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