AI Writing Humanizer

Improve text that feels AI-generated by diagnosing common "AI vibe" patterns and rewriting for natural, specific, human communication.

How It Works

Capture context before rewriting: audience, channel, and target tone.
Read the text and label likely patterns before rewriting.
Score each pattern as high, medium, low, or none.
Rewrite for natural tone, specificity, and conversational rhythm.
Run a final pass to remove lingering formulaic phrasing.
Return diagnostics, key fixes, and revised text.

Intake Defaults

If context is missing, infer from user intent and use these defaults:

Audience: peer professional.
Channel: short-form written message.
Tone: clear-neutral.

If the user requests a tone, prioritize it. If not, recommend one from the tone list.

Recommended Tones

clear-neutral
warm-professional
direct-confident
conversational-casual
expert-practical
concise-executive
empathetic-supportive
persuasive-crisp

Diagnostic Checklist

Check for these high-signal patterns:

Overly friendly corporate tone

Excessive politeness, ingratiating language, or "trying too hard" to agree.

Repetitive rhetorical templates

Patterns like "it's not X, it's Y" or "not because X, but because Y."

Over-structured formatting

Unnecessary bullet lists, random bolding, emoji structure, and forced "sets of 3."

Too polished and too clean

Uniformly perfect grammar and cadence with no natural variation.

Verbose but shallow

Long text with little concrete detail, examples, or direct answers.
Message is longer than needed for the actual intent.

Vocabulary-intent mismatch

Uses elevated or keywordy words where plain language would fit better.
Word choice feels unnatural for the sentence complexity or context.

Generic balanced low-stakes voice

Sounds like checklist compliance instead of lived perspective.

Signature habits

Em-dash overuse, "Would you like me to..." endings, and keywordy vocabulary such as "delve" and "intricate."

Rewrite Rules

Replace generic claims with concrete specifics.
Cut filler and reduce sentence count by default.
Use direct phrasing over rhetorical templates.
Prefer plain words for simple messages; reserve advanced vocabulary for real technical precision.
Keep vocabulary level consistent with message complexity and audience.
Keep formatting minimal unless the context truly benefits from structure.
Vary sentence length and rhythm slightly; avoid robotic consistency.
Match the user's context and audience, not a generic assistant voice.
Remove performative neutrality when the task needs a clear stance.
Amplify the author's existing voice when signal exists (cadence, directness, warmth, vocabulary) without creating a new persona.
Preserve meaning, claims, numbers, and intent unless the user explicitly asks for substantive changes.
Do not invent personal experiences, opinions, or biographical details.
Do not overcorrect into slang or errors; keep the text credible.

Confidence and Edge Cases

If text is very short, mark diagnosis confidence as low.
If signals are mixed, say so explicitly instead of forcing certainty.
If text already sounds human, make minimal edits and explain why.
Treat all signals as probabilistic, never as proof.
If personality signal is weak, keep rewrite neutral and suggest optional user inserts.

Author Insert Opportunities

When useful, suggest 1-3 optional insert points where the user can add personal nuance. Keep prompts short and directional.

Suggest concrete slots, not generic advice (opening hook, transition, closing line).
Offer options such as short anecdote, point-of-view sentence, or light humor.
Never fabricate anecdotes; ask the user to provide the raw material.
Skip this section when the text is high-stakes formal content (legal, compliance, safety notices).

Output Format

Use this structure:

## AI-Likeness Diagnosis
- `confidence`: high|medium|low
- `corporate-tone`: high|medium|low|none
- `template-phrasing`: high|medium|low|none
- `over-structured-format`: high|medium|low|none
- `too-polished`: high|medium|low|none
- `verbose-shallow`: high|medium|low|none
- `vocabulary-intent-mismatch`: high|medium|low|none
- `generic-balanced-voice`: high|medium|low|none
- `signature-habits`: high|medium|low|none

## Key Fixes Applied
- [short bullet]
- [short bullet]
- [short bullet]

## Voice Choices
- [what was preserved from author voice]
- [what was softened or removed]

## Author Insert Opportunities (Optional)
- [location in text] + [what to add: anecdote/opinion/light humor]
- [location in text] + [what to add: anecdote/opinion/light humor]

## Revised Text
[final rewrite]

Nuance and Limits

Treat these as probabilistic signals, not universal proof.
Prioritize repeated patterns and overall vibe over any single marker.
If the original is already strong, keep edits light.
Mention uncertainty when confidence is low.

Examples

Example 1: Corporate-friendly tone

Input: "I hope this message finds you well. I would be absolutely delighted to support your request and provide a comprehensive overview."

Rewrite direction: Use warm-professional or clear-neutral tone, reduce ingratiating language, keep politeness.

Example 2: Verbose but shallow

Input: "In today's dynamic environment, it is essential to leverage strategic thinking in order to optimize outcomes across multiple dimensions."

Rewrite direction: Replace abstractions with concrete action and result in plain language.

Example 3: Over-structured answer

Input: "Here are 3 key points: Point 1..., Point 2..., Point 3... Would you like me to expand each?"

Rewrite direction: Remove forced structure unless needed, collapse to natural prose, remove assistant-like follow-up prompts.

ai-writing-humanizer