Privacy-first open-source interface demo for AI humanizer, humanize text, text humanizer, Chinese writing tools and AI writing style review
A public frontend demo for AI text style review and natural writing workflows. The repository shows the interface, responsive layout, SEO structure and privacy boundary. It does not publish production prompts, rewrite rules, model calls, scoring logic, databases or commercial configuration.
Many AI writing tools are presented as a black box. You paste text, click a button, and hope the page does something sensible.
This repository opens a narrower layer: the frontend. It shows how a small AI writing product can explain itself, keep the interaction simple, and state its limits without exposing the private implementation behind a production service.
The boundary is deliberate:
PUBLIC REPOSITORY
-> landing page
-> responsive editor interface
-> character counter
-> local-only demo interaction
-> SEO documentation
NOT INCLUDED
-> production prompts
-> rewrite strategies
-> model provider calls
-> scoring or ranking logic
-> database and license system
-> deployment configuration
For example, enter a paragraph and click Run demo. The page displays a fixed sample response. It does not upload your text and it does not pretend that the sample came from a hidden algorithm.
| Area | Included | Notes |
|---|---|---|
| AI writing tool landing page | Yes | Hero, keywords, CTA, project scope and FAQ |
| Text editor workspace | Yes | Mode selection, text input, counter, clear button and demo result |
| Responsive design | Yes | Desktop and mobile layout |
| Privacy-first interaction | Browser-only demo with no API request | |
| SEO metadata | Yes | Description, keyword coverage, Open Graph metadata and README structure |
| Production text processing | No | Intentionally private |
| Prompt engineering rules | No | Intentionally private |
| Server, database and billing | No | Intentionally private |
The public edition has one job: demonstrate the product interface without leaking the product engine.
User enters text
|
v
Browser updates local character count
|
v
User clicks "Run demo"
|
v
Browser shows a fixed, clearly labeled placeholder example
There is no network request in that flow.
This matters. A frontend demo should be inspectable. If someone searches the source for fetch, a private API endpoint, model credentials or a worker URL, they should find none of them.
The page uses the familiar text-tool pattern: input on the left, scope notes on the right, and a result area below the editor. It is easy to understand in a few seconds.
Typing updates the character counter in the browser. Clicking the button shows a fixed sample. No analytics script, ad script, login system or backend endpoint is bundled into this repository.
The page says exactly what happened. It does not quietly return a canned answer and let visitors assume the code contains a production AI pipeline.
The README includes terms developers and product builders commonly use when researching this category:
AI humanizerhumanize texttext humanizerAI writing style reviewChinese writing toolsnatural writing workflowAIGC text stylefrontend demoprivacy-first writing tool
The repository includes a small verification script. It fails when files or strings associated with private backend code appear in the public directory.
For example, if a future edit accidentally adds a production API path, npm test stops immediately and reports the offending file.
No installation is required for the UI.
Open index.html in a browser.
npm testExpected output:
公开仓库检查通过：... 个文件，未发现私有处理逻辑或生产配置。
ai_promptrule/
├── index.html # public page structure and SEO metadata
├── styles.css # responsive layout and visual system
├── app.js # local-only placeholder interaction
├── scripts/
│ └── verify-public-demo.mjs # private leak check
├── ARCHITECTURE.md # file responsibilities and decisions
├── CONTEXT.md # current public project status
├── LICENSE # MIT license
└── README.md # project documentation
The interface is intentionally calm: trust-blue accents, light borders, readable cards and a direct demo area. The goal is not to recreate a full dashboard. It is to make the public scope obvious.
| Design choice | Reason |
|---|---|
| Blue primary color | Familiar for productivity and SaaS interfaces |
| One-page structure | Search visitors can understand the project quickly |
| Browser-only demo | No accidental text upload |
| Clear public/private cards | Readers know what is open source and what is not |
| Reduced-motion support | Basic accessibility for users who prefer less animation |
This project is a frontend reference, not a source dump of a commercial service.
Do not add:
- real prompts or rewrite recipes
- private model routing
- API keys or environment variables
- production domains or analytics identifiers
- database files
- payment, license or account implementation
- backend worker code
Before publishing changes, run:
npm testNo. It is an open-source frontend demo. The page illustrates a natural writing workflow, but production text processing is intentionally absent.
No. The public JavaScript contains no API request. Text remains in the current browser page.
No. The public project is framed as a writing-style interface demo. It does not include detector bypass logic or claims that it can defeat academic review systems.
Those are common category keywords. They help developers find a relevant frontend reference when researching AI writing products.
Yes. The frontend code is published under the MIT license. Keep your own backend, credentials and product logic outside the public repository.
The project documentation was shaped after reviewing public references. This section avoids repeating the same research later.
| Source | Link | Useful observation |
|---|---|---|
| skills.sh AI Humanizer | skills.sh/smithery/ai/ai-humanizer | Category language includes AI patterns, robotic text and natural-sounding revision |
| blader/humanizer | github.com/blader/humanizer | A strong README explains the goal early and includes concrete usage examples |
| GitHub humanize-text topic | github.com/topics/humanize-text | Useful repository topics include ai-humanizer, humanize-text, writing-tools and text-humanizer |
- Static landing page
- Responsive editor demo
- Local-only placeholder interaction
- SEO metadata
- Detailed GitHub README
- Automated private leak check
- Architecture notes
- Add a screenshot after the public repository is published
- Add the final GitHub Pages URL if GitHub Pages is enabled later
MIT. See LICENSE.