AI Agents, HRV Readiness & the Next Era of Training: A Deep Dive with Andrea Zignoli & Prof Paul Laursen

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Show Notes

1. AI Agents as the Future of Training Decision-Support

A breakdown of Athletica’s new system of AI agents and how they create structure around large language models. The discussion explores how these agentic workflows read files, analyze training data, and support smarter, human-led coaching decisions.

2. HRV Readiness Through AI-Assisted Interpretation

Insight into how AI stabilizes noisy HRV signals, recognizes meaningful patterns, and translates physiological data into practical readiness guidance — offering coaches clearer, more actionable information.

3. Sentiment as a New Internal Load Signal

An exploration of sentiment analysis as an emerging tool for monitoring internal load. The episode highlights how emotional expression and language patterns can reveal fatigue, stress, and readiness when interpreted through AI.



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Have you ever thought about what tools are best for telling us when to apply HIIT the next time? How do we know when we will handle it again without driving our athlete into overtraining or injury risk? If you’ve read our ​book​ or taken our ​course​, you’ll know about how important this variable will be when we look to design the ideal program. Both heart rate variability and subjective comments were key factors we discussed. But is one better than the other?
Maybe. We’ve stumbled upon an incredible study that might just help clear our thoughts on the matter in terms of athlete readiness and when to apply HIIT again in the future to maximize performance potential. The blog post written by ​Diego Hilgemberg Figueiredo​ compares training plans guided by either HRV or subjective inner feelings. The findings may surprise you. Check out a sneak peak in the graphic below as to why heart rate and HRV can’t always bring us certainty around readiness to perform. They’re good, and helpful, but you must know your context! Combine it with feel to get the most power in your programming.

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