Kirkeelee

MendCue is an AI intake assistant that turns a customer’s appliance problem into a structured service request a repair technician can review before a visit. Customers describe symptoms through an embedded website chat. Meta Muse Spark extracts details such as appliance type, brand, error codes, symptoms, location, and contact information. MendCue collects missing information, then lets customers review and correct their request before submitting it. The same request appears in an authenticated, mobile-friendly technician workspace. Technicians can review reported facts, missing information, and a preliminary AI assessment, then add notes and manage internal appointments. MendCue distinguishes customer-reported information from AI hypotheses and keeps unknown details explicit. The technician remains responsible for diagnosis and repair decisions. MendCue is integrated into the live website of QuickFix Appliance Repair in Phoenix, Arizona. Its customer-to-technician workflow has been tested with live Meta inference and durable PostgreSQL storage. Built with Meta Muse Spark, validated with version 1.3, MendCue focuses on a practical problem for small service businesses: collecting useful information before the technician arrives.