Learn AI-Powered Apps in Grasshopper - 3D Interactive Study Guide | 12-Step C# Script | Rhino 7/8
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| Learn AI-Powered Apps in Grasshopper |
| 2026 Wickerson Studios |
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TITLE
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Learn AI-Powered Apps in Grasshopper - 3D Interactive Study Guide |
12-Step C# Script | Rhino 7/8
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SUBTITLE / TAGLINE
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Embeddings scatter through 3D semantic space where similar words
cluster together. RAG pipelines flow from documents through vectors
to generation. Agent loops orbit around goals. Token sequences become
coloured block trains. The foundations for building AI-powered design
tools - made visible inside Rhino.
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DESCRIPTION
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AI is transforming design tools. LLMs generate code. RAG systems
answer questions from your documents. Agents iterate designs
autonomously. But what are these systems actually doing?
This script makes it visible.
Drop a single C# component into Grasshopper, connect a slider (1-12),
and watch AI concepts come alive as 3D geometry you can orbit, zoom,
and bake into Rhino layers.
THE 12 STEPS:
Step 1 - LLM Fundamentals
Full transformer block diagram: input tokens, self-attention layer
with Q/K/V labels, attention wires with thickness = weight, feed-
forward MLP, output probabilities. Autoregressive feedback loop.
Multi-head attention annotation. Temperature explanation.
Step 2 - Tokenisation
Text-to-token-to-ID pipeline. Raw text at top, BPE token blocks
in the middle (coloured by word), integer IDs at bottom. Context
window diagram showing prompt vs response allocation. Special token
reference. Pricing-per-token annotation.
Step 3 - Embeddings
3D semantic space with three word clusters: architecture terms
(blue), nature terms (green), math terms (red). Cosine similarity
lines between close words (0.92) and far words (0.15). Vector
arithmetic annotation. This step VISUALISES embeddings as actual
Point3d vectors in Rhino - the most powerful diagram in the series.
Step 4 - Prompt Engineering
Message stack: system, user, assistant roles with descriptions.
Four technique boxes: zero-shot, few-shot, chain-of-thought,
structured output. Temperature scale from 0 (deterministic) to 1+
(creative). "The prompt IS the program."
Step 5 - API Architecture
Client-server diagram with YOUR APP and LLM API boxes. Request
arrow (POST /v1/messages) with body contents. Response arrow with
JSON fields. Streaming SSE with token-by-token dots. Rate limits
and pricing annotation.
Step 6 - Function Calling (Tools)
Orbital tool-use loop: prompt + tools -> LLM -> tool_call(args) ->
your app executes -> tool_result -> LLM -> final response. Five
numbered steps with arrows. Tool schema example. Design tools
list (move_slider, run_simulation, get_geometry). Safety note.
Step 7 - RAG Pipeline
Seven-stage left-to-right flow: Documents -> Chunk -> Embed ->
Store (Vector DB) -> Query -> Retrieve (Top-K) -> Augment ->
Generate. Each stage with geometry and arrows. Chunking strategies.
Retrieval methods. Design applications.
Step 8 - Vector Databases
3-layer HNSW graph: Layer 2 (sparse, 3 nodes with long-range
connections), Layer 1 (medium, 6 nodes), Layer 0 (dense, 15 nodes
with local connections). Vertical navigation links. Query point.
Database comparison list (Pinecone through FAISS). Metadata
filtering. Complexity comparison.
Step 9 - Agents
Orbital agent loop: OBSERVE -> THINK -> ACT -> OBSERVE, with
GOAL sphere at centre. Arc connections between all four stages.
ReAct pattern walkthrough (Thought -> Action -> Observation).
Memory types. Multi-agent collaboration note.
Step 10 - Fine-Tuning
Pre-trained LLM (large frozen block) with LoRA adapter matrices
attached (<1% params). Training data arrow. Fine-tuned output.
RLHF alignment diagram: generate 3 responses, human ranks, train
reward model, optimise. When to / when not to fine-tune guide.
Step 11 - Multimodal AI
Central hub with four input modalities: Text (left), Image (top),
Audio (right), 3D Geometry (top-right). Three output types below.
Arrows connecting all inputs to hub and hub to outputs. Fusion
example. API usage for images.
Step 12 - AI Design Tools
Three-tier architecture: Grasshopper <-> Bridge (Hops/REST) <->
AI Backend (Python + LLM + RAG). Five example tool boxes below:
Design Copilot, Code Generator, Design Critic, Regulation Checker,
Optimisation Agent. Deployment options. Future vision.
