92 - Paul Laursen and Athletica

What this episode covers

Endurance Innovation is now on Patreon [https://www.patreon.com/enduranceinnovation]! Have a peek at our page and show us some love. * 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.