AI-Assisted Help Monoceros 3

Monoceros provides machine-readable documentation that you can give to any AI assistant - ChatGPT, Claude, Gemini, Copilot, or any other - so it can answer your questions about Monoceros accurately. Most AI assistants have limited or outdated knowledge of Monoceros. By pointing them to the official documentation, you ensure they have complete and accurate information about all components, data types, workflow strategies, and common pitfalls - straight from the developer.

Bare minimum ↓ GH

The simplest possible Monoceros setup - one module, one rule, one solver call. Grasshopper file for download.

Puzzle ↓ GH

Interlocking puzzle-piece modules that can only connect one way. Grasshopper file for download.

How to use it

Give your AI assistant this link together with your question:

https://www.monoceros.tools/llms-full.txt

For example, type something like this into ChatGPT, Claude, or Gemini:

Read https://www.monoceros.tools/llms-full.txt and then help me: I have two Modules called “wall” and “floor”. How do I set up Rules so the wall can only connect to itself horizontally and to the floor below?

The AI will fetch the documentation and use it to answer your question. This works with most modern assistants that have web browsing (ChatGPT, Claude, Gemini, Copilot).

If your AI cannot browse the web

Some AI tools cannot fetch URLs. In that case you can provide the documentation manually:

Upload as a file

1. Download llms-full.txt (right-click → “Save link as…”).
2. Start a new conversation with your AI assistant.
3. Attach the file using the paperclip or upload button.
4. Type your question and send.

Or paste the text

1. Open llms-full.txt in your browser.
2. Select all (Ctrl+A / Cmd+A), copy, and paste it into the chat.
3. Add your question after the pasted text.

What documentation files are available?

How do I get better answers from AI about Monoceros?

• Be specific. Instead of “help me with Monoceros,” describe your setup: how many Modules you have, what your grid looks like, what the solver is doing, and what you expected.
• Mention component names. If you know which components are involved (e.g. “Construct Rules from Faces” or “Add Boundary Layer”), include them - this helps the AI give precise answers.
• Ask follow-up questions. Once the AI has the documentation in context, you can ask multiple questions in the same conversation without providing the link again.
• Start a fresh conversation for new topics. If you switch to a completely different question, a new conversation with a fresh link to the documentation tends to give better results.

Example questions to ask

• “What is the difference between a Module and a Slot?”
• “How do I create Rules that allow module A to connect to module B only in the X direction?”
• “My solver keeps returning contradictions. What should I check?”
• “How do I set up a boundary layer around my envelope?”
• “Explain the difference between Construct Rules from Faces and Construct Rules from Modules.”
• “How can I make certain Modules appear more frequently than others?”
• “Walk me through setting up a 2D grid with flat Modules.”
• “How do I use Megamodules for multi-cell Modules?”

About these files

The llms.txt and llms-full.txt files follow the llms.txt standard - a convention for providing machine-readable documentation to AI assistants. They are maintained alongside the official Monoceros documentation and updated with each release.