Who here has fully adopted an AI training platform for long course (70.3-140.6) triathlon training? I see info on Humango (bunch of paid promotion on YouTube with GTN), AI Endurance, Athletica, PKRS.AI, 2Peak, Alta Brio, TriQ… I am probably missing some.
So the simple version of AI seems to adjust a training plan to a missed or changed workout. A training plan makes certain assumptions about how high a training load an athlete can handle in any given day, given week, given mesocycle, and how fast the ramp up in training load can happen. The missing link that a coach can provide over a training plan is to assess how the athlete is absorbing the training, are they recovering fully, are the over training, or could they take on more training, and if so, could that additional load be best added by more intensity in a fixed time period (lifetime constraints for many AGers) or by more duration in a more evenhanded 80/20ish intensity distribution.
What I am getting at here is that a key part of an AI adaptive training solution should factor in recovery in the best, most objective way possible. Sure someone’s own perception of how they feel can play an important role, but more and more we are seeing some real data resources that are attempting to track and measure recovery. Sleep tracking because sleep is the greatest contributor to recovery and the absorption of training. Overnight HRV because that measures the health of the autonomic nervous system. Resting heart rate because an increase here also can indicate overtraining or illlness. it would be great if the AI training platform would surface these inputs on recovery and make recommendations for modifications to the training accordingly. Do any of the current AI platforms do this legitimately?
As well, it would be great if the AI platform could look at the data from a workout and tell me if I am getting faster or fitter than I was 30 and 60 days ago, what I could potentially expect in terms of future improvements before race day based on how I have handled the training so far, how I have improved, and most importantly where I am in the training plan and what lies ahead in training. Can the AI engine bring greater insights to my post workout analysis, not just showing that I went farther, faster, with more power, for longer than in the past, but also there in untapped data around how my body handled the effort, was my HR lower for the same effort, or did my HR recover after each interval faster than in the past (normalizing for the training conditions.)
The AI engine could also generate insights across training years that are specific to you. You say this year you want to podium at 70.3 Indian Wells or Ironman California, the AI engine can look at who finished in the top 3 for the last couple of years, assess your strengths, and tell you if you have a chance and what that plan and what those gains (increase TP and FTP by 20%?) are you’d have to make. How would this year’s plan be different than what you did last year?
I am excited to see what gets developed in AI training for triathletes. Have you had a positive personal experience with any of the current offerings? No sales pitches from the companies here please. Just real world experience from AG athletes that were willing to put their faith in an AI platform 100% to get them to the start in line, and then share if it worked out well or not, and how/why.
So the simple version of AI seems to adjust a training plan to a missed or changed workout. A training plan makes certain assumptions about how high a training load an athlete can handle in any given day, given week, given mesocycle, and how fast the ramp up in training load can happen. The missing link that a coach can provide over a training plan is to assess how the athlete is absorbing the training, are they recovering fully, are the over training, or could they take on more training, and if so, could that additional load be best added by more intensity in a fixed time period (lifetime constraints for many AGers) or by more duration in a more evenhanded 80/20ish intensity distribution.
What I am getting at here is that a key part of an AI adaptive training solution should factor in recovery in the best, most objective way possible. Sure someone’s own perception of how they feel can play an important role, but more and more we are seeing some real data resources that are attempting to track and measure recovery. Sleep tracking because sleep is the greatest contributor to recovery and the absorption of training. Overnight HRV because that measures the health of the autonomic nervous system. Resting heart rate because an increase here also can indicate overtraining or illlness. it would be great if the AI training platform would surface these inputs on recovery and make recommendations for modifications to the training accordingly. Do any of the current AI platforms do this legitimately?
As well, it would be great if the AI platform could look at the data from a workout and tell me if I am getting faster or fitter than I was 30 and 60 days ago, what I could potentially expect in terms of future improvements before race day based on how I have handled the training so far, how I have improved, and most importantly where I am in the training plan and what lies ahead in training. Can the AI engine bring greater insights to my post workout analysis, not just showing that I went farther, faster, with more power, for longer than in the past, but also there in untapped data around how my body handled the effort, was my HR lower for the same effort, or did my HR recover after each interval faster than in the past (normalizing for the training conditions.)
The AI engine could also generate insights across training years that are specific to you. You say this year you want to podium at 70.3 Indian Wells or Ironman California, the AI engine can look at who finished in the top 3 for the last couple of years, assess your strengths, and tell you if you have a chance and what that plan and what those gains (increase TP and FTP by 20%?) are you’d have to make. How would this year’s plan be different than what you did last year?
I am excited to see what gets developed in AI training for triathletes. Have you had a positive personal experience with any of the current offerings? No sales pitches from the companies here please. Just real world experience from AG athletes that were willing to put their faith in an AI platform 100% to get them to the start in line, and then share if it worked out well or not, and how/why.