In this post, we explain how to use AI Endurance’s cycling training plan that we generated for Paris to Ancaster, Canada’s biggest gravel racing event. The plan includes detailed workout instructions. For indoor cycling, we show how to use AI Endurance with Trainerroad and Zwift.
My personalized training plan is optimized to maximally increase my performance over the next weeks leading up to the Paris to Ancaster gravel race (read more about the race here). Based on my previous training data, AI Endurance found this plan to be optimal for the 3-3.5 hours/week I have available to train right now.
On the weekends, I will be doing an easy Endurance ride while during the week I have 2-3 interval workouts scheduled. The combination of these intervals and how they are spread out is customized. A different athlete might benefit from more VO2Max and less Anaerobic workouts or might require less rest. The power of AI Endurance is that it figures this out for you based on what has or hasn’t worked for you in the past.
AI Endurance’s workouts are classified by the training zones that they primarily focus on: Endurance, Tempo, Threshold, VO2Max, Anaerobic (for an explanation of these zones read here).
For example, a Tempo workout that is part of my plan looks like this:
For me, right now the Tempo zone is between 208 - 240 Watts. AI Endurance automatically adapts these zones for each individual athlete.
If you are training outside, simply follow the workout instructions in AI Endurance’s calendar. If you need a few more minutes between intervals or for cool down and warm up, feel free to take it. Just make sure that you hit the intervals for the proposed duration and Wattage (but don’t go too hard).
If you live in a place where it’s hard to ride outside in the winter (like Canada) or simply prefer to ride indoors, here’s how to combine indoor cycling with AI Endurance.
I’m a big fan of Trainerroad and have been using it for the past 3 years during the winter. They have a great workout library and can control your smart trainer for you, so all you have to do is hit the pedals (and suffer). Also check out their podcast, for a wealth of training tips and great cycling stories.
I’ve used Trainerroad for the first 3 workouts of my plan so far. Their workout library is so extensive, you’ll find a workout that matches AI Endurance’s pretty closely. Here’s a few:
For Zwift , if you’re doing a “free ride” simply do your workouts as you would in the real world. In workout mode, you can either create your workouts according to AI Endurance’s workout instructions or find similar workouts in their library. Here’s a few:
To get an estimate for what race pace you can achieve all you have to do is sign up to AI Endurance. We will ask you what your goals are and how much time you have available to train, and connect with your Strava. Then we can train our algorithm on your individual data and find the plan that forecasts the highest gains for you.
Thanks for reading!
DFA (detrended fluctuation analysis) alpha 1 is an HRV (heart rate variability) based aerobic and anaerobic threshold estimation method. It only requires a heart rate monitor that tracks HRV data. It has the potential to track your thresholds automatically without dedicated test workouts.
by Grant Paling. So you’ve read about my race. If you stuck with it, I know the report was quite epic (and that was the edited version!) so if you read it all, thank you! Having told you what happened in the race, I wanted to share a bit about how I used AI Endurance to prepare my race strategy.
AI Endurance has a built-in race pace predictor for your running and cycling performance. In this post, we discuss how you can use it to predict your pace for your next running race or your goal power for your next cycling event.
Use Zwift custom workouts to grow your FTP with a data-driven, personalized Zwift custom training plan from AI Endurance.
