For those still relying on the traditional method of Zwift interval training which primarily focus on a combination of fixed-interval workouts and default Zwift-designed training plans, are there any viable alternatives and more effective ways to create customized interval workouts that incorporate bigger data sets, including physiological stress measurements such as Training Peaks Chronic Training Load and Acute Training Load, or even HRV data to adapt interval training to an athletes true physiological response?
Why do we not incorporate more dynamic systems and AI-powered workouts to automatically generate personalized workout plans and adapt interval training to real physiologic changes, such as allowing for self-modified intervals that adjust based on biometric markers and immediate fatigue levels?
How can we make the most out of our interval training by maximizing the time spent at a high intensity, minimizing the recovery time while still maintaining optimal levels of restoration and ensuring the workouts are targeted to our specific performance goals?
Can someone provide concrete examples of how they manage interval training with differing types of workouts to cater to the varying forms of physiological stress such as muscle recovery time, aerobic and anaerobic capacities, with emphasis placed on optimizing a limited time for training?
Should more attention be given to adjusting and fine-tuning the variables of interval training to mirror the physical and physiological changes during varying times of the year rather than sticking to an overly rigid plan where our body undergoes the lateral and vertical adaptation of increasing intensities and varying volume, as seen in periodized period training block.