our local businesses at the same time. A virtual running challenge that comes as close to a race as possible now that social distancing is crucial in slowing down the spread of COVID-19.

We recap the results of following AI Endurance’s cycling training plan that saw our FTP grow according to AI Endurance’s predictions, following the instructions on how to improve FTP.

In this post, we discuss staying motivated executing your cycling training plan when you’re not training for an event. Also we give an update on our training and give a status report on how AI Endurance’s performance predictions are stacking up against reality.

In this post, we explain how to use AI Endurance’s cycling training plan that we generated for Paris to Ancaster, Canada’s biggest gravel racing event. The plan includes detailed workout instructions. For indoor cycling, we show how to use AI Endurance with Trainerroad and Zwift.

Paris to Ancaster is the biggest gravel grinder bike race in Canada. It’s in 8 weeks and I need to get in shape. AI Endurance can predict race performance and create a training plan which is optimized to my training responses. It predicts that I can increase my FTP by 14% to 293 Watts on race day with just 3.5 hours of training a week.

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.

AI Endurance has a built-in race pace predictor for your running and cycling performance. In this post, we discuss how you can use it to predict your pace for your next running race or your goal power for your next cycling event.

Sometimes it’s hard to stay motivated during the cold months with the next race still so far away. We’ll give you a few winter training tips on how to stay motivated and stay fit until it gets warmer outside.

AI has great potential to help us as endurance athletes improve our training. In this post we will discuss how AI endurance training works.