HomeTech Appliance Repair
A local service website engineered as an operating asset.
HomeTech Appliance Repair connects service information, local discovery and booking requests in one public experience. The work applies AI-SDLC to a real business website, including search-focused content and an administrative content structure.
A service journey, not just a brochure
Appliance and service-area content leads visitors toward booking requests. Structured intake can collect symptoms, equipment details and preferred timing so the business receives useful context.
Content operations support local discovery
Service, city and article management provide a foundation for maintaining local search content. The objective is clear information and useful discovery, not an unverified promise of rankings or phone-call growth.
Operational integration has a defined boundary
Project documentation identifies Jobber as the intended scheduling and customer-lifecycle owner. This case study does not claim completed CRM synchronization solely because that integration appears in a specification.
AI-SDLC beyond AI-branded products
The project shows that AI-assisted engineering matters for everyday business systems too: public pages, intake, content operations and SEO can be delivered as one coherent application without inventing an AI repair diagnostician.
How the work comes together.
Built through AI-SDLC: AI-assisted implementation paired with human architecture, review and iterative delivery. Across the studio, engagements range from days to a week or a month; no unverified duration is assigned to this project.
- Booking requests
- Local service content
- Content administration
- AI-SDLC and SEO