Skip to content

( GXD ) Grasshopper Design Assistant.

Prompt to Parametric Design.

Abstract intent to code: compile C# that auto-assembles clean, iterable Grasshopper definitions

GenXDefinition is a custom GPT for Grasshopper built for parametric architects, artists and designers. GenXDefinition accelerates Grasshopper work by converting your design intent into compiling C# scripts that build full definitions—components placed, wires connected and sliders set. It respects data types, uses validated component proxies, and favors best-practice structure (clear messages, sensible parameter ranges, and reproducible setups). Whether you’re exploring façade systems, furniture, canopies, or stairs, you get clean, parameterized graphs that are easy to tweak, version, and scale. Set up intention, Iterate freely, code in safe environments. Experiment with contemporary design practices. GXD is discoverable in GPT store OpenAI.

By launching on chatgpt.com you agree to our Terms of Use.

Launch GXD on chatgpt.com See example outputs
Parametric glow video
Additional parametric glow video from YouTube

How it Works

Step 1

Describe intent — e.g., “spiral canopy with hex panels + two attractors.”

Step 2

GenXDefinition generates — compile the complete C# script in the C# component, remove output [a], add a toggle in [x] and a button in [y], set [x] to true and release the button to assemble the definition.

Step 3

Tweak & iterate — sliders, parameters, and clean grouping for fast variants.

About

GenXDefinition automates architectural and furniture design in Grasshopper. Describe your design intention and domain — organic, minimal, ergonomic or brutalist, facades, canopies, stairs, chairs or lamps with panels and attractor influence, —and receive a complete C# that assembles the definition with the help of the C# component. Go from prompt to parametric design you can adjust and expand for concept, iteration, and production. Edit, iterate, and scale to real projects.

Instructions

To integrate this tool effectively:

  • Drag and place a new C# scripting component onto the Grasshopper canvas.
  • Remove the default output [a].
  • Paste the provided script into the C# component.
  • Add two input :
  • [x] as a Boolean Toggle to activate or deactivate the script functionality.
  • [y] as a Button component to trigger immediate execution of the script.

Capabilities

  • Generates end-to-end C# scripts that assemble creative Grasshopper definitions
  • Uses sane slider ranges and clean canvas layout for rapid tuning
  • Supports organic + rational forms: lofts, ruled surfaces, attractors, panelization
  • Clear runtime feedback, stable scheduling, and reproducible outputs
  • Enforces correct proxy names & data types, with helper methods included

Who it’s for

  • Studios & makers who want parametric speed without scripting overhead
  • Architects & computational designers exploring early stages of design
  • Design educators & students exploring parametric workflows

Example Raw Outputs

Output definitions, each is built as an iterable compiling definition. Grasshopper ready • typed connections • reproducible.

FAQ & Troubleshooting

Does GenXDefinition output complete, compiling scripts?

Yes—end-to-end C# that assembles Grasshopper definitions with typed connections.

Can I adjust ranges and parameters?

Yes—sane slider ranges and clear grouping are included.

Organic or rational?

Both: lofts, ruled surfaces, attractors, panelization.

Is this production-ready?

It’s designed for rapid concepting through to fabrication-aware logic.

What about reproducibility?

Stable scheduling and clear runtime feedback ensure repeatable results.

I pressed the button but nothing happened on the canvas. What did I do wrong?

First, ensure the Boolean toggle is set to true before pressing the button. The toggle (often labeled “Generate” or similar) enables the scheduled solution block; if it’s false, the script exits without building anything.

If the toggle was off, turn it on and press the button again. If it was on and still nothing happened, check the Grasshopper runtime messages—the script may have run but hit an error such as “Component '___' not found.” Open the C# script editor to swap in an alternative component or install the missing plugin.

Another possibility is a compile error. If the C# component itself is red, read the error message (e.g., a missing semicolon or brace), fix it, and try again.

I got an error: “Object reference not set to an instance of an object” in the C# script.

This null reference error can occur when a CreateProxy call fails to find the specified component and returns null, and the code then tries to use that object. The runtime message should indicate which component was missing—correct the name or ensure the library is installed.

It can also arise if the generated logic assumed an input that wasn’t provided. Adjust the prompt to supply the expected inputs or edit the code to include null checks.

Grasshopper became very slow or unresponsive after generation.

The definition may be extremely large or computationally heavy. Consider:

  • Disabling the solver temporarily to regain UI responsiveness, then simplifying the definition.
  • Reviewing your prompt—did it request an excessively large model? Offload repetition to Grasshopper where possible.

This highlights the need for complexity control; future versions may introduce stepwise generation to mitigate heavy operations.

The AI suggested a component I don’t recognize (or a parameter name in quotes).

GenXDefinition may sometimes use pseudo‑names that don’t exactly match existing components. If Grasshopper can’t find a component, locate the closest equivalent and substitute it—for example, “Blend Curve” instead of “Blend Curves.”

This stems from limited training data. Treat the suggestion as a hint and map it to the appropriate native or plugin component.

Current Research

Academic Coordinator
Prof. Kourniatis Nikolaos
Researcher
Konstantinidis Rafail

For research inquiries only.

Ready to go from prompt to parametric?

Open GenXDefinition to generate Grasshopper scripts instantly.

By launching on chatgpt.com you agree to our Terms of Use.

Launch GenXDefinition

Experimental & unaffiliated

  • Not affiliated with, endorsed by, or sponsored by Grasshopper, Rhino, Robert McNeel & Associates (McNeel), or OpenAI.
Experimental research Read Terms

Origin

Proof of concept

Conceptualised through academic research; Created for advanced workflows.

Research‑driven M.Sc. Interaction Generative Design Hellenic Open University
“Synergies of Generative Design Systems: Parametric Applications, Custom Tools, and Large Language Models (LLMs) Processes in Computational Design.”
Author
Konstantinidis Rafail
Supervisor
Laskari Anna
Coordinator
Kourniatis Nikolaos
School
Applied Arts & Sustainable Design
Programme
M.Sc. Interaction Generative Design

Changelog

  • 2025-08-09 — Added troubleshooting FAQs.
  • 2025-08-08 — Beta launch copy & site.
  • 2025-08-06 — Added gallery examples and FAQ refinements.