AI for the Built Environment
Practical AI-assisted tools
for architecture workflows.
I build reproducible systems: Python scripts + headed tools (Rhino/Grasshopper, Revit/Dynamo) + clear constraints. Not magic prompts.
Computational Design
Rules, parameters, constraints, repeatable intent.
Python Scripting
Geometry, drawings, automation, auditability.
AI Assistance
Structure intent, generate/debug code, document systems.
Deep dives live in Notion (process notes, scripts, assets). This site is the front door.
What I do
I focus on tools that make real work faster, safer, and more legible: generators, checkers, and automation.
Headed workflows
Geometry and drawings stay controlled inside Rhino/Revit. AI supports the workflow without pretending to be ground truth.
- Constraint-first pipelines
- Reproducible outputs
- Versioned assumptions
Built for iteration
The goal is not one perfect result. The goal is a system you can iterate, test, and ship.
- Parameter sets and presets
- Edge-case checks
- Documentation you can hand off
Featured projects
Five generative design anchors that bridge into AI development.