CommonsHome Specification

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CommonsHome

Where homes learn how to sell themselves.

CommonsHome is an open-source, modular AI platform for home staging, real estate marketing, spatial intelligence, and listing performance optimization.

Built under the GNU Affero General Public License v3.0 or later (AGPL-3.0+), CommonsHome combines computer vision, generative AI, spatial reconstruction, buyer psychology modeling, and real-world analytics into a unified real estate intelligence system.

The platform is designed to help homeowners, real estate agents, photographers, designers, investors, and developers transform ordinary property photos into fully optimized, market-ready listings.

Core Philosophy

CommonsHome is built around the idea that real estate presentation should be:

Open and transparent
Community-driven
Modular and extensible
AI-assisted but human-guided
Continuously improving through real-world feedback

CommonsHome treats every property as a living spatial and market system where layouts, staging, photography, marketing, and buyer engagement all influence one another.

System Workflow

Upload → Analyze → Stage → Optimize → Market → Validate → Learn

The platform continuously improves recommendations using real listing performance data and market feedback loops.

Modular Architecture

CommonsHome uses a modular service-oriented architecture designed for extensibility and long-term scalability.

Core Layers

Vision & Perception Layer
Spatial Intelligence Layer
Layout & Staging Engine
Rendering & Visualization Layer
Photography Intelligence Layer
Marketing & Content Layer
Market Intelligence Layer
Analytics & Feedback Layer
Risk & Compliance Layer
Collaboration & UX Layer
Plugin & Ecosystem Layer

Full Feature List

1. Image Upload & Room Detection

Upload single or multi-angle room photos
Support for empty or furnished interiors
Floor plan ingestion support
AI room classification
Structural element detection:
- Walls
- Doors
- Windows
- Ceiling boundaries
Separation of movable and fixed objects
Spatial geometry mapping

2. AI Room Layout Engine

Automated furniture arrangement generation
Traffic flow optimization
Focal point detection
Multi-layout generation
Space efficiency scoring
Layout presets:
- Luxury
- Family-friendly
- Investor-focused
- Editorial design

3. Virtual Furniture & Staging System

Drag-and-drop staging tools
AI-generated furniture suggestions
Interior style presets:
- Modern
- Scandinavian
- Industrial
- Rustic
- Luxury Minimalism
Automatic furniture scaling
Shadow-aware rendering
Occlusion-aware placement
Community furniture asset packs
Blender-compatible imports

4. AI Photography Optimization Engine

Best-angle recommendations
Camera position guidance
Lighting optimization
Natural light analysis
Exposure balancing
Lens distortion guidance
Photographer shot-list generation
Mobile guided capture mode

5. Automated Listing Content Generator

AI-generated MLS descriptions
SEO-optimized property copy
Social media content generation
Headline A/B testing variants
Tone customization:
- Luxury
- Family-focused
- Investment-focused
- Neutral factual
Property feature extraction
Local keyword optimization

6. Generative Virtual Staging Engine

Empty-room staging generation
Style transfer rendering
Seasonal staging themes
Buyer demographic targeting
Photorealistic rendering
Iterative refinement workflows

7. Multi-Angle Scene Consistency Engine

Cross-image furniture consistency
Multi-view reconstruction
Object anchoring system
Perspective alignment enforcement

8. Marketing Export Toolkit

MLS-ready image exports
Social media export formats
Before/after sliders
Watermarking and branding
PDF brochure exports
Automated image ranking

9. Collaborative Staging Workspace

Multi-user project collaboration
Realtor/designer workflows
Annotation tools
Version history tracking
Approval workflows

10. Open Asset & Plugin Ecosystem

Plugin API system
Custom AI model integration
Community asset libraries
Scriptable layout rules
Extensible staging logic

11. AI Recommendation & Analytics Layer

Staging strategy optimization
Regional buyer preference modeling
Room prioritization scoring
Conversion optimization insights
A/B testing support

12. Listing Performance Feedback Loop

Listing engagement tracking:
- Views
- Saves
- Inquiries
- Days on market
Correlation analysis between:
- Staging
- Layouts
- Photography
Continuous recommendation improvement
Region-aware learning models

