# Why 50 Prompts Beat One "Favorite" Prompt

## The Core Problem with a Single Prompt

Testing one prompt tells you how the model performs on **one task, phrased one way**. That's a single data point — and it's vulnerable to:

- **Luck**: The model may have nailed (or flubbed) that specific example by chance
- **Overfitting to your workflow**: Your favorite prompt may reflect your style, not typical use
- **Hidden biases**: You may have unconsciously kept the prompt because it worked once

## What 50 Prompts Reveal

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