Article Writer is an AI-driven writing assistant designed to help users create high-quality, authentic articles, particularly for platforms like WeChat public accounts. It addresses the common issue of AI-generated content lacking genuine human touch, warmth, and specific details. By integrating with various AI assistants (Claude, Gemini, Cursor, etc.) and employing a "real-driven workflow," it empowers users to produce content that is difficult for AI detectors to flag, acting as a collaborative partner rather than a ghostwriter. The target audience includes content creators, bloggers, and social media managers seeking to enhance efficiency without sacrificing authenticity.

How It Works

The system employs a multi-mode writing approach, offering four distinct modes: Coach (AI asks questions, user writes, AI checks), Quick (AI generates a draft), Hybrid (AI outlines, user fills core content), and Framework Constrained (AI fills a user-provided framework). Its core innovation is the "real-driven workflow," which prioritizes user-generated personal experiences and insights, leveraging AI for guidance, research, and review. A personal material library, which can import social media data, is central to injecting authentic details and personal style, aiming to produce content that AI itself cannot replicate.

Quick Start & Requirements

• Installation: npm install -g article-writer-cn
• Prerequisites: Node.js/npm, and an account/access to one of the 13 supported AI assistants (e.g., Claude Code, Gemini CLI, Cursor).
• Optional Dependencies: puppeteer for dynamic web page crawling, pdf-parse for PDF document crawling, and various cloud storage SDKs (Aliyun OSS, AWS S3, Tencent COS, Qiniu) for image hosting.
• Setup: Initialize a project using content init <project-name> [options], specifying workspace type (wechat, video, general) and AI platform.
• Documentation: Project GitHub repository is available for detailed guides and examples.

Highlighted Details

• Multi-Mode Writing System: Four modes (Coach, Quick, Hybrid, Framework Constrained) cater to diverse content needs and time budgets.
• "Real-Driven Workflow": Emphasizes user's personal experiences, aiming for AI detection rates below 25% through a 5-dimensional authenticity check (temperature, personality, regionality, details, thought depth).
• Document Crawler: Automatically scrapes and processes technical documentation from websites and PDFs to build a knowledge base for accurate content.
• WeChat Formatting: One-click conversion to WeChat public account style, including paragraph length control (<150 words) and sensitive word detection.
• Plugin System: Extensible architecture supporting plugins for AI detection, material import, and more.

Maintenance & Community

The project is maintained by wordflowlab. A WeChat group is mentioned as a community channel for users. No other specific community links (Discord, Slack) or details on contributors, sponsorships, or partnerships are provided in the README.

Licensing & Compatibility

• License: MIT License.
• Compatibility: The MIT license is permissive, generally allowing for commercial use and integration within closed-source projects without significant restrictions.

Limitations & Caveats

The tool's effectiveness in reducing AI detection relies heavily on the user's input of authentic personal experiences and insights; AI cannot fully compensate for a lack of genuine user contribution. It requires integration with external AI assistants, which may incur separate costs or access limitations. Advanced features like dynamic page crawling or PDF parsing necessitate the installation and configuration of optional dependencies.