Algorithmic Design Workflow

 

My workflow is structured into three clear phases that gradually increase detail over time—from fast exploration to a refined design, and finally to production-ready documentation. This way, we can stay creative early on, make confident decisions in the middle, and end with a result that is not only visually strong, but also buildable and easy to manufacture.

SKETCH (Concept & Ideation) — Which logic should we use? (Many variants)
This is the exploratory phase where I “think out loud” through sketches, quick 3D tests, and parametric scripts as tools for visual reasoning. I generate multiple design directions through rapid algorithmic brainstorming and keep the models intentionally low-fidelity (LoD), focused on the big picture rather than fine details. Through iterative tests—often based on mathematical and geometric principles—I compare alternatives, identify what works, and gradually downselect to the most promising concept. The output is a clear design logic and a set of key parameters that will drive the project forward.

STUDY (Design Development & Aesthetics) — How do we make it beautiful? (One variant)
Here the process narrows to one selected direction and goes deeper. I refine the design language—rhythm, texture, proportions, and transitions—until the composition feels balanced and intentional. Geometry becomes high-fidelity, suitable for architectural studies, visualization, and client approval. In parallel, I optimize and clean the Grasshopper definition for stability and flexibility, so the model stays controllable even as complexity grows. This phase ends with a “design freeze”: a final, validated version ready to be translated into technical reality.

REALISATION (Technical Data & Fabrication) — How do we build it? (Hand-in data)
In the final phase, the project becomes production-ready. I generate clean 2D outputs (DXF/DWG) for CNC milling or laser cutting, and I can automate part tagging so every unique component is numbered for smooth assembly. I deliver accurate data tables and a bill of materials (BOM), including dimensions and quantities, and—when needed—structural information such as weight, volume, or center of gravity. To support efficient fabrication, I prepare nesting strategies to reduce material waste, design construction details (support systems, backings, brackets), and incorporate real-world constraints like tolerances and assembly logic. If required, the output can also be prepared for BIM workflows.