I Built an AI Receptionist for a Luxury Mechanic Shop – Part 1
Summary
The article documents building a grounded AI receptionist for a luxury mechanic shop using a retrieval-augmented generation (RAG) pipeline, a semantic knowledge base, and a voice interface. It covers data grounding, tool selection, integration across phone and cloud services, testing, and the importance of escalation to capture missed opportunities. It provides a practical blueprint for SMBs to reduce missed calls and convert inquiries into callbacks or bookings.