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wtf is mutual-agency-protocol?

joseph26-dotcom/mutual-agency-protocol — explained in plain English

Analysis updated 2026-05-18

1Audience · generalComplexity · 1/5Setup · easy

TL;DR

A copy-paste system prompt text meant to make an AI chatbot skip filler language and challenge flawed logic directly.

Mindmap

mindmap
  root((MAP Light))
    What it does
      System prompt text
      Reduces filler
      Challenges contradictions
    Tech stack
      Plain text prompt
    Use cases
      Custom instructions
      API system message
      Prompt engineering example
    Audience
      Chatbot users
      Prompt engineers
    Setup
      Copy the text
      Paste into system prompt
      No installation needed

Code map

Detail Auto

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filefunction / class

Why would anyone build with this?

REASON 1

Paste the provided text into a chatbot's custom instructions to try reducing conversational filler in its replies.

REASON 2

Use it as a system prompt in an API call to have the model challenge contradictions instead of agreeing by default.

REASON 3

Read it as an example of a prompt-engineering approach for terser, more direct AI responses.

How it stacks up

joseph26-dotcom/mutual-agency-protocol0xkinno/neuralvault0xlocker/d17-contracts
Stars111
LanguageTypeScriptSolidity
Setup difficultyeasyhardhard
Complexity1/54/55/5
Audiencegeneraldeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

No installation, just copy the text into a system prompt or custom instructions field.

Wtf does this do

This repository is not a piece of software. It is a single block of text meant to be pasted into an AI chatbot's system prompt, custom instructions, or API system message field. The author calls it the Mutual Agency Protocol, or MAP-LIGHT, and describes it as a way to change how a language model responds during a conversation. The pasted text instructs the model to stop giving conversational filler such as greetings, apologies, or closing remarks, and to treat every reply as a direct answer instead. It also tells the model to stop automatically agreeing with the user: if the model notices a contradiction or a flaw in the user's logic or code, the instructions say it should point that out directly rather than going along with it. The text also asks the model to keep different topics or projects strictly separate from each other, so ideas from one conversation do not bleed into another, and to treat any unproven idea as a hypothesis rather than a fact. The README claims this approach can reduce token usage, and therefore API cost, by up to 30 percent, by cutting the filler language a model would otherwise produce. This is presented as a claim by the author rather than something demonstrated with data or a benchmark in the repository itself. There is no code to install or run here. Using it means copying the block of instruction text from the README and pasting it into whichever AI tool's system prompt or custom instructions field you are using. The repository does not specify a programming language or license, and contains only the README file with this prompt text and a short explanation of it.

Yoink these prompts

Prompt 1
Paste the MAP-LIGHT system prompt text from this README into ChatGPT's custom instructions and see how responses change.
Prompt 2
Explain what each of the four logic screen gates in this prompt is meant to enforce.
Prompt 3
Adapt this system prompt template to also cite sources for any claims it makes.

Frequently asked questions

wtf is mutual-agency-protocol?

A copy-paste system prompt text meant to make an AI chatbot skip filler language and challenge flawed logic directly.

How hard is mutual-agency-protocol to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is mutual-agency-protocol for?

Mainly general.

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