🏴‍☠️ Fix robotic AI text with entropy

Semantic entropy fixes cadence

Author

Captain YAR
February 23, 2026 • Estimated Reading Time: 6 minutes

Most prompts focus on what the AI should say, but we often forget to tell it how to structure the rhythm.

We usually get text that feels flat because models default to average sentence lengths. However, u/Shoddy-Strawberry-89 shared a fascinating technique on r/PromptEngineering called “Semantic Entropy Control” to break that monotony. I found this approach refreshing because it targets the syntax rather than just the vibe.

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Quick Start

  • Goal: Eliminate the “AI accent” by varying sentence structure.

  • What you need: Any LLM (ChatGPT, Claude, Gemini).

The Old Way vs. The Entropy Way

Standard prompting usually results in “low entropy” text. This means the AI plays it safe, generating sentences that are grammatically perfect but rhythmically boring. It’s a dead giveaway for AI detectors.

The author’s method forces “High Entropy.” By demanding a mix of sentence structures, you replicate the chaotic, engaging flow of human writing.

Step-by-Step Guide

1. Prompt for Structural Variety

The core of this strategy is a specific instruction regarding sentence length and complexity. The creator suggests using this exact phrase in your system instructions or prompt:

“alternate between short, punchy declarative sentences and complex, multi-clause explanations.”

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2. Save as a Voice Profile

Once you find a rhythm that works, you don’t want to type it out every time. The original poster uses a tool called “Prompt Helper” to save these instructions as “Voice Profiles.”

Why it matters: This allows you to apply the “High Entropy” filter to any draft instantly, ensuring consistency across your brand voice without rewriting the prompt from scratch.

Next Steps

Try applying this “High Entropy” concept to your next email or blog post. You can even tweak the prompt to specify ratios, like “mostly short sentences with occasional long explanations,” to see how it shifts the tone.

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