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.
We are big fans of TrainerRoad (TR) and their training plans which we have personally used extensively in the past. TR has announced adaptive training which "uses machine learning and science-based coaching principles to intelligently adjust your training plan, so you get the right workout, every time".
At this point TR is recommending one-off workouts 'TrainNow'. This feature looks similar to Garmin's daily recommended workout. TR is looking to incorporate more machine learning into their app in the future. For more info, see DC Rainmaker's post.
AI Endurance uses cutting edge machine learning technology (we even developed some our own methods) to create personalized AI training plans. The plans are based on your historical data and are predicted to give you the biggest performance gains for the time you have available for training. The AI is guided by best practices established around endurance training. It adapts your training as you progress through a training plan.
You can get cycling plans, running plans and also triathlon plans that take both your running and cycling data into account simultaneously. We predict your performance on your event date for the most common event types from 5k to Ironman.
You can also easily get your AI Endurance workouts into Zwift for both cycling and running. So if you're using Zwift already you can simply execute your personalized workouts there. You can also do your workouts directly from your Garmin device.
We believe that this is just the beginning of using machine learning to help endurance athletes improve. It is a classic problem where no human being can possibly wrap their head around all the possible ways we could structure endurance training and what the possible outcomes would be. AI however - can.
by Grant Paling. Triathlon is a sport that challenges both the body and the mind, and my journey through the European Age Group Championships this year has been a testament to that. In this blog, I reflect on the delicate balance between human grit and the transformative role of AI coaching, exploring how technology can enhance performance while leaving the final push to the athlete.
by Grant Paling. In my last blog, I closed the chapter on my European Championship race in Portugal. It definitely was an intense period leading up to, during and after the race. So many emotions, so much effort invested and then…what’s next?
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 Markus Rummel. DDFA (Dynamical Detrended Fluctuation Analysis) is a new method to analyze the changes in your HRV data during exercise. It is an evolution of the DFA analysis based on the research in [1, 2] used by AI Endurance.
