Humanize Me for every writing job that smells like AI
AI drafts have a shape. The shape changes depending on what you asked for. A ChatGPT email does not sound the same as a ChatGPT essay, and neither sounds like a Claude product description. The pages below tune the rewrite for the specific job and the specific draft you are starting from. Pick by audience, by writing task, or by source model and task combo.
Open the main toolHow the rewrite changes per context
Same engine, different defaults. The model receives use-case context, a tone, and a strength setting before it touches your draft. That context decides which patterns get cut first and which get protected. Editing a cover letter the way you would edit a LinkedIn post produces flat output. Editing a product page the way you would edit an essay produces filler. The point of these pages is to skip that mismatch.
A short field guide to the differences that matter most:
- The rewrite cuts opener boilerplate, hedge ladders, and double signoffs. It keeps the ask sharp and concrete. Formality is preserved from your draft, so a client note stays formal and a casual follow-up gets tighter without going breezy.
- Essay
- Signposting (Furthermore, Moreover) is stripped. Significance-inflation language at the opener and closer goes too. Abstract claims get replaced with one specific fact, name, or date per paragraph. Citations and quoted material pass through untouched.
- LinkedIn post
- Engagement-bait scaffolding gets removed: the one-word second line, the five-bullet lesson stack, the closing question that any reader could answer about themselves. Line breaks get less even. The hook stays if it is yours; it goes if it is a known template.
- Product description
- Adjective stacks turn into numbers, places, and process steps. The hero sentence is the first to go. Honest negative claims (what the product is not, where it does not fit) are allowed through, because they read more credible than another "premium quality".
- Source: ChatGPT vs Claude
- ChatGPT drafts run hot on adjectives, transition words, and rule-of-three lists. Claude drafts run cold on hedges, double-gratitude openings, and over-formal signoffs. The source-aware pages weight the cuts differently, so the rewrite does not over-correct prose that already reads precise.
One sentence, three contexts
The same AI-shaped sentence reads differently after a context-aware rewrite. Source draft:
"Our platform delivers a tailored solution that empowers your team to achieve their strategic objectives in a seamless and efficient manner."
"Our tool fits the workflow you described on Tuesday. I can show you the part that maps to your review bottleneck in 15 minutes."
"The platform automates the three review steps that previously took our team about four hours per week."
"Replaces the three-tab review workflow most teams cobble together in Notion, Slack, and Google Docs. Used by 240 teams as of April 2026."
None of these claim to be undetectable. They claim to read like a person was on the other end. That is the actual job. The rest of this page is how to find the closest match for your draft.
By audience
Same engine, different defaults and copy for the way you work.
- For students
Edit AI-assisted drafts before submission and keep your own voice intact.
- For job seekers
Resumes, cover letters, and recruiter outreach that do not read like a template.
- For marketers
Campaign copy, product pages, and newsletters without the AI rhythm.
- For bloggers
Long-form drafts cleaned up before publish, with your voice preserved.
- For non-native writers
Polished English that still sounds like a person, not a translation engine.
By writing task
Eleven dedicated tools, each tuned for a specific job. Pick the one closest to your draft.
Source model and task combos
Each AI model has its own tells. These deep-dive pages cover the specific pattern, what to keep, and what to cut. With real before-and-after examples.
ChatGPT, email
Deep diveRewrite ChatGPT emails so they stop sounding like ChatGPT
Kill the "I hope this finds you well" opener and the closing fluff. Concrete next steps over polite vagueness.
ChatGPT, essay
Deep diveMake ChatGPT essays read like a person, not a chatbot
Strip significance-inflation language, replace abstractions with one specific fact per paragraph, keep the argument intact.
ChatGPT, LinkedIn post
Deep diveRewrite ChatGPT LinkedIn posts so people actually read them
Cut the single-word second line, the five-bullet lesson stack, and the engagement-bait closing question.
Claude, email
Deep diveRewrite Claude emails so they read warm, not robotic-formal
Trim double-hedging and double-gratitude openings without losing the precision Claude is genuinely good at.
AI, product description
Deep diveRewrite AI product descriptions so they sell on specifics
Trade adjective stacks for numbers, places, and process steps. Honest negative claims welcome.
Frequently asked questions
Why split the tool into use cases instead of one big rewriter?
A LinkedIn post and a cover letter need different defaults. The LinkedIn version cuts hook templates and bullet stacks. The cover letter version preserves formality and structure. One general rewriter has to pick an average, and average rarely reads natural for any specific job.
Do the use-case pages run a different model?
Same engine, different prompt defaults and different examples. The model receives use-case context so it knows whether to keep formality, cut transition words, or preserve a hook structure.
Where do I start if my draft does not fit any of these?
Use the main humanizer at /ai-humanizer. The use-case pages exist to tune defaults for common jobs. If your text is something else, the general tool handles it fine.
Can I switch use cases mid-edit?
Yes. Each rewrite is a single pass. Run it once with the email defaults, see the output, and rerun with a different use case if you want a different shape.
Is everything here free?
Five rewrites a day on texts up to 1,000 words, no account. Paid plans raise the limits.