Mr. Moe’s Prompting Guide

A Dual-Layer Language Instruction System for AI Prompting

Mr. Moe’s Prompting Guide is an experimental AI prompting manual built around one simple idea:

Humans should be able to read instructions clearly, and machines should be able to parse them reliably.

This guide introduces a Dual-Layer Language System that combines plain natural language with structured, machine-readable formatting. The goal is to reduce confusion, hallucination, hidden assumptions, and instruction drift when working with AI tools.

Inside, you’ll find a practical framework for:

• Writing prompts in a human-readable layer and a parsable layer
• Defining “Forms of Nothing” such as null, empty, missing, undefined, blank, ignored, and false
• Using command structures like @Action@(Condition)
• Preventing accidental command activation with suppressor frames like @(content)
• Locking word meanings with Word Focus Control
• Resolving conflicts between human intent and machine interpretation
• Tracking errors during AI instruction tests
• Using the “AI Doctor Method” to debug failed prompts

This is not a finished standard. It is a working proposal, testbed, and practical reference for anyone interested in AI prompting, instruction design, human-AI collaboration, or workflow structure.

The guide also includes early RAIS / Railroad AI System preservation material, describing AI collaboration through tickets, stops, branches, checkpoints, audits, and handoffs.

Use what helps. Discard what does not. Test, break, and report.

Created by Mr. Moe / Mario R. Oliveira. The guide identifies itself as an experimental first edition and grants permission for individuals, educators, researchers, and developers to read, share unchanged, study, and test the system while preserving authorship credit.

Suggested short blurb

A practical experimental guide for making AI prompts clearer, more structured, and easier to debug. Includes the Dual-Layer Language System, Forms of Nothing, command syntax, conflict resolution rules, and the AI Doctor Method.