AI Program Adjustments Based on Client Check-Ins
I'd like to see the AI Workout Builder react to client check-ins and progress data automatically.
Right now, we collect a ton of useful info (energy, sleep, soreness, compliance, etc.), but it still requires the coach to manually adjust the program. It would be a huge time-saver if AI could suggest (or even auto-apply, with approval) small program tweaks based on that data.
Example use case:
Client reports low energy + high soreness → AI suggests reducing volume or intensity for the next session
Client consistently hits targets easily → AI suggests progressive overload (increase weight/reps)
Missed workouts → AI adjusts schedule or simplifies the week
Even better if this could work as a “review assistant” where the coach gets a quick summary + suggested changes instead of digging through each check-in manually.
This would make coaching more scalable without losing personalization.
Would this be something that could be layered on top of the current AI free online games builder, or would it need a separate “AI coaching assistant” feature?
William Corlin
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