The main point is that many of us want to do a structured workout, but frankly can’t decide which one to choose. This feature is entirely targeted at those that use TrainerRoad but without a specific TrainerRoad plan, of which, TrainerRoad says there are more users than you might realize (though, it does work if you do have a plan loaded and just prefer to ignore the plan). While this might sound basic, the reality is that with far fewer people having a set goal for training or racing in 2020/2021, doing ad-hoc workouts has become more and more common for what are otherwise highly structured athletes. So in effect, it’s your first window into TrainerRoad’s bigger changes. TrainNow is using the underpinnings of Adaptive Training machine learning to generate those workout recommendations. What is on your desktop as of today is their new TrainNow feature, which will give you one-off workout recommendations in three training categories, based on your past workout history, along with the option to choose the duration of the workout. However, while that was announced today, it won’t arrive on most people’s desktops for some time. A workout is scored as you complete it, and then the rest of your scheduled workouts change accordingly to adapt accordingly. This means they’re starting to use machine learning algorithms to change workouts based on your progress towards a given goal. Today TrainerRoad announced sweeping changes to the platform, which they’ve dubbed Adaptive Training.
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