KEY FEATURES:
Single file - one C# script, paste and go
12 interactive steps - slider-driven, instant 3D diagrams
1,479 lines - comprehensive AI/LLM coverage
218 annotated labels - highest density in the entire series
8 colour-coded material branches - visual clarity
Embeddings as 3D vectors - visualise semantic space in Rhino!
RAG pipeline as flowing geometry - see the data flow
Agent loop as orbital diagram - orbit the orbit
Bake to layers - organised Rhino layers with TextDot labels
Design context - every concept linked to Grasshopper tools
Zero plugins - just Rhino + Grasshopper
Rhino 7 and 8 compatible (Windows and Mac)
Code IS the textbook - read the source, learn to build with AI
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TARGET AUDIENCE
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Computational designers building AI-powered tools
Grasshopper developers adding LLM features to plugins
Architecture firms evaluating AI integration
Engineers building automated design workflows
Students learning to combine parametric design with AI
Plugin developers creating AI assistants for Rhino
Anyone who wants to understand how AI apps work
Design technologists bridging CAD and machine learning
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TAGS / KEYWORDS
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AI, LLM, large language model, GPT, Claude, transformer, attention,
tokens, embeddings, vector, cosine similarity, prompt engineering,
API, function calling, tools, RAG, retrieval augmented generation,
vector database, Pinecone, Chroma, HNSW, agents, ReAct, fine-tuning,
LoRA, RLHF, multimodal, vision, Grasshopper, Rhino, C#, RhinoCommon,
parametric, computational design, study guide, 3D, Hops, Python,
design copilot, code generation, AI tools
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PRICING
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Standalone $14.99
Dual Bundle (AI Apps + Machine Learning) $24.99
Dual Bundle (AI Apps + Python) $24.99
Dual Bundle (AI Apps + DSA) $24.99
Triple Bundle (AI Apps + ML + Python) $32.99
Mega Bundle (all 12 scripts) $84.99
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SOCIAL MEDIA COPY
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TWITTER / X (280 chars):
Learn AI-Powered Apps in Grasshopper 🤖 12 interactive 3D steps:
transformers, embeddings as 3D vectors, RAG pipelines, agents,
function calling. 218 labels, 1,479 lines. Zero plugins. Build
AI design tools - decoded.
INSTAGRAM / LINKEDIN:
What actually happens when you call an LLM API?
Embeddings scatter through 3D semantic space - similar words
cluster together, and you can SEE cosine similarity as distance
in Rhino. RAG pipelines flow from documents through chunks and
vectors to generation. Agent loops orbit around goals with
observe-think-act cycles. Token sequences become coloured blocks.
12 interactive steps. 1,479 lines. 218 annotated labels. One C#
script. Zero plugins.
From transformer attention to deploying Grasshopper copilots.
The densest product in the series.
Link in bio. #AI #LLM #Grasshopper #Rhino3D #RAG #Embeddings
#ComputationalDesign #AITools #MachineLearning #Agents
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THUMBNAIL SUGGESTIONS
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1. Step 3 - Embedding space with word clusters (most visually unique)
2. Step 7 - RAG pipeline flowing left to right
3. Step 9 - Agent loop orbital diagram
4. Step 1 - Transformer attention wire diagram
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CROSS-SELL SUGGESTIONS
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Learn Machine Learning ($14.99) - regression, neural nets,
gradient descent - the ML foundations AI apps build on
Learn Python ($14.99) - the language of AI backends, scikit-learn,
PyTorch, LangChain
Learn DSA ($14.99) - data structures powering vector databases
and retrieval systems
Learn Linear Algebra ($14.99) - vectors, matrices, transforms -
the math behind embeddings and attention
Learn Computational Geometry ($14.99) - spatial algorithms for
geometry-aware AI tools
Learn Design Patterns ($14.99) - software architecture for
building clean AI tool pipelines
Learn C# ($14.99) - language fundamentals for Grasshopper
component development
Learn Mesh Geometry ($14.99) - mesh data for 3D AI models
Learn Structural Analysis ($14.99) - simulation that AI
surrogates can accelerate
Learn Physics Simulation ($14.99) - Kangaroo internals
Learn Linux ($14.99) - server environments for AI deployment
Chateau Elegance v11 ($29.99) - production Grasshopper tool
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2026 Wickerson Studios - wickersonstudios.com
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