We can offer you truly personalized training because our AI algorithm can predict your performance from your data. So we can provide you the best possible training results for your time constraints and tell you what performance you're going to achieve if you stick to the plan.
Does your current app tell you by how much their athletes have improved? Or how much you are going to improve? If not it's because it either doesn't work, or they don't know and don't care for a scientific and data-driven approach. We know AI Endurance works because not only have we compared it to the most recent peer-reviewed research in exercise physiology, we have shown how our AI optimized training easily outperforms even the best one-size-fits all approach current research has to offer.
Here are a few possible reasons:
1. Garbage in garbage out - is your data clean, i.e. from a well calibrated GPS device or power meter? If not you can exclude time intervals where bad data was taken under 'Data Exclusions' in the Dashboard. A common culprit are saved runs that are actually bike rides. You can usually identify those via spikes in pace in your 'My Past Data' plot in the Dashboard.
2. For cycling, have you been riding with multiple bikes and not all of them are equipped with a power meter? Sometimes athletes have a power meter for example on their race bike but not on their training bike and as AI Endurance is only using activities with power, the model would be blind for a significant fraction of the actual training. Also if you have/had multiple power meters/smart trainers and those read inconsistently relative to one another that can cause issues. We are working on deriving at least a rough representation of your workload from heart rate for each workout to be included in your model.
3. Similarly, if you are not recording all your runs with a GPS device the model is blind to those activities you are not recording.