Demo project - fictional, seeded US data
Larkvessa: Real Estate Listings Portal and Agent CRM (Demo Project)
Larkvessa is a demo real estate platform we built to show how one system can run a brokerage: a public listings portal, an agent CRM and a broker back office, with AI that tells agents who to call first. It runs on fictional, seeded US data.
Overview
Larkvessa brings three tools a brokerage usually buys separately into one system: a public listings portal where buyers search and enquire, an agent CRM where every enquiry becomes a tracked lead, and a broker back office for listings, agents, lead distribution and commissions. Every enquiry from the website lands in the CRM with its source attached.
The problem and the goal
Many independent brokerages run listings, enquiries and agent follow-up across a website builder, spreadsheets, a separate CRM and email. Leads arrive faster than agents can answer them, hot buyers go cold, viewings clash, and the broker can't see pipeline value or the commissions owed.
Demo goal: one system for the whole brokerage, with AI that tells agents who to call first.
Problem framing is the demo's design brief, not a client's story.
Who it's for
- Independent residential brokerages and boutique agencies with 5-50 agents
- New-development sales teams that need their own branded listings portal
- Agencies moving away from portal dependence that want to own their leads and buyer data
Roles
Admin / broker
- What they do
- Runs the agency: approves and features listings, manages agents, distributes leads, tracks commissions, sets up follow-up sequences and reviews the audit trail and AI usage log.
Agent
- What they do
- Works their own pipeline: Kanban lead board, lead detail with notes and tasks, viewings calendar, and their own listings with AI-written copy.
Buyer
- What they do
- Searches listings, saves favourites and searches, sends enquiries, books viewings and manages their profile.
| Role | What they do |
|---|---|
| Admin / broker | Runs the agency: approves and features listings, manages agents, distributes leads, tracks commissions, sets up follow-up sequences and reviews the audit trail and AI usage log. |
| Agent | Works their own pipeline: Kanban lead board, lead detail with notes and tasks, viewings calendar, and their own listings with AI-written copy. |
| Buyer | Searches listings, saves favourites and searches, sends enquiries, books viewings and manages their profile. |
Modules
Public listings portal
- What it includes
- Search with filters (price, beds, type, city); grid, list and map views; listing detail with gallery, enquiry and viewing booking; agents directory
- Designed to
- Capture leads on an agency-owned site instead of third-party portals
Buyer account
- What it includes
- Favourites, saved searches and enquiry history
- Designed to
- Bring buyers back and give agents richer intent data
Agent dashboard
- What it includes
- Today's tasks, upcoming viewings, pipeline value, hot leads, recent activity
- Designed to
- Show each agent what to do first
Lead CRM (Kanban)
- What it includes
- Six-stage pipeline with drag and drop; board and table views; lead detail with timeline, notes, tasks and AI score
- Designed to
- Standardize follow-up across agents
Tasks
- What it includes
- Due and overdue tasks linked to leads, one-click complete
- Designed to
- Keep follow-ups from slipping
Viewings calendar
- What it includes
- Week view with conflict detection that blocks double-booking (with an override), status updates and rescheduling
- Designed to
- Prevent clashing appointments
Agent listings
- What it includes
- Create, edit and archive listings with image galleries and an AI description writer
- Designed to
- Get listings live quickly with consistent copy
Admin dashboard
- What it includes
- KPIs, charts by lead source and stage, agent leaderboard
- Designed to
- Give the broker visibility of pipeline and performance
Listings and agent management
- What it includes
- Approve, edit, feature and bulk-update listings; add and manage agents
- Designed to
- Control what the public sees
Lead distribution
- What it includes
- Agency-wide lead table with reassign and bulk assign
- Designed to
- Balance workloads; no orphaned leads
Commissions
- What it includes
- Deal-level commission tracking, mark as paid, CSV export
- Designed to
- Make payouts and accounting hand-off simple
Follow-up sequences
- What it includes
- Multi-step automated sequences with enrolments, enabled per sequence
- Designed to
