From our external review of the adaptive training programs that we have encountered, they all fundamentally appear to work in the same manner. A running coach (or collection of coaches) have devised a simplistic set of rules or stock training plans that their platform follows. These have been devised using anecdotal evidence and common practice. The issue being that these rules are very simplistic, not personalised, and not evidence-based (an issue not limited to online training programs, but rithe throughout the training industry).
TrainAsONE is different. It uses machine learning on the real-world data of all our users to then be in a position to produce a plan that is personal to you and your goals. This additionally allows true adaptation for every run (or missed run) and even account for the weather, multiple races, and greater flexibility of configuration. TrainAsONE plans are great, but we still have much development to do and many exciting features in the pipeline that our competitors cannot truly (if at all) match whilst they continue with their simplistic approach.
All this does mean that our plans can be a little atypical at times, but our users see great results (commonly on less training). From those just starting running, to those competing in (and winning) extreme races.
Our approach was born out of the problem of wishing to know how to train most efficiently and effectively, whilst minimising risk of injury. And then understanding that the majority of the practices underlying training is not evidence based, and commonly not applicable to an individual.
Human physiology is complex, and we all have different needs and desires. Our training cannot be distilled down to a few simple 'golden rules'. TrainAsONE does not, and we believe this is the right approach.