Wrap-up and future outlook

💥 Dr. Andrea Zignoli wants you to understand that Workout Reserve is not just another performance metric—it’s a breakthrough in how we track and interpret what athletes can actually do in real time.

In Part 2 of this deep-dive on the Training Science Podcast, Andrea and Paul explore why traditional models like W′ fall short, and how Workout Reserve offers a more flexible, mechanical (not physiological) way to understand athlete capability. Plus, they tackle the future of AI coaching—how RAG-AI and Large Language Models are reshaping how athletes and coaches engage with data.

📊 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

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 #WorkoutReserve #TrainingScience #AIinSports #EnduranceTraining #PerformanceModelling #Durability #SportsScience #AthleticaAI #WPrime #RealTimeTraining #AIcoaching #Cycling #Running

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Today’s speakers:

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

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

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