{"id":3646,"date":"2026-08-14T14:51:40","date_gmt":"2026-08-14T17:51:40","guid":{"rendered":"https:\/\/idegasperi.com\/?p=3646"},"modified":"2026-08-28T18:02:27","modified_gmt":"2026-08-28T21:02:27","slug":"gauntlet-loop-ia-sem-criterio","status":"publish","type":"post","link":"https:\/\/idegasperi.com\/en\/growth-receita\/the-gauntlet-loop-has-no-criteria\/","title":{"rendered":"Gauntlet Loop: AI without criteria just repeats the mistake faster"},"content":{"rendered":"
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The team produces campaigns in hours.<\/span><\/p>

Build a landing page in the morning, fifteen ads before lunch, and a market analysis at the end of the day.<\/span><\/p>

The volume increased. The speed did too.<\/span><\/p>

But the review keeps taking forever. The message changes from one piece to another. The form captures data that sales doesn't use. The campaign promises one thing and the page explains another. When the material reaches leadership, a sequence of adjustments that no one had anticipated begins.<\/span><\/p>

AI delivered more.<\/span><\/p>

This does not mean that they delivered better.<\/span><\/p>

The bottleneck is shifting. For years, the problem was producing. Now, in many operations, the problem is defining what deserves to be published.<\/span><\/p>

In the article about <\/span>Vibe Marketing<\/span><\/a>, I discussed the new way of producing with AI, with faster cycles and a different relationship between idea and execution. Here, the discussion is different.<\/span><\/p>

If producing became cheap, who protects the standard?<\/span><\/p>

The next AI leap in marketing does not come from a more ingenious prompt. It comes from a system that separates production, judgment, and evidence. And that knows where the evaluation of the artifact ends and the market response begins.<\/span><\/p>

This is where the Gauntlet Loop deserves attention.<\/span><\/p>

Not as a magic formula.<\/span><\/p>

As a management provocation.<\/span><\/p>

What is the Gauntlet Loop<\/b><\/h2>

"Gauntlet Loop" is the name Matt Shumer began using to describe the process employed in the experiment <\/span>Claude of Duty<\/span><\/a>, a first-person shooter created using an AI agent framework.<\/span><\/p>

According to Shumer's account, a primary agent received a goal and a concrete quality reference. Then, it broke the work down into smaller parts, distributed the construction among agents, and placed each part before independent critics.<\/span><\/p>

The process followed this logic:<\/span><\/p>

  1. Set a goal.<\/span><\/li>
  2. Present a concrete reference of what quality means.<\/span><\/li>
  3. Divide the work into parts that can be evaluated separately.<\/span><\/li>
  4. Assign each part to a building agent.<\/span><\/li>
  5. Use another agent, with separate context, to evaluate the result.<\/span><\/li>
  6. Compare the artifact with the reference.<\/span><\/li>
  7. Identify the biggest difference.<\/span><\/li>
  8. Correct and re-evaluate.<\/span><\/li><\/ol>

    Shumer summarizes the core of this dynamic in four steps:\u00a0<\/span><\/p>