Sources
Every AI Model
Has a Tell.
Each model is trained differently and leaves different patterns. ChatGPT hedges. Claude overuses em dashes. Gemini defaults to lists and headers. Generic humanizing misses them. HumanTone targets the specific signals each model leaves behind.
- 6 models. Pattern removal targeted to each source.
- Real semantic rewriting. No tricks.
- AI detection scores lowered significantly.
Humanizer
Source: ChatGPT draft for a B2B blog post
Tone: direct, no hollow affirmations or hedging
Avoid: "certainly," formulaic preambles, bullet defaults
Audience: marketing managers at mid-market companies
Why Source Matters
The Model That Generated It
Left Its Fingerprints.
Consistent Fingerprints
Each model's training produces the same patterns in every document it generates, regardless of the topic or the writer's intent. ChatGPT hedges in the same way on a product description as on a case study. Claude adds commentary about its own output on a blog post the same way it does on a business proposal. The patterns are reliable because they are structural, not topical.
Pattern Before Content
Editors and AI detectors respond to structure and register before they engage with the content itself. A document that opens with "Certainly! In today's rapidly evolving landscape" has already been identified before the first real sentence. The source pattern signals before the meaning does. Removing the pattern changes how the document is received before a single claim is evaluated.
Targeted Rewrites
Generic humanizing removes surface markers. Targeted rewriting removes the actual patterns. The difference is in what Custom Instructions specify: hollow affirmations for ChatGPT, em dashes for Claude, header defaults for Gemini. The right instruction set removes what the model actually does, not just what AI writing generally does. The result shows in detection scores and in how the copy reads to a professional audience.
All Sources
Pick the Model.
Target the Right Patterns.
Each page covers the four patterns specific to that model, with Custom Instructions examples.
Humanize ChatGPT Text
Competent drafts with consistent tells. Hollow affirmations, formulaic openers, and the fingerprint of a helpful assistant trained to please.
Hollow affirmations, formulaic openers, default bullet structure.
Humanize Claude Text
Fluent and carefully constructed, with the most distinctive signature patterns of any AI model currently in wide use.
Em dash overuse, meta-commentary, reflexive both-sides hedging.
Humanize Gemini Text
Carefully structured content that defaults to the same formatting choices regardless of what the piece actually needs.
Header defaults, repetitive summaries, corporate vocabulary patterns.
Humanize DeepSeek Text
Thorough analytical output structured for reasoning tasks, not for the reader receiving the finished document.
Academic preambles, numbered sections, chain-of-thought framing.
Humanize Grok Text
Lively and opinionated, with personality and register shifts that break the frame of professional copy.
Register inconsistencies, forced wit, unexpected tone shifts.
Humanize Perplexity Text
Comprehensive output that covers everything and attributes every claim, reading like a search result rather than a finished piece.
Encyclopedic scope, citation hedging, neutral reference tone.
Custom Instructions
Same Tool. Different Target
Per Model.
Custom Instructions define the patterns to remove for each source and the register to replace them with. Write them once per model. Apply them to every document from that source.
One instruction set per source. Saved per project. Reapplied automatically on every rewrite.
FAQ
Questions About
Rewriting by Source.
How HumanTone targets the patterns each model actually leaves behind.
Content That Sounds Human.
Published Faster.
Start with 1,000 free words. No credit card. See the result in seconds.