AI Blog Generator
An automated content generation tool exploring prompt engineering, structured GPT outputs, and publication-ready markdown blog workflows.
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Blog outline generation
GPT-4
OpenAI LLM Engine
Markdown
Output format
Python
Automation script
Problem Statement
Automating consistent, structured technical blog writing.
Generic LLM prompts often yield unstructured, repetitive text that requires heavy manual editing before publishing.
This project demonstrates prompt templates and markdown parsers that turn simple topic inputs into well-formatted technical articles with proper section headers and metadata.
System Architecture
GPT Prompting & Formatting Pipeline.
The script passes user parameters into structured prompt templates, invoking OpenAI API endpoints and validating output syntax before saving files locally.
Prompt Engineering
Structured system messages for consistent formatting and tone.
OpenAI GPT Models
High-quality text generation for technical blog sections.
Markdown Export
Ready-to-publish `.md` file generation with SEO metadata.
Engineering Challenges
GenAI Engineering.
Preventing model hallucinations and off-topic tangents
Engineered strict system prompts and few-shot templates enforcing outline constraints and factual topic boundaries.
Generating clean, publication-ready markdown output
Structured output schema validation to ensure headers, code snippets, lists, and metadata blocks are correctly formatted.
Command-line automation & script portability
Built the tool using Python with standard CLI arguments, enabling fast local execution and integration with build pipelines.
Open Source
Explore the Python script.
The Python code and prompt templates are available on GitHub.