Insight 1
The interface matters
Expose the right controls, not everything
A good AI workflow depends on choosing which parameters, outputs and descriptions the model can access. That interface determines whether the AI can act meaningfully.
AIClaudeMCPGrasshopperAI Workflow
Ontologic concept
Control Grasshopper with Claude and MCP
Expose selected Grasshopper controls and outputs so Claude can steer a parametric workflow.
A demo of connecting Claude to Grasshopper with Swiftlet MCP, allowing AI to interact with and steer parametric design workflows.
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Video concept
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AI
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Key insights
The main ideas behind this concept.
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Insight 2
Insight 2
Outputs make AI useful
The model needs feedback from Grasshopper
When Claude can inspect model outputs, it can reason about consequences instead of blindly changing values.
Insight 3
Insight 3
MCP turns Grasshopper into a tool
AI can interact with a live parametric system
The bigger idea is that Grasshopper definitions can become callable tools inside broader agentic workflows.
AI + Grasshopper workflows
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