DIAGLO™
The future of High-Performance AI Vehicle Intelligence
13 followers
The future of High-Performance AI Vehicle Intelligence
13 followers
DIAGLO is an AI-powered vehicle diagnostic engine built and refined through extensive testing on real-world diagnostic cases. DIAGLO analyzes user observed symptoms of any vehicle behavior to produce a structured, engineering-style diagnostic report. The feature that makes it unique is how technically accurate and precise it is. It helps identify the most probable failure mechanisms behind complex vehicle issues, explaining the physics behind the problems, why it happened and what to do next.
I’m the builder behind DIAGLO.
I started working on this after working in automotive engineering 15 years and after watching AI field improved in the world exponentially every week. I truly believe in the future of AI, not scared of replacing humans, but integrating them as the human in the loop, so i used my knowledge about vehicles to validate how the system guides the model through a constrained, multi-step analytical process that prioritizes causal reasoning, mechanical relationships, and failure probability rather than surface level pattern matching or keyword-based search.
DIAGLO was built and refined by testing it against many real-world diagnostic cases and iterating until the conclusions matched confirmed repairs and known failure mechanisms. The goal wasn’t to automate repairs, but to replicate structured engineering reasoning and narrow down the most likely root causes.
Love to hear your feedback!
Hello! How can you make a difference between a faulty diagnosys “created” by the AI and actual use case that may be linked to someone’s real problem of the car?
Being honest for a moment 🙂
I’ve spent many years diagnosing cars in the real world, and one thing I kept seeing was how confusing and inconsistent explanations can be — even from professionals.
That’s what pushed me to build Diaglo.
I’m genuinely curious:
If you were a car owner or mechanic, what would make you trust an AI diagnostic explanation?
Transparency? Visuals? Sources? Human-in-the-loop?
I’d really appreciate your perspective.
Do you see this replacing mechanics eventually?
@superclau Not at all — and we wouldn’t want it to.
Think of it like empowering mechanics.
Diagnostics is mostly reasoning, not wrench-turning. Diaglo is designed to support that reasoning phase, especially when information is incomplete or noisy.
In practice, the best results come when a human validates or challenges the AI’s conclusions.
It`s a diagnostic brain — not a hand replacement.