ArtiPub AI addresses the challenge of efficiently distributing and optimizing content across diverse media channels. Targeting content creators and publishers, it leverages advanced AI agents to automate article adaptation, intelligent scheduling, and multi-platform deployment, aiming to maximize audience engagement and streamline the publishing workflow.

How It Works

This platform replaces previous browser automation with AI agents, utilizing Large Language Models (LLMs) for sophisticated content optimization. It analyzes content to adapt titles, metadata, and style for specific platform audiences, enhances SEO through keyword analysis, and determines optimal publishing schedules and platform recommendations. This AI-driven approach offers greater reliability, speed, and content quality compared to traditional automation.

Quick Start & Requirements

• Primary Install/Run: Requires Node.js 18+ and npm/yarn. Installation involves cloning the repository (git clone https://github.com/crawlab-team/artipub), installing dependencies (npm install), and starting the development server (npm run dev).
• Prerequisites: API keys for supported AI providers (OpenAI, Anthropic) are necessary for functionality. Platform-specific configurations are managed within src/lib/types.ts.
• Setup: Basic setup involves cloning, dependency installation, and environment variable configuration.

Highlighted Details

• AI Content Optimization: Automatically adapts titles, content, and metadata, performs SEO keyword analysis, and generates audience-targeted variations.
• Multi-Platform Publishing: Supports Zhihu, Juejin, CSDN, Jianshu, SegmentFault, and OSCHINA, with intelligent platform recommendations and smart scheduling.
• Modern Tech Stack: Built using Next.js 15, TypeScript, Tailwind CSS, and shadcn/ui for a responsive and modern user experience.
• Real-time Dashboard: Provides live updates and detailed insights into publishing tasks.

Maintenance & Community

The project originates from the Crawlab team and welcomes contributions. Specific details regarding active maintenance, core contributors, or community channels (like Discord/Slack) are not detailed in the provided README.

Licensing & Compatibility

The project is licensed under the BSD-3-Clause License, which permits commercial use and modification with attribution.

Limitations & Caveats

The platform's functionality is dependent on external AI provider APIs, potentially incurring costs and subject to provider rate limits. While the README highlights a complete rebuild with modern AI, specific details on performance benchmarks, known issues, or the project's maturity level in its AI-driven iteration are not elaborated upon.