Use AI to transform technical diagnostic codes and sensor data into plain-language customer explanations instantly.

When you pull diagnostic trouble codes or review sensor readings, explaining what they actually mean to customers can take forever—especially when you're trying to avoid both confusing jargon and oversimplifying the issue. Instead of writing out explanations from scratch every time, feed the raw diagnostic info into AI and let it translate the technical details into clear, relatable language your customer will understand. This works for everything from OBD-II codes to unusual sensor patterns to dashboard warning lights. The key is giving AI both the technical details and context about what you found during your inspection. Don't just paste a code—tell it what the code is, what system it affects, and what you observed (like rough idle, odd noises, or visible wear). AI will then craft an explanation that connects the dots between the code, the symptom, and why it matters. You can even ask it to provide a version that includes what happens if they ignore it, which helps customers understand urgency without feeling pressured. This approach saves you from rewriting the same explanations over and over, ensures consistency across your customer communications, and frees you up to focus on the actual repair work instead of playing translator. You can use the output in emails, text messages, printed estimates, or even as a script for phone calls.

March 23, 2026