
Use Zwift running workouts to increase your running pace with a data-driven, personalized and predictive Zwift running training plan from AI Endurance.
You can now execute your AI Endurance workouts as Zwift running workouts by following these simple steps:
In case you are updating your training plan make sure to delete all AI Endurance .zwo files from your old plan in the workout folder prior to uploading your new workouts. Don't delete the file workouts.files as it is Zwift's way of keeping track which workouts were deleted.
For more information, see how to use custom workouts in Zwift.

That's it, now you can execute your AI Endurance runs as a Zwift running training plan.
See also our Zwift custom cycling workouts.
You can also get a taste of some our workouts under
AI Endurance is based on the observation that an optimal training routine can be very different for each individual. That's why one-size-fits all training plans often don't yield the expected results.
With AI Endurance you get truly personalized, data-driven training based on your accumulated historic GPS and heart rate data. Our machine learning algorithm is like a 'digital twin' that represents how you respond to different training routines. This allows us to
For your optimized, personalized training plan we take into account
You can always make adjustments to your training plan when real life gets in the way.
Sign up today and get your own personalized training plan to reach your goal race pace!

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.

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.

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.

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.