Honestly I donât think the product even makes sense if itâs limited to only TR rides. I mean, I do a breakthrough effort on a local hill climb, or TT route, or ZRL race, but I have to come back and do that same effort on Carpathian Peak +2 or it doesnât count? No way.
They know that, and thatâs why Nate stated it as a high priority for them to finish and include. Sounds like they have a foundation and a bit more work to finish it.
This is all still beta stage, and not all features or functions are in place yet.
ETA: Mentions of unstructured, outside rides are around 1:20 and 1:57 in the cast.
First step is to pull in the sleep data and see if it changes the likelihood of you finishing a workout. If that happens, we can adjust the workout/plan to have a better outcome.
I am looking forward to trying the adaptive training when it comes out.
One question that I have is how will the AI system assess how well I performed on a workout?
Will it simply be binary; based on whether I completed vs failed a particular workout/interval?
Will it look at HR data for particular workout/interval and compare it to HR on previous workouts/power numbers? (Which is how I currently look for small improvements by comparing max/average HR for a workout I have done multiple times).
I have been using Trainer road for 6 years. Will the AI be able to retrospectively look at personal data from previous years?
1 - Easy
2 - Moderate
3 - Hard
4 - Very Hard
5 - All Out
You donât need to know what a workout should âfeelâ like. This is just how it felt for you. You might have an aerobic ride feel very hard because youâre thrashed, or you might have a vo2 ride feel moderate because youâre more fit than that level.
The idea is to not have anyone know what a ride should feel like relative to the workout. They just say on 1-5 how hard it was.
That would be great. I have been manually noting my Whoop recovery and strain alongside each TR workout for the last 18 months, so would be fantastic if TR could simply suck it all up automatically and use it to adjust plan, particularly in relation to fatigue/recovery.
I really really wish there was an option to add an endurance chunk at the end of workouts and not just a cooldown. Right now I have to finish a cooldown and then load up an endurance workout which usually has a small ramp. Kind of defeats the purpose a bit.
Garminâs sleep tracking is WHACK. I have a garmin watch and itâs good for HR and GPS but not sleep. Itâs a known issue. Theyâd be better off not even having sleep as a feature.
This may have been asked but will the ML adjust for time of day for the workout? For instance sometimes I do an âeasyâ morning workout just to wake up and get moving, like dans or petit, but because its in the morning and I typically train in the afternoon my R.P.E in the morning is almost always âmoderateâ or in super rare occasions âHardâ. Sometimes I have even turned the intensity down on lazy mountain in the morning but I sort of view these rides as separate from my training. Would the best way to make sure these donât negatively effect future rides would be to just not accept the plan adaptions after these rides? Or will the ML learn to turn down my intensity in the morning but not in the afternoon or evening?
I donât think weâll need that much fine grain control. I could be wrong though.
But I want to stress this so hardâŚitâs not just âoneâ thing anymore. Itâs hundreds of things and we might never understand the true relationship between everything.
And as we get more sophisticated and have access to more data we hope to make everything more accurate.
That would be sweet. We could do the first round thatâs usually for bankers but make it just for TR users. And the more workouts you have in TR the more you could buy.
No plans for investment or IPO at this time though.
Iâve got a pretty big timeline goal in my head and I donât want the external pressure to cut corners and get quarterly results.
Yes, we understand the difference between a pause during a 5 min rest interval to go to the bathroom and a pause in the middle of a 10 minute over-under set to make it easier.
This is one of the many reasons we used ML and not just do interval averages.
We had to classify thousands of rides that had different pause amounts to order for it to learn.