AI build guide
Build a real-estate platform with AI around trustworthy listings
Property software must make inventory understandable without implying availability, pricing, or verification that the underlying data cannot support.
01
Model listing provenance
Track source, status, update time, location precision, media rights, and responsible agent or owner.
02
Make discovery useful
Design filters and result states around actual inventory instead of creating empty indexable combinations.
03
Protect enquiries
Minimise personal data, route leads safely, prevent spam, and verify the complete enquiry path.
04
A public Xroga example
Harbourline in the Xroga Showcase is a public real-estate product demonstration with responsive discovery, filters, saved items, property detail, enquiry, and calculation flows. Listing content is sample data and is not presented as verified inventory.
05
A production-shaped prompt
Build a property platform with listing provenance, status and update time; searchable inventory; saved homes; privacy-aware enquiries; role-based listing management; and mobile browser checks. Never imply availability the source cannot prove.
06
Before calling it production-ready
Review permissions, data handling, error states, accessibility, mobile behaviour, tests, environment configuration, observability, and rollback. The exact checklist must follow the project rather than a fixed framework template.