3 shop visits and roughly €4,000 later, I’m neither angry nor annoyed — I’m intrigued.
From my own time in field, I learned that beyond the quick fix - when it's "just" a faulty sensor or valve - there can always be a far more complex root cause when multiple factors line up unfavorably.
The mechanics who solve these kinds of issues rely on years of experience. Much of that comes from a genuine satisfaction in the interplay between troubleshooting and failing, right up until the actual breakthrough. You trial-and-error your way to the solution and learn along the way. That process doesn't just build the technical expertise needed to solve complex problems - it instills the necessary mindset and patience.
Looking at how we train our mechanics, and with AI support constantly improving, it makes me wonder: How do we need to adapt our training when part of the learning curve now rests with the AI agent, and part of the sense of achievement has to be shared with this tool too?
How do you preserve the mindset and approach that builds and sustains true field expertise?