Detector-aware revision
Adjusts rhythm, transitions, and repetitive phrasing, not just individual word choices.
TurnitPass-1
TurnitPass-1The model behind natural writing revision.
TurnitPass-1 revises AI-assisted drafts so meaning, citations, and intent stay intact, while AI-like writing signals become easier to review.
MODEL SPECIFICATIONTurnitPass-1v1.0
- Quality review
- Every release
- Tool languages
- 3
Meaning, evidence, rhythm and readability
English, Simplified Chinese, Traditional Chinese
Capabilities
Trained around the checks writers actually run.
Meaning preservation
Names, dates, citations, claims, and source-sensitive details stay stable, so the revised draft remains usable.
Same-language output
English, Simplified Chinese, and Traditional Chinese drafts are revised in place. The language setting controls tone rules, not translation.
Example
Less template-like, without losing the argument.
Technology is important in education because it provides many benefits to students and helps them learn more efficiently in the modern world.
Technology can support learning when it gives students better access to sources, feedback, and organization tools. Its value depends on how students use it to build their own understanding, not simply on having more software in the classroom.
Review signalsAI-like signalLowerSentence varietyHighMeaning preservedYes
Detector-style review signals across common workflows.
The evaluation runs AI-assisted drafts from academic, marketing and general writing, then checks whether the output is easier to inspect and revise.
| Review target | Observed result | Notes |
|---|---|---|
| GPTZero-style checks | Lower signal | Lower predictability and repetition after revision |
| Originality-style checks | Clearer revision | Reduced sentence uniformity and generic transitions |
| Academic review context | Needs review | Academic phrasing stays specific and cited |
| Chinese academic checks | Language-aware | Simplified and Traditional Chinese rhythm rules applied |
| Quality review | Reviewed | Meaning and evidence preservation review |
Methodology01 02 03 04
A repeatable evaluation loop, reviewed release by release.
Collect drafts
Source AI-assisted writing from essays, blog posts, product copy, emails, and Chinese academic drafts.
Revise
Run TurnitPass-1 while preserving claims, citations, names, and structure.
Review
Check predictability, repetition, and rhythm before shipping.
Review quality
Check that meaning, source details and readability all survive the revision.
Evaluated before every release.
Each model update is quality-reviewed before it reaches the web workspace or API.
v1.0Live
TurnitPass-1
First production release for AI-assisted draft revision, same-language processing, and review-ready signal checks.
v0.9Last cycle
Citation lock
Improved preservation for inline citations, numbered references, names, dates, and quoted source details.
v0.8Earlier
Chinese rhythm pass
Added separate Simplified Chinese and Traditional Chinese revision rhythm checks for academic-style drafts.
v0.7Earlier
Detector margin review
Refined revision quality around predictability, repetition and sentence variety.
Available where revision happens.
TurnitPass-1 powers the workspace and API for writing revision, AI-signal review, and review-ready output.
Humanizer
Paste or upload a draft and compare the original and revised text side by side.
AI Detector
Check AI-writing signals before and after revision in the same workflow.
API
Embed revision and detection workflows in your product with an API key.
Frequently asked questions
Is TurnitPass-1 a translation model?
No. The selected language tells the model how to revise writing in that language. It does not translate by default.
Does it guarantee a specific detector result?
TurnitPass-1 is built to produce revisions that hold up on the Turnitin AI detector. If a delivered rewrite is flagged, the Pass Guarantee covers free re-runs until it clears, or restores the words that rewrite used.
Can developers use it?
Yes. The API exposes the Humanizer, AI Detector, and usage tracking for product teams.