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* 3:00 why does the world need an AI-assisted coaching platform?
* 8:00 how machine learning may be useful in designing optimal training prescriptions
* 10:00 the Athletica outputs
* 11:30 the future human coach assistant functionality
* 12:00 how do you change the plan when things go off plan?
* 17:15 how does Athletica quantify load?
* 23:30 Athletica’s plans for subjective inputs
* 24:45 using past training and associated race results as inputs
* 26:15 optimizing taper
* 30:30 the target demographic: calling all endurance nerds!
* 33:30 the plan for Athletica’s interaction with human coaches
* 38:15 what does Athletica’s output look and feel like?
* 41:45 the 6 - 12 month development roadmap
* 42:45 race time prediction functionality
* 51:45 Paul is a fan of the HRV DFA Alpha 1 AeT analysis
Head to the Athletica website [https://athletica.ai/memberships/] to get your name on the waitlist. You can also follow the team on Instagram [https://www.instagram.com/athletica_ai/]and Twitter [https://twitter.com/Athletica_AI]. And don't forget to check out HIIT Science [https://hiitscience.com/] to get a deeper understanding of the physiological underpinnings for Athletica's algorithms.