Since it tracks you over time, it's sold as a subscription service you pay $20 a month, or $189 if you buy a whole year at once. The more you use it, the more data it can use to fine-tune your training, sort of like a Google Nest thermostat that, over time, finely tunes the temperature of your house by studying your daily use patterns. You have the option to accept the adapted program or stick with the original level of difficulty. Or on a day when riding feels tough, the program will cut you some slack and provide a slightly less intense follow-up workout. If, for example, you crush a VO2 max workout, the program will adapt and spit out a more difficult workout option the next day.
The program analyzes every workout by measuring how easily the rider completes each training zone. The platform achieves this through its machine-learning tool called Adaptive Training, a system that creates goal-based training plans that are updated daily using machine intelligence software that responds to the rider’s unique strengths, weaknesses, and scheduling constraints. But the platform is highly effective at delivering on its singular mission: to make you a faster cyclist. It lacks the candy-hued gamer bling of Zwift, the off-beat humor and array of riding options that come with Systm, and the personal touch of a human coach (which comes with a hefty monthly cost) on Training Peaks. TrainerRoad is a bit of an outlier in the universe of cycling training apps.
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