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Free Skill. Methodology + Template ready to install

Gauntlet Loop: stop accepting the AI's version just because it said it improved.

The Gauntlet Loop is a method and a free skill for ChatGPT and Claude that separates the builder from the evaluator in any AI-generated deliverable. Without this separation, the AI approves what it produces, even without real criteria.

  • Separate construction and evaluation in any AI deliverable
  • Use a real reference and fixed criteria, with cost and cycle caps
I want to apply this method →
Free. It works on ChatGPT and Claude. And it works without installing anything, if you prefer.
LOOP CONTRACT
Objective and reference defined before the round.
ISOLATED CRITIQUE
Isolated context, without knowing who built it.
Divide→Build→Judge→Repeat
THREE SIGNS TO WATCH

AI delivers more. It doesn't deliver better.

SIGNAL 1

The vote turned
automatic

The team produces more content in less time. The review does not keep pace, because the person who builds also signs off on the verdict. The model claims it has improved, and no one checks this against an external standard.

SIGNAL 2

More effort doesn't necessarily mean better results

Delivery volume and decision quality are not the same metric. An agent that reviews its own page before publishing creates a feeling of control, but alone it guarantees neither pipeline nor revenue. What sustains the decision is comparison against a real reference.

SIGNAL 3

Not every decision calls for this method

The loop works when there is a concrete reference point for comparison, and the result can be verified through observable evidence. In irreversible decisions involving incomplete information or high risk, it supports human judgment rather than replacing it.

WHAT YOU RECEIVE

A method for understanding. A ready-to-run package.

There are four files. The method explains why separating those who build from those who evaluate changes the outcome of a deliverable made with AI. The templates make the first cycle ready to run today, without paid tools and without additional setup.

HOW IT WORKS
01Objective
→
02Construction
→
03Critique
→
04Correction
SKILL

Gauntlet Loop

Install it as a skill on Claude or paste it as a command into ChatGPT—it already includes the contract and ratchet.

GUIDE

Application guide

Step-by-Step Guide to the First Round: What to Decide First, What to Ask the Judge, and How to Interpret the Verdict.

TEMPLATE

Completed contract

Complete example, with objective, gating criteria, budget, and stopping condition, ready to adapt.

TEMPLATE

Round Log

Template to record verdict, main gap, and evidence for each cycle, making the history auditable.

FREE ACCESS

Does your AI process have criteria or just speed?

Apply the first cycle to an actual asset from this week: a webpage, a proposal, or a report that is already in production.

✓
Your data remains yours. Leave whenever you want.
✓
The skill does not collect or transmit usage information.

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FREQUENTLY ASKED QUESTIONS

Before downloading, what usually raises questions

What is the Gauntlet Loop, in practice?
It is a method (with a skill and ready-to-use templates) that separates whoever builds a deliverable with AI from whoever evaluates that deliverable, in isolated contexts, against criteria defined prior to execution. The goal is to prevent the AI from approving its own work without an external standard of comparison.
Is it really free?
Yes. The complete package (skill, application guide, model contract, and round record) is free, distributed under a CC BY 4.0 license.
Does it work on ChatGPT and Claude?
Yes. In Claude, it installs as a skill. In ChatGPT (or any other model), it works by pasting the instruction directly into the conversation, without needing a plugin or additional configuration.
Do I need to install anything?
It is not mandatory. Installation as a skill is the most direct way to use it in Claude, but the method works the same by pasting the contract and instructions manually into any model.
What comes in the package?
Four files: the Gauntlet Loop skill, the application guide for the first cycle, a filled-out contract template (objective, gating criteria, budget, and stopping condition), and a round log template to keep the history of each cycle auditable.
Does the skill collect or send data about my usage?
No. The skill does not collect or transmit any information about how you use it. Your data and the content you process remain yours.
When is this method not recommended?
The loop works when there is a concrete reference to compare the result and observable evidence to judge the verdict. In irreversible decisions, with incomplete information or high risk, it supports human judgment, but does not replace it.
Is this different from simply asking the AI to review its own work?
That is exactly the problem the method solves. Asking the same context to review what it just produced tends to approve its own work. The Gauntlet Loop requires real isolation between whoever builds and whoever critiques, with fixed criteria defined before the round, not after.