RealtyOS
Documentation

Platform architecture & vision

How RealtyOS is built, who it's for, and what makes it different from a generic CRM.

The problem

Real estate software is fragmented. Brokers stitch together a CRM, a website, a chat widget, and a client portal — all from different vendors, none speaking to each other. Leads drop, responses drag, and clients feel like tickets.

The solution

An AI-native, multi-tenant operating system built vertically for real estate. Client portal, agent dashboard, and AI receptionist unified in one instant-sync architecture.

How it works for each role

Clients

Meet Sloane, our AI receptionist — she handles first contact, qualifies budget and timeline, and hands off to a human when it's time. After signup, clients get a dedicated portal with:

  • Curated listings matched to their stated preferences.
  • A unified timeline of scheduled tours (in-person and virtual).
  • A single message thread that merges AI history with live agent replies.

Agents & brokerages

Every lead arrives pre-qualified with a complete intent profile. Brokerage admins manage teams, listings, and assignment rules from one console.

  • Register as a solo agent or under a brokerage umbrella.
  • Custom inquiry links route leads directly to the right console.
  • Take over from Sloane mid-conversation with a live chat handoff.

Developers

The stack is deliberately lean — no heavy CSS frameworks, no bloated component libraries.

  • Next.js 16 App Router with Server Components and edge-friendly proxy middleware.
  • Supabase (Postgres + Auth) via Prisma ORM with Zod validation at every boundary.
  • Vanilla CSS + design tokens. No Tailwind, no CSS-in-JS runtime.
  • OpenAI function-calling powers qualification; chat state persists server-side.

Want the deep dive?

Source, schema, and engineering notes live in the repo README.

View on GitHub →