AI & TSS for outdoor workouts

Training
1

For my longer endurance rides I prefer to do them outdoors on the gravel bike. I select outdoor routes to target the needed power range for the programmed workout. Due to terrain variations I use the Garmin Edge field “TSS” to make sure I’m staying within the intent and overall training load of the programmed workout. If my TSS get’s close to the programmed TSS, I head home even if the workout is cut short in time. Sometimes in the range 15 minutes short. I understand the outdoor endurance workout may not be exactly executed, but it is close while managing fatigue.

TSS is a byproduct of FTP methodology.

With TR AI using predicted FTP as a proxy metric and not the core to AI watt based model, is monitoring TSS still effective in this use case?

2

I think watts and duration are going to be best here.

Here’s a little snippet from Nate from a TR AI post.

What about my TSS?
If you were at really high progression levels, your TSS was probably pretty high. There would be a down adjustment compared to what you’ll get now.

Frankly, I think we’re moving to a post-TSS world with this AI, but if you’d still like to use it, I would just be aware of the recalibration and know it will be more consistent going forward. But remember, even at the same FTP you’re going to get more TSS if you’re at a higher workout level (in general).

Let me know if this helps!