Agentic Blogger leverages chain-of-thought prompting and modular pipelines to automate the entire blog writing process. Starting from a user-defined topic or keyword, it performs topic research by gathering relevant information, generates structured outlines, and drafts detailed content sections using GPT models. The agent can iteratively revise its output based on SEO best practices, readability metrics, and user feedback. Users can configure custom prompts, target audience preferences, and publishing settings. With support for APIs of popular blogging platforms, Agentic Blogger can even auto-publish posts. Its extensible Python-based architecture allows developers to customize modules, integrate third-party tools, and scale content production across multiple blogs simultaneously.