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.
