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.
ocean-currents
Mythologies → mechanisms
Turn fuzzy design beliefs into testable systems: constraints, scripts, and repeatable outputs.
Computational design systems
Parametric models that preserve intent: controllable geometry, readable parameters, and predictable behavior.
- Constraint-first setup
- Geometry that stays editable
- Rationalization + documentation
Automation + AI assist (headed)
AI supports drafting and debugging, but production stays inside Rhino/Revit where you can verify every step.
- Scripted generators & checkers
- Versioned assumptions
- Hand-off ready outputs