top of page
Search

AI as "Personal Trainer"

  • Writer: Andrew Woelflein
    Andrew Woelflein
  • Oct 6, 2025
  • 2 min read

I am running a HALF Marathon on Oct 12. During the training period I had Covid and also had a few minor leg muscle strains that delayed training. With those factors in mind, I prepared a training schedule for the two weeks leading up to the race. THEN I prompted AI with that background information and asked for suggested tweaks to my training schedule.


Here is what I drafted vs. what AI suggested:


Half Marathon Training Schedule (Race Oct 12)

Date

My Plan

Suggested Plan (safer taper)

Mon Sept 29

5 miles

5 miles (easy)

Tue Sept 30

3 miles

3 miles (easy)

Wed Oct 1

7 miles

6–7 miles (easy)

Thu Oct 2

3 miles

3 miles (easy)

Fri Oct 3

9 miles

5–6 miles (easy/moderate)

Sat Oct 4

3 miles

Rest or 2–3 easy miles

Sun Oct 5

11 miles (long run)

7 miles (easy)

Mon Oct 6

Rest

10–11 miles (last long run)

Tue Oct 7

6 miles

5–6 miles (easy pace)

Wed Oct 8

3 miles

3 miles (with 2 × 30 sec strides)

Thu Oct 9

4 miles

Rest or 2–3 easy miles

Fri Oct 10

Rest

Rest

Sat Oct 11

3 miles

2 miles shakeout (very easy)

Sun Oct 12

Race Day (13.1)

Race Day (13.1)

You can see some training runs are very similar and others are different. I ultimately trained using a hybrid of my schedule and the AI schedule.


AI is more relevant and beneficial when a User prompts AI with information that helps it generate more specific tailored results.


AI validated much of what I planned and offered useful changes. It was effectively my personal trainer "Co Pilot". I made the final training decisions but factored in AI's input.


This "reality check" approach works well for many business issues presented (prompted) to AI.

 
 
 

Comments


Flat Rock Associates, LLC - DBA Strategic Wolf 

bottom of page