AI Endurance & the new Intervals.icu ATP builder

I’ve been thinking about the workflow between AI Endurance and Intervals.icu lately, especially with the recent ATP (Annual Training Plan) builder release.

I’m curious how others are balancing AIE’s adaptive approach with the long-term visualization. Since AI Endurance is inherently non-linear and doesn’t follow a strict mesocycle structure, our synced calendars usually only look about a few days ahead.

I’d love to start a discussion on whether it’s useful (or even feasible) to have some alignment here. Even if AIE doesn’t use rigid blocks, it’s clearly targeting a specific load ramp leading up to our A-races.

Would there be value in having AIE populate the ATP with “placeholder” weekly loads? It wouldn’t need to set specific workouts months in advance, but just seeing a predicted trajectory for our Fitness and Form (TSB) would be massive for season planning.

Do you guys just “trust the process” and look at it one week at a time? I’d love to hear how the rest of you are handling this or if AIE has thoughts on bridging these two philosophies.

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Actually something I’ve been wanting to implement for a while is that you could create week by week / (month by month?) guardrails to the training planner in Advanced settings that could be used optionally:

you could specify how much volume you want in Endurance, Tempo, Threshold, etc for a given time period leading up to the goal event. Then the plan finder would be constraint to work within those.

Although that’s technically counter to our approach to let the model find the optimal path, I understand that for psychological reasons alone you might want to block your training into certain (meso-)cycles.

That’s an interesting approach, though for me, I’d actually worry that setting manual guardrails might force me into a suboptimal path. The main reason I use AIE is to let the model find that optimal path for me.

What I’m really looking for is just visibility. I’d love to see the predicted progression of load/fitness/form over the next few months based on where the model thinks I’m headed. Even if it shifts as the plan adapts, just having that mental map of the trajectory leading up to my race would be nice.

Yes exactly the reason haven’t build that yet.

Understood and totally makes sense, this post: Fitness tracking and curve goes in a similar direction. Will think of something that gets you more visibility while staying true to our approach

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