13. Privacy-First Deployment Model

Local deployment support
Cloud or hybrid deployment
No vendor lock-in
Transparent inference modes
Configurable data retention policies

14. Accessibility & UX Layer

One-click staging workflows
Guided onboarding
Plain-language AI explanations
Mobile-first support
Low-bandwidth processing modes

15. 3D Spatial Reconstruction Engine

Multi-image room reconstruction
Mesh-based modeling
Walkthrough simulation
Blender and Unreal export support

16. AR Home Staging Mode

Real-time AR staging
Mobile furniture placement
Interactive room visualization
Live style switching

17. Video Walkthrough Generation

Cinematic AI-generated tours
Automated camera paths
Voiceover generation
Music-assisted presentations

18. Lighting Intelligence System

Natural light direction analysis
Time-of-day simulation
Shadow realism correction
Window exposure balancing
Golden-hour optimization

19. Smart Decluttering Assistant

Clutter detection
Cleanup recommendations
Clean-room visualization
Pre-staging optimization

20. Buyer Psychology Simulation Engine

Buyer persona simulation
Emotional response prediction
Attention heatmaps
Drop-off risk analysis
Engagement scoring

21. Renovation Simulation Mode

Paint color visualization
Flooring replacement previews
Wall-removal simulation
Kitchen redesign visualization
Cost estimation overlays

22. Listing Performance Intelligence Dashboard

Post-listing analytics
Staging effectiveness tracking
Market benchmarking
Conversion funnel analysis

23. Real Estate Listing Autopilot

Automated publishing workflows
Multi-platform synchronization
Listing scheduling optimization

24. Competitive Market Gap Finder

Nearby listing analysis
Differentiation recommendations
Market positioning insights
Emotional and visual gap analysis

25. Adaptive Style Learning System

Brokerage-specific learning
Signature staging styles
High-performing layout reuse
Brand consistency enforcement

26. Furniture Marketplace & Mapping Layer

Real furniture matching
Shop this room mode
Budget-based staging variations
Optional affiliate integrations

27. Structural Constraint Intelligence

Load-bearing wall estimation
Beam and support detection
Electrical and HVAC mapping
Door swing clearance modeling
Collision-aware layouts
Accessibility compliance checks

28. Emotional Flow Mapping Engine

Whole-home emotional modeling
Entry impact scoring
Room-to-room continuity analysis
Narrative flow optimization

29. Voice-Controlled Staging Assistant

Natural language staging commands
Conversational layout updates
Hands-free workflow support

30. Insurance & Risk Visualization Layer

Flood risk visualization
Structural wear detection
Condition scoring
Insurance-ready reporting
Renovation liability warnings

31. Multi-Property Portfolio Optimization

Portfolio-wide analytics
Staging ROI tracking
Budget allocation recommendations
Cross-property comparisons

32. AI Negotiation Impact Predictor

Sale-price impact prediction
Negotiation leverage analysis
Offer probability forecasting
Staging ROI estimation

33. Live Staging for Video Calls

Real-time virtual staging
Dynamic buyer-specific customization
Live walkthrough enhancements

34. Sustainability & Eco Scoring

Eco-friendly staging recommendations
Sustainability scoring
Energy-efficiency visualization

35. Cross-Property Style Transfer Engine

Reuse successful aesthetics
Cross-listing style cloning
Style fingerprinting system

System Philosophy

CommonsHome is designed as:

A modular real estate intelligence platform
A community-driven open-source ecosystem
A transparent AI-assisted workflow system
A continuously learning market optimization engine

The project is intended to evolve collaboratively through shared infrastructure, open standards, and interoperable services.

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/commonshome/

License & Notice Requirements

CommonsHome is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to Roxanne Ardary and roxanneardary.com.
CommonsHome specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – CommonsHome

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – May 15, 2026
Created the CommonsHome repository and defined the foundational architecture for an open-source, AI-powered real estate staging and listing intelligence platform.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – CommonsHome

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License: https://www.gnu.org/licenses/agpl-3.0.html