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CRM & Operations Dashboard Platform
Real-estate teams were managing listings, clients, and showings across disconnected workflows. This project brings those operations into one structured workspace.
Overview
Here's what that looks like applied to a real scenario: a real estate team's day-to-day — listings, clients, and showings, run through the same architecture.
Teams track their data across spreadsheets, texts, and tools that didn't fit how they actually worked — no shared view, no clear picture of what needed attention today. This replaces that with one branded, structured interface: a dashboard that surfaces overdue work first, a pipeline that mirrors how work actually moves, and permissions that match how a real team is organized — each role seeing what it should.
Interface
Product surfaces
Dashboard
What needs attention today, not just a list of everything.
Interface
Product surfaces
Dashboard
What needs attention today, not just a list of everything.
Key features
Four pieces, one system
A prioritized queue, a pipeline that mirrors real work, listings with a lifecycle, and access that matches how the team is actually structured.
Key features
Four pieces, one system
A prioritized queue, a pipeline that mirrors real work, listings with a lifecycle, and access that matches how the team is actually structured.
My Work
One view of what needs you this week — overdue showings, stale leads, deals going cold — instead of hunting across four different lists.
Pipeline, Not Just a List
Clients move through real stages — lead to contacted to closed — with kanban or list view, and a memory of every call and visit.
Listings with a Lifecycle
Properties tracked from available to under offer to closed, with map or table browsing and shareable filtered views.
Built for a Real Team
Agents see their own book. Managers see their team. Admins see the org. Same product, different lens — enforced at the data level, not just hidden buttons.
Technical approach
Five decisions that keep the system easy to extend instead of harder — the same patterns apply whether it's a new page, a new role, or a new AI action.
How it's built to last.
01
One rendering pattern, not a fight every page01One rendering pattern, not a fight every page
Every list page — Properties, Clients, Schedule — follows the same server-first-then-interactive pattern, tested in a separate lab before being applied here. New pages inherit a known trade-off instead of re-litigating it.
02
Structure that keeps growing without turning to mud02Structure that keeps growing without turning to mud
Code is organized by responsibility — routing, composition, data, shared logic — each with a clear one-way dependency. It costs more setup upfront; it means the app doesn't get harder to work in as it grows.
03
URLs that hold real state03URLs that hold real state
Filters, view mode, and even which drawer is open live in the URL — so a manager can send a teammate a link and they land in the exact same view. That's a small detail that makes a big difference for a team, not a solo user.
04
The database is the actual security boundary04The database is the actual security boundary
Permissions aren't just hidden buttons — they're enforced at the database level, so an agent literally cannot query data outside their own book, whether from the UI or the AI assistant.
05
The AI follows the same rules as everyone else05The AI follows the same rules as everyone else
The assistant proposes a change, shows it, and waits for confirmation before anything is saved — same permission checks as a human user. It can act, but it can't skip the guardrails. Explore AI Integration
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Results
What it delivers in practice.
Runs on a live database with real permission logic
Agents, managers, and admins each seeing exactly what their role allows.
The dashboard surfaces overdue work automatically,
Pipeline reflects how deals actually move,
The AI assistant operates under the same rules as everyone else
New pages follow the same patterns already proven