Your Cart
Loading
Only -1 left

LLM Systems Architecture in Grasshopper : This is a complete LLM systems architecture, expressed as intelligent architectural massing, built entirely inside Grasshopper.

On Sale
$29.99 (75% off)
$7.50
Added to cart

LLM Systems Architecture as Intelligent Massing

A 10-Step Master Algorithmic Script Series

by Wickerson Studios


What this is

This script series is a full-stack architectural framework for understanding and designing Large Language Model (LLM) systems through computational geometry in Grasshopper for Rhino.

Instead of treating AI as a black box, the system spatializes intelligence:

  • Retrieval-Augmented Generation (RAG)
  • Multi-model routing
  • Prompt bias and persona control
  • Long-term memory and vector stores
  • Safety, compliance, and governance
  • Feedback loops and self-correction
  • Performance and cost optimization
  • Cloud / Edge / Local deployment
  • Final product packaging and distribution

Each concept is expressed as architectural massing, curves, envelopes, and transformations, making AI systems visible, inspectable, and teachable.


Why this is different

Most AI workflows stop at prompts.

This system operates at the level of architecture.

  • AI behavior becomes form
  • Cost becomes geometry
  • Deployment becomes spatial topology
  • Learning becomes morphological evolution
  • Safety becomes envelopes and constraints

The result is a 7th-derivative intelligent massing system that mirrors how real production AI systems are designed—using the language of architecture and computational design.


What the 10 STEPs cover

Each STEP builds directly on the previous one, forming a coherent system:

  1. RAG Massing & Knowledge Foundations
  2. Multi-Model Structural Spines & Routing
  3. Knowledge Strata & Sectional Intelligence
  4. Prompt Bias Fields & Formal Deformation
  5. Memory Cores & Persistent Intelligence
  6. Safety, Constraints & Governance Envelopes
  7. Feedback, Iteration & Morphological Learning
  8. Performance & Cost Control
  9. Deployment Topologies (Cloud / Edge / Local)
  10. Packaging & Wickerson Studios Distribution

By the end, the output is not a sketch or demo—but a deployable, product-ready system.


Who this is for

This series is designed for:

  • Computational architects & designers
  • Advanced Grasshopper users
  • AI engineers working beyond prompt-only workflows
  • Educators teaching AI systems thinking
  • Studios integrating AI into design pipelines

If you think in systems, structure, constraints, and form, this series is built for you.


What you get

  • 10 fully written Grasshopper C# script nodes
  • Stable, RhinoCommon-safe implementations
  • Clean CFG / SFG configuration APIs
  • Architecturally meaningful geometry outputs
  • Teaching-ready logic and structure
  • Commercial-grade organization and packaging

No broken nodes.

No hand-waving.

No black boxes.


Why Wickerson Studios

Wickerson Studios specializes in deep computational rigor, architectural intelligence, and systems that scale.

This script series reflects that philosophy:

  • precise
  • extensible
  • visually legible
  • production-aware

It’s not just a tool—it’s a way of thinking about AI through architecture.


In one sentence

This is a complete LLM systems architecture, expressed as intelligent architectural massing, built entirely inside Grasshopper.

You will get the following files:
  • GH (41KB)
  • GH (36KB)