- Nurture leads without manual chasing
Audit log and AI usage log
- What it includes
- Readable change history (who, what, before and after); every AI call logged
- Designed to
- Accountability and transparent AI costs
Settings
- What it includes
- Agency settings, user profile and password
- Designed to
- Self-service administration
| Module | What it includes | Designed to |
|---|---|---|
| Public listings portal | Search with filters (price, beds, type, city); grid, list and map views; listing detail with gallery, enquiry and viewing booking; agents directory | Capture leads on an agency-owned site instead of third-party portals |
| Buyer account | Favourites, saved searches and enquiry history | Bring buyers back and give agents richer intent data |
| Agent dashboard | Today's tasks, upcoming viewings, pipeline value, hot leads, recent activity | Show each agent what to do first |
| Lead CRM (Kanban) | Six-stage pipeline with drag and drop; board and table views; lead detail with timeline, notes, tasks and AI score | Standardize follow-up across agents |
| Tasks | Due and overdue tasks linked to leads, one-click complete | Keep follow-ups from slipping |
| Viewings calendar | Week view with conflict detection that blocks double-booking (with an override), status updates and rescheduling | Prevent clashing appointments |
| Agent listings | Create, edit and archive listings with image galleries and an AI description writer | Get listings live quickly with consistent copy |
| Admin dashboard | KPIs, charts by lead source and stage, agent leaderboard | Give the broker visibility of pipeline and performance |
| Listings and agent management | Approve, edit, feature and bulk-update listings; add and manage agents | Control what the public sees |
| Lead distribution | Agency-wide lead table with reassign and bulk assign | Balance workloads; no orphaned leads |
| Commissions | Deal-level commission tracking, mark as paid, CSV export | Make payouts and accounting hand-off simple |
| Follow-up sequences | Multi-step automated sequences with enrolments, enabled per sequence | Nurture leads without manual chasing |
| Audit log and AI usage log | Readable change history (who, what, before and after); every AI call logged | Accountability and transparent AI costs |
| Settings | Agency settings, user profile and password | Self-service administration |
AI features
- Lead scoring: scores each lead from 0 to 100 and shows the reasons (budget fit, engagement, recency), so agents know who to call first.
- Listing description writer: turns listing specs into polished marketing copy.
- Price estimate: suggests an indicative price range for a listing from comparable data.
- Natural-language buyer search: a buyer types what they want in plain English and it becomes listing filters.
- Provider-agnostic: works with any OpenAI-compatible API, logs every call, and includes a mock mode so the demo runs without an API key.
Tech stack
Back end
- Technology
- Laravel 11 (PHP 8.2+)
Front end
- Technology
- Inertia.js + React 18, Tailwind CSS
Database
- Technology
- MySQL 8
Auth and access
- Technology
- Laravel Breeze authentication with role middleware
Testing
- Technology
- Feature test suite (36 tests)
Hosting
- Technology
- Deployable on standard cPanel hosting
| Layer | Technology |
|---|---|
| Back end | Laravel 11 (PHP 8.2+) |
| Front end | Inertia.js + React 18, Tailwind CSS |
| Database | MySQL 8 |
| Auth and access | Laravel Breeze authentication with role middleware |
| Testing | Feature test suite (36 tests) |
| Hosting | Deployable on standard cPanel hosting |
Want a Laravel build like this? Hire Laravel developers from our team.
Build approach
- One role-based Laravel application with an Inertia/React interface, so the portal, CRM and back office share one codebase and one database.
- AI behind a provider-agnostic layer, with logging and a mock mode, so the AI provider can change without touching the app.
- Seeded demo data, so every screen can be explored with realistic, fictional records.
- Feature-tested and built to run on standard cPanel hosting.
Screenshots
Any KPI or chart values visible in screenshots are fictional seed data.
Demo project - fictional, seeded US data
Demo data (fictional sample records)
To make every screen explorable, the demo is seeded with fictional US data: 60 listings, 8 agents, 150 leads, 12 deals and 72 viewings. These are sample records, not usage figures or results.
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