Automotive diagnosis is unforgiving. If a generic chatbot suggests the wrong spark plug thread pitch, an incorrect torque specification, or hallucinates an OBD-II code resolution, it can destroy an engine.
Generic AI models often give fluffy, non-committal advice. To solve this, I built AutoFix AI βan enterprise-grade automotive diagnostic assistant engineered specifically for automotive repair shops and technicians.
Here is how I architected the system combining Sanity Structured Data , Groq LPU ultra-fast inference , Next.js , and WhatsApp Cloud API to deliver sub-second, ASE Master Tech-grade diagnostics.
π οΈ The Architecture: Grounded AI vs. Hallucination
The biggest flaw in LLMs for specialized fields is hallucinated part numbers.β¦
