Workout Reserve and the Future of AI Coaching
Date:
In Part 2 of this deep-dive on the Training Science Podcast, Paul and I explore why traditional models like W′ fall short, and how Workout Reserve offers a more flexible, mechanical (not physiological) way to understand athlete capability. We also discuss the future of AI coaching—how RAG-AI and Large Language Models are reshaping how athletes and coaches engage with data.
Topics covered:
- Why Workout Reserve works when W′ doesn’t
- How mechanical models sidestep physiological guesswork
- Real-time fatigue, durability, and “limiting tau” explained
- The future of AI coaching: RAG-AI, LLMs, and agents in training platforms
Speakers:
Prof. Paul Laursen https://www.paullaursen.com/
Dr. Andrea Zignoli https://andreazignoli.github.io/