Hello, I’m Atelier Kai, a construction project manager with over 20 years of experience in the field. Throughout my career, I’ve overseen countless complex projects, focusing on quality management and architectural engineering. Today, I am embarking on a new mission: merging human expertise with Artificial Intelligence.
Recently, I’ve been experimenting with the "Architecture Law Ontology Pack" provided by @alex_ai_mcp and participating in the OpenCrab beta testing community. What started as simple curiosity—"What is an ontology in architecture?"—turned into a functional application that I built myself.
Here is a look at my [Integrated 3D Site Analysis System] and how AI is changing the way I work.
1. The Power of "Vibe Coding"
Even without being a professional software developer, I was able to translate my decades of industry knowledge into a working application. By accurately describing the "workflow" of a construction professional to the AI, I developed a high-quality HTML-based tool.
This isn't just a pretty interface; it’s built on the logical structure of architectural laws, allowing for a seamless transition from site data entry to 3D visualization.
2. Core Features: From Law to Feasibility in 5 Steps
The system is designed to handle the critical initial phases of a project in one go:
Step 1: Site Data Input: Input address, area, and road conditions.
Step 2: Automatic Zoning Detection: Identifies the specific zoning district (Residential, Commercial, etc.) and retrieves legal constraints.
Step 3: Automated Legal Review: Checks compliance for Building Coverage Ratio (BCR), Floor Area Ratio (FAR), setback lines, and solar access.
Step 4: Feasibility Report (DDFL): Estimates construction costs and sales revenue to calculate projected net profit and ROI.
Step 5: 3D Mass Modeling: Uses Three.js to instantly visualize the building's volume within legal boundaries.
3. Professional 3D Simulation at Your Fingertips
The 3D Modeling section is where the magic happens:
Layer Control: Toggle visibility for site boundaries, setback zones, parking lines, and the building mass.
Real-time Adjustments: Adjust sliders for floors or height, and watch the 3D model update instantly to reflect legal compliance.
Export Plan: Generate and download SVG floor plans based on the analysis for immediate use in presentations.
4. Lessons Learned: Data Structure is Everything
This project taught me that while AI is a powerful tool, its intelligence depends on how data is organized. The "Architecture Law Ontology Pack" was the key; it provided the logical framework that allowed the AI to understand the context of complex building codes.
While there are still challenges ahead—such as integrating real-time government APIs for land data—I am amazed that a few prompts could create such a high-quality tool. It has given me the confidence to digitize my 20 years of "offline" know-how into the AI era.
Special thanks to @alex_ai_mcp for the vision and my fellow testers (@sooo.ryu, @kue_0421, @ziteun_vin) for the inspiration.
[A Note from Atelier Kai] As someone who values the analog touch of a traveler's notebook and a fountain pen, I find it fascinating to be simulating houses with AI. We shouldn't fear technological change; instead, we should ride the wave. That is where the next great opportunity for architects and builders lies.
Tags: #AIArchitecture #SiteAnalysis #PropTech #ConstructionPM #VibeCoding #Threejs #BuildingCodes #AtelierKai #DigitalTransformation
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