Blogger-AutoPilot: A Local LLM-Powered Automated Blog Publishing Tool for Human-like Content Operation Experience

Blogger-AutoPilot is an open-source self-hosted AI blog auto-publishing system. It generates SEO-optimized content using Ollama local large models, supports intelligent scheduling, duplicate detection, automatic internal linking, and image insertion. It simulates the publishing behavior of human bloggers, resolving the conflict between repetitive work and high-quality output for content creators while protecting privacy and reducing long-term costs.

In the digital content era, blog operators face the conflict between continuously producing high-quality content and handling repetitive tasks like creation, formatting, and SEO. Existing AI writing tools mostly rely on cloud APIs (with privacy and cost issues) or generate content that lacks human touch, making it difficult to achieve true automated operation.

Blogger-AutoPilot is open-sourced by developer boonyadol-ksl. Its core concept is open-source self-hosting (processing data locally), simulating human blogger behaviors: random late-night publishing, category rotation, natural internal link structure, to create a human-like operation experience.

Local LLM Drive

Uses Ollama to support mainstream open-source models (Gemma, Llama, Mistral, etc.), with localized data, no API fees, and customizable models.

Intelligent SEO Automation

Dynamically generates keywords, title tags, meta descriptions, and tags based on in-depth content understanding.

Content Quality Assurance

Retrieves historical content before generation to avoid duplication and prevent homogenization.

Automatic Internal Link Construction

Identifies keywords and inserts links to relevant historical articles, improving SEO and user experience.

Unsplash Image Integration

Automatically searches and inserts topic-related images, handles copyright attribution, and the free tier meets daily needs.

• Random Late-Night Publishing: Publish at random times between 20:00 and 03:59 the next day, 1-3 articles per day to simulate a natural rhythm.
• Category Rotation: Pre-set multiple categories for automatic switching to ensure content diversity.
• Customizable Style: Define writing style and tone via prompts to adapt to different blog positioning.

Environment Preparation

Requires Python 3.10+, local Ollama service, Blogger account, and Unsplash developer account.

Configuration Steps

Enable Blogger API v3, create OAuth credentials, obtain refresh token, configure .env parameters (model, blog ID, etc.).

Operation Modes

Supports Web UI visual management or automatic scheduling scripts for unattended publishing.

• Individual Bloggers: Maintain content output rhythm, balance main work and blog activity.
• Content Teams: Quickly generate first drafts to assist manual polishing.
• Multilingual Operation: Local LLM supports non-English content (e.g., Thai). Core Value: AI takes on repetitive tasks, allowing creators to focus on deep thinking and emotional resonance.

Limitations

Currently optimized for Thai/English content; other languages need tuning. Self-hosting requires certain technical capabilities.

Future Directions

Integrate more model providers (OpenAI, Gemini, etc.), expand platform support (WordPress, Ghost, etc.), and improve multilingual capabilities and UI friendliness.