Modelling First: Building Smarter Endurance Training

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In Episode 157 of The Training Science Podcast, Paul and I discuss why modeling must come before AI can be useful in coaching and training. We explore how models like Critical Power, Banister TRIMP, and HRV response curves provide the structure AI needs to make smart, adaptable decisions—the foundation of Athletica’s AI-driven training.

Topics covered:

  • Why model-based approaches are more reliable than black-box AI
  • Building with science: CP, TRIMP, MMP, and structured periodization
  • How natural language AI (LLMs) are reshaping coach-athlete data interaction
  • The GPS analogy for understanding model-based AI

Speakers:

Prof. Paul Laursen https://www.paullaursen.com/

Dr. Andrea Zignoli https://andreazignoli.github.io/