GRM Prompt Templates for AI Integration
Structured prompts using SPU, SAU, and SVU
In this document, I provide a ready-to-use set of prompt templates for integrating the Geometric Ratio Model (GRM) into AI workflows using models such as ChatGPT, Claude, and GitHub Copilot.
The templates help with fixed GRM ratio logic using SPU, SAU, and SVU, while maintaining dimensional consistency across geometry, modeling, and education. Whether you are an AI engineer, educator, designer, or developer, this guide supports correct and consistent GRM application in practical tooling.
What’s inside
- 5 prompt categories: Educate, Calculate, Verify, Teach, Integrate
- structured instruction prompts for common GRM use cases
- standardized terminology for GRM-compliant interactions
- usage conditions aligned with the GRM Open Usage Framework
- role-based prompt structure for agents and assistants
Who is this for?
- AI prompt engineers: embed GRM into GPT workflows and structured chat interactions
- developers: apply GRM logic in Copilot or plugin-based systems
- educators: teach geometry using fixed-ratio reasoning
- analysts and QA: validate geometric outputs based on GRM rules
- designers: explore proportionally grounded modeling without π
Publication details
Document: GRM Prompt Templates for AI Integration (v1.0)
Author: M.C.M. van Kroonenburgh, MSc
Released: May 2025
i-Depot registration: 151927 (BOIP)
This is a living document
Future versions may include:
- visual figures (SPU, SAU, SVU)
- example AI outputs
- JSON output formats and schemas
- plugin-ready formats for Copilot and API workflows
Access and licensing
For licensing inquiries or implementation partnerships, contact: info@inratios.com