AI: The Service Department Translator

I have been trying to diagnose a recurring Check Engine light on our family vehicle. It’s been a frustrating back and forth with the dealership service center, and what finally got my answer that I needed - it didn’t come from the service center, it was my AI assistant.

The Dealership Runaround #

The first time the light came on, we had the codes scanned and identified. The dealership service center needed to see the code themselves, not just hear what it was. So we continued about our normal days with the vehicle, without harm to driving it and without knowing if it would come back on again or if this would become a major repair.

A couple of months later the light came on again. At the direction from the service center, we took the vehicle in. This time the dealership was supposed to read the codes and set up a service appointment with the data read, and service it from there. The first thing the tech did once they got the car? Attempted to recreate the error. This takes months to happen at times. The service center rep just read verbatim from the repair notes and couldn’t really tell me what the deal was, other than to say we need to capture it when it was happening again. Disappointing.

Sending the Repair Notes to AI #

With how much I’m in the AI world these days, I said to myself - let’s send a note to Harry (my AI assistant built on OpenClaw) and ask him to decipher the repairs. This worked spectacularly, and that’s what this post is all about.

From the image of the repair notes, I asked: what do you know about this vehicle, what are the next steps, and should I be concerned?"

Harry first identified the vehicle, then came the research. He found that this is a common problem, with many owners reporting the same error code. Specifically, it appears to happen after a software update from a recall was applied, and in colder temperatures. Both of which were true for us. And that it does not appear to be a significant issue - but something we’ll get taken care of at some point.

In a few minutes, I had more useful context than the service rep gave me in person.

Summary #

This is a small example, but it captures something I keep running into: AI is genuinely useful for translating technical information into something actionable. The service center had the data. They just couldn’t, or didn’t, explain it. AI filled that gap instantly.

If you’re not using AI for stuff like this yet, just start. Send it a photo, paste in some notes, and ask a question. You might be surprised at what comes back.

-Josh