PART 2: Workout Reserve and the Future of AI Coaching - with Dr Andrea Zignoli & Prof. Paul Laursen

💥 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— #WorkoutReserve #TrainingScience #AIinSports #EnduranceTraining #PerformanceModelling #Durability #SportsScience #AthleticaAI #WPrime #RealTimeTraining #AIcoaching #Cycling #Running_____________________ Today’s speakers:Prof. Paul Laursen https://www.paullaursen.com/  Dr. Andrea Zignoli https://andreazignoli.github.io/ _____________________