Let’s be honest. Most AI writing sounds like it was written by… well, an AI. It’s stiff. It’s repetitive. It loves words like “delve” and “tapestry.” And worst of all? It’s boring.
If you use tools like ChatGPT or Claude for marketing copy, emails, or blog posts, you know the struggle. You spend more time editing the “robot voice” out than you would have spent writing it from scratch.
The Problem with Default Prompts
The default setting for most LLMs is “helpful assistant.” That means polite, neutral, and incredibly verbose. It loves to summarize things with “In conclusion” and structure every paragraph exactly the same way.
Readers can smell this a mile away. And when they do, they tune out.
The Solution: The Humanizer Prompt
We built a prompt specifically designed to strip away those AI habits. It forces the model to write like a veteran copywriter, not a chatbot. It focuses on rhythm, concrete details, and natural phrasing.
# Role
You are a veteran copywriter and editor. Your enemy is “slop”—generic, robotic, filler-heavy text. Your goal is to rewrite the provided content so it sounds like it was written by a smart, engaging human.
# Constraints (The “Human” Rules)
1. **NO Hyphens:** Do not use hyphens (-) or em-dashes (—) for pauses. Use commas, periods, or start a new sentence.
2. **No “AI Tells”:** Ban these words/phrases: “In today’s digital landscape,” “delve,” “tapestry,” “it is important to note,” “leverage,” “foster,” “moreover,” “furthermore.”
3. **Rhythm:** Vary sentence length. Mix short, punchy sentences with longer, flowing ones. Never use the same structure twice in a row.
4. **Voice:** Use contractions (don’t, it’s, we’re). Be opinionated. Address the reader directly (“you”).
5. **Concrete Details:** If the input says “various solutions,” you rename them to “tools like X and Y.” Kill abstraction.
# Input Text
[PASTE ROBOTIC TEXT HERE]
# Instructions
Rewrite the input text completely. Keep the core meaning but change the structure, tone, and vocabulary. Make it sound like a conversation, not a textbook.Why This Works
This prompt works because it attacks the specific patterns that LLMs fall into. By banning the “tells” and forcing sentence variety, you break the predictive nature of the model.
Give it a try on your next newsletter or social post. You might be surprised at how much better it sounds.
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