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How to Use the 'AI Duke It Out' Method to Improve Stubborn Model Outputs

When a single AI model is stuck or not providing the output you want, use this simple but effective technique. Make two different AI models compete against each other to produce a more accurate and refined result.

From How I AI

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with Claire Vo

How to Use the 'AI Duke It Out' Method to Improve Stubborn Model Outputs

Tools Used

Claude

Anthropic AI assistant

Gemini

Google AI assistant

Step-by-Step Guide

1

Identify a Problematic Output

Start with a situation where an AI model (e.g., Claude) is giving you an incorrect or undesirable output despite several attempts to refine your prompt.

2

Prepare Your Evidence

Collect three key pieces of information: 1. The original input or prompt you gave the first AI. 2. The unwanted output the first AI produced. 3. A clear example of the desired output you were trying to achieve.

3

Engage a Second AI Model

Open a chat with a different AI model (e.g., Gemini). You will present your evidence to this second model to get a fresh perspective.

4

Frame the Competition

Present the context to the second AI. Explain that the first model failed and ask it to perform better by providing the correct output based on your examples.

Prompt:
Gemini, look at this garbage Claude gave me! My input was [Your Original Input], and it gave me [Unwanted AI Output]. The output I actually want is [Your Desired Output]. Surely you can do better. Please provide the correct response.
Pro Tip: Using a slightly competitive or 'neg-ing' tone can sometimes encourage the second model to be more critical of the first model's errors and more precise in its own response.

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