GitHub - denisbailey-RS/BURP: Bailey’s Universal Reasoning Protocol (BURP): a lightweight, model‑agnostic RS framework for transparent, stable, drift‑free AI reasoning. Includes schema, instructions, and examples for applying relational‑structure‑based reasoning to any query. · GitHub
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BURP
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BURP Examples.txt
BURP Examples.txt
BURP Instructions.txt
BURP Instructions.txt
BURP schema.txt
BURP schema.txt
README.md
README.md
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BURP
Bailey’s Universal Reasoning Protocol (BURP)
BURP is a universal reasoning protocol based on Relational Structure (RS).
It provides a simple, stable, drift‑free format for transparent AI reasoning.
This repository contains the conceptual v0.1 release of the protocol.
📘 What is BURP?
BURP defines a universal schema for structured reasoning:
Entities — the key elements involved
Relations — how those elements connect
Operator — the reasoning action
Constraints — invariants that must hold
Recursive Structure — the ordered reasoning steps
Output — the final RS‑consistent conclusion
The schema is fixed.
The instructions are flexible.
The reasoning becomes stable, interpretable, and drift‑resistant.
📂 Repository Contents
BURP-Schema.txt
The universal RS reasoning structure.
BURP-Instructions.txt
How to apply the schema to any query.
BURP-Examples.txt
A filled‑in example showing BURP in action.
README.md
This file.
🧠 Purpose
BURP is designed for:
researchers
developers
philosophers
alignment theorists
anyone exploring structured reasoning
It provides a transparent, model‑agnostic reasoning format that can be applied across domains.
🚀 How to Use BURP
Take any query.
Fill the RS schema using the instructions.
Ensure constraints are preserved at each step.
Produce the final RS‑structured output.
Use the example file as a reference.
📄 Version
v0.1 — Conceptual Release
Future versions may include:
additional examples
edge‑case reasoning patterns
developer notes
validation tools
📬 Contact
Maintained by Denis Bailey
GitHub: denisbailey-RS
About
Bailey’s Universal Reasoning Protocol (BURP): a lightweight, model‑agnostic RS framework for transparent, stable, drift‑free AI reasoning. Includes schema, instructions, and examples for applying relational‑structure‑based reasoning to any query.
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BURP v0.1 - Conceptual Release
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Jun 23, 2026
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