Blog Article Generation by Python&AI

Project Overview

In this project, I built a system that automatically generates high-quality blog articles using AI. The system automates and streamlines everything from target keyword selection to HTML generation, with a focus on quickly providing content that addresses user concerns. The ultimate goal is to achieve top Google search rankings for each article's target keywords.

Skills Used

• Python (LangChain, Jinja)
• SEO (Keyword selection, Content mapping)
• HTML/CSS

AI Models Used

• Claude-3.7-sonnet
• ChatGPT o1
• ChatGPT o3-mini (higher)
• Gemini Flash 2.0

Workflow

1. Target Keyword Collection

   List and manage target keywords in Google Sheets.

2. Creating Personas and Conducting AI Interviews to Develop Blog Requirements (Using LangGraph)

   Use LangGraph to create multiple personas and conduct interviews with them. Based on the interview results, I identify pain points and needs related to each keyword. This information is then used to create detailed requirement specifications (instruction documents) for each blog article.

3. HTML Code Generation for Blog Articles (Using Python + Jinja)

   Utilize Python's Jinja library to dynamically generate HTML templates for articles. This allows for efficient creation of HTML with a consistent underlying structure.

4. Content Creation and Refinement (Using Cursor + Various AI Model APIs)

   Create article content in Cursor and refine it by combining multiple AI models. The completed text is then incorporated into the HTML code generated with Jinja to finalize the article.

Published Demo Articles

• What are AI Agents?
• AI Agent Implementation Examples
• AI Agent Design Patterns
• Task Execution with Multi-Agents
• Types and Characteristics of AI Agents
• What is Generative AI?
• AI Image Generation Guide
• Generative AI Use Cases
• Challenges in Generative AI
• Guide to Using Generative AI for Video
• What is ChatGPT?
• What is Claude?
• What is Gemini?
• What is DeepSeek?

Project Goals

• Achieve top Google search rankings for each article's target keywords
• Deeply explore user pain points to create high-quality, valuable content quickly
• Provide articles with human-like perspectives and structure while leveraging AI capabilities

Through this blog article creation workflow utilizing AI and automation, I've made it possible to efficiently handle everything from keyword research to HTML code generation. I continue to optimize the process to achieve higher search engine rankings.

Future Plans

Moving forward, I plan to implement various techniques to further enhance blog article quality. Currently, the workflow includes some manual operations, requiring about 30 minutes of work time for 10 articles. My goal is to make the process even more efficient and reduce human involvement to the absolute minimum.