I actually really like that.
This is super interesting… I am curious about the training leading up to the tour so that no red days were triggered? Did they have any red days (or series of days) during hard training blocks?
Just took 2 days off completely and I’m still not feeling well recovered. Took a look at my recent training history and noticed that I’ve done 11 weeks in a row with average TSS of 390 (I tried a week of just Endurance as a sort of recovery week, but ended up just doing more volume). Probably need a few more days off!
@Nate_Pearson - would RL/GL have caught this and saved me from myself?
I filled out the form you provided, @Nate (TR username: yajs).
Currently, I’m in week two of General Base 3 (mid-volume). Last week, I did a 2-hour and 30-minute Zwift group ride covering 100 kilometers on Saturday. On Friday, I did a productive 1-hour and 30-minute over-under workout. However, I felt quite fatigued on Sunday, and today, I’m still experiencing fatigue. Based on my instinct, I believe today would be a “yellow day.” I feel like I could handle an hour-long ride at the lower end of zone 2 or a recovery ride, but I don’t feel fresh enough to do VO2 intervals.
In addition, I experienced burnout in 2020, 2021, and 2022. I reached a point where I lost interest in cycling because I was pushing myself too hard during long rides and even structured TrainerRoad workouts. This burnout typically occurred in late fall when I started a new training block to improve my fitness after the summer season. However, instead of improvement, I experienced burnout and had to hit the reset button. This involved taking a 2-week break before returning to structured training.
Is this feature “just” the usual
“acute_training_load - cronic_training_load = form”;
IF form < xyz THEN give_red_dot
Or do I do it unjustice?
- Yes… unlikely that simple IMO.
Considering how long ago they announced it and the fact that it’s just now getting to an Early Access stage, I can’t imagine they’d delay for any reason other than they are taking a different path than that single equation.
I linked the moment in the latest video where Nate talked about it (way up this thread). A few highlights, (check the vid for correctness).
- 8 dimensions
- not all tss is the same. (I take this to mean, “< threshold” and “> threshold” have a modicum of independence in the calculation, something like a 3 zone model). But again, if you want it from the mustache, check the vid.
Nate said it wasn’t that in the podcast.
Got it. Thanks all!
TrainerLoad?
TrainerRoad OverLoad?
Or instead of Heartbreaker , how about HeartRater?
Ampel means traffic light in German.
@Nate_Pearson can you take a Look at my history for reference? I just started commuting to work again (30 min each direction) and I’m curious how it affects my training. Should be the perfect example of junk miles: too short, too much stop and go and then usually a little too much power output to keep going with the flow.
Also, I’m interested how RLGL would respond to the endurance rides on Sunday. They are planned indoors 2h, but usually I take it outdoors for 3-4h on hilly terrain with some spikes in power output and a good amount of coasting. No proper Z2-work…
I’d call this tool the train brain.
Check Engine Light
Yes, I want to be able to turn it up! I like that the TR AI program suggests workouts, but sometimes it feel like baby steps even though I’m not only completing, but extending the workouts as well as adding an extra workout to extend the ride.
I’d be curious what it says about mine @Nate_Pearson. I’ve been away from structured training for quite a while, but started up again in November.
Tonight I failed my first workout, Owl +2. Intervals.icu and Elevate both show my “form” as being firmly in the middle of the “optimal training zone”.
I’m on a medium volume plan but have certainly added in additional outside rides, because I felt easily able to at the time
Tonight’s ride should have been threshold, but felt more like vo2 
The classic TSB method of judging over training is just looking at TSS and time, so is going to underestimate your training load if your FTP is set too high.
I wonder how accurate RLGL will be for Paris that have their FTP set too high. For some people ramp test and AIFTP both set their FTP too high.
I know Nate said it’s using more variables than TSS. It will be interesting to see if RLGL can somehow detect overtraining through the other factors (presumably heart rate/power, post-workout surveys, etc), but I assume TSS is still the primary factor, which could lead to not warning the athlete soon enough.
Adaptive Training doesn’t continuously push PLs until failure.
It aims to “make the hard days hard and the easy days easy” in simple terms.
In more complex terms it’s the workout for your current goals/plans that has the greatest statistical chance of success (success is defined differently for different workouts/parts of plans).
Yes, we’re going to build it into plan builder so we can do dynamic volume like I showed on that CEO update video.
Basically show you what volumes you can handle and let the athlete specify how “aggressive” they want to be with their training.
Maybe something like:
- Maintain
- Progress
- Stretch
There’s another level to this that I’ve never talked about. It’s a brand new AI system that will allow us to run Monte Carlo simulations on different training plans/workout combos.
We can then find the most likely combination of volume, workout spacing, and workout choice that leaves you with the highest combination of FTP and PLs that take into account your cycling discipline and goals.
For those unfamiliar of Monte Carlo simulations I’ll give a brief/simple overview for our use case.
It would simulate execution of your training plan over and over (maybe 50,000 times?) and come up with a distribution of fitness outcomes for training plans for you.
Much like how they use it in stock market investing where you get a “most likely” outcome but also a spread of possible outcomes.
We can simulate your training and run AI FTP Detection on the plan and chain it out month over month.
So end result from plan builder would be:
- appropriate volume based on how “aggressive” you want your training to be.
- optimal workout spacing during the week (it’s gets tricky for short workers, fire fighters, er docs, etc.)
- predicted spread of FTP
The really cool part about this is it would predict skipped workouts, failed workouts, and outside rides.
Just don’t tell anyone. 
Well recommend rest in TrainNow on a red day.
RLGL should go into early access this week!!! It won’t have TrainNow support this week but it will before full launch.