AI Blog Generator

An AI-powered blog content generation tool developed by Wellysa.

Overview

This repository contains the AI Blog Generator project, designed to automate blog content creation using artificial intelligence technologies.

(unverified — confirm with team) The specific implementation details, technology stack, and feature set need to be validated against the actual codebase.

Tech Stack

(unverified — confirm with team)

The technology stack has not been confirmed from the repository config files. Common options for AI blog generation tools include:

• Backend: Python (FastAPI/Flask/Django) or Node.js (Express)
• AI/LLM Integration: OpenAI API, Anthropic Claude, or other LLM providers
• Database: PostgreSQL, MongoDB, or other persistence layer
• Frontend: React, Vue.js, or server-side rendering

Confirm the actual stack by reviewing package.json, pyproject.toml, requirements.txt, or equivalent config files in the repository.

Installation

(TBD — confirm with team)

Installation instructions depend on the actual technology stack used. Once the repository structure is available, this section should include:

1. Prerequisites (Node.js version, Python version, API keys required)
2. Dependency installation commands
3. Environment variable configuration
4. Database setup (if applicable)

Usage

(TBD — confirm with team)

Usage instructions will be documented once the codebase structure and entry points are confirmed. This may include:

• CLI commands for generating blog posts
• API endpoints for programmatic access
• Configuration options for AI model selection and parameters
• Output format options (Markdown, HTML, etc.)

Configuration

(TBD — confirm with team)

Configuration details need to be extracted from the actual codebase. Typically includes:

• API keys for LLM providers (OpenAI, Anthropic, etc.)
• Model selection and parameters
• Output preferences
• Rate limiting and caching options

Architecture

(unverified — confirm with team)

The architectural design needs to be confirmed by reviewing the actual code structure. Standard components for an AI blog generator might include:

• Content generation engine (LLM integration)
• Prompt engineering layer
• Content formatting and post-processing
• Storage/persistence layer
• API or CLI interface

Development Status

(unverified — confirm with team)

Current development status, roadmap, and known issues should be documented here once confirmed with the team.

Contributing

(TBD — confirm with team)

Contribution guidelines will be established based on team workflow and repository structure.

License

(unverified — confirm with team)

License information should be confirmed from the repository's LICENSE file.

---

Note: This README was generated as a template based on the repository name only. All technical details marked with "(unverified — confirm with team)" or "(TBD — confirm with team)" must be validated against the actual codebase structure, config files (package.json, pyproject.toml, requirements.txt, etc.), and team documentation.

To update this README with accurate information:

1. Review the repository's config files for actual dependencies and tech stack
2. Examine the code structure for architecture and entry points
3. Test the installation and usage workflows
4. Update each section with confirmed, accurate information
5. Remove unverified flags once information is validated