IA para analizar 4 meses de entrenamiento en trialtón y decirte qué hacer

Can artificial intelligence understand your training better than you do? Today I'll show you with a real-world example. In this video, I analyze four months of training for one of my triathletes using FORMA, my AI platform for training. We see how he has progressed in controlled pace (7 km at 4:50), what the aerobic efficiency and heart rate drift data reveals, and what the AI ​​recommends next based on my own methodology. This isn't a generic chatbot. FORMA works with my three-zone model, using TRIMP as a load indicator, and with specific physiological criteria: whether the heart rate drift is clear, whether the physiological cost decreases at the same rate, and whether the athlete is ready to progress. The AI ​​doesn't improvise. It applies exactly what I've taught it. What you'll see in this video: — Real analysis of 4 controlled-pace sessions over 3 months — Evolution of aerobic efficiency and heart rate drift session by session — ​​Why we don't increase the pace even when the athlete improves — How FORMA decides whether to progress in volume or intensity — The physiological criteria I use to make that decision FORMA is available only to the athletes I coach directly. More info on the blog: https://formalabs.es/es/blog Follow us: https://formalabs.es Instagram: /forma.labs4 https://www.facebook.com/profile.php?... Chapters: 00:00 Introduction to the Forma Tool 02:33 Using Artificial Intelligence in Training 05:14 Case Study: Triathlete 08:08 Strategies for Improving Aerobic Efficiency 11:00 Training Methodology and Decision-Making 11:27 Conclusions and Closing Remarks on the Forma Tool Song: Kronus - Damaged Music provided by NoCopyrightSounds