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.
If you do not care too much for the entertainment that virtual cycling environments such as Zwift offer and simply want to get your indoor workouts done in a productive way, this is for you. And you get to save the Zwift subscription fee as well.
Here's how you do it:
Here's a video of how to set this up for the Garmin Edge 520:
AI Endurance is a training platform that optimizes and predicts your cycling performance. You tell us how much time you have to train and we find the optimal training composition based on your training data.
To get more information on how to control your smart trainer with your Garmin device please see:
Export your AI Endurance workouts to your Garmin Connect today and connect your Garmin device with your smart trainer. This is all you need to execute your personalized training plan and grow your FTP.
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.
Get your AI Endurance best training plan into TrainingPeaks. From there, you can execute your TrainingPeaks workouts in Zwift and many other apps. Connect your AI Endurance account once and any changes will automatically be synced with TrainingPeaks.
The world around us is changing, driven by technological advances that seek to improve our lives.
by Grant Paling. I’m back. It’s been a few weeks and ultimately, a lot of time to process what happened. If you’ve been following my European Age Group Championship adventures, you will know that the triathlon went well. Very well. But let me give you a deeper insight into the race, the mentality I took into it and then in following blogs I’ll reflect on how that performance was achieved using AI Endurance.
