A production-ready AI-powered blog content engine with advanced SEO optimization, content research, and automated publishing capabilities. Generate, optimize, and manage high-quality blog content at scale.
- 🤖 Advanced AI-powered content generation using OpenAI GPT models
- 📊 Intelligent topic research and content planning
- 🎯 SEO optimization with keyword analysis
- 📝 Automated content enhancement and fact-checking
- 🔄 Content versioning and revision history
- ☁️ Cloud storage integration (Google Cloud Storage)
- 📈 Prometheus monitoring and metrics
- 🚨 Alert management system
- 🔒 Security best practices
- 🔄 Automatic retries and error handling
- 📊 Real-time content performance tracking
- 📈 SEO metrics and rankings
- 👥 Audience engagement analytics
- 💹 Revenue tracking
- 🎯 A/B testing capabilities
- Python 3.8+
- Google Cloud account (for storage)
- OpenAI API key
# Clone the repository
git clone https://github.com/yourusername/ai-blog-engine.git
cd ai-blog-engine
# Run setup script
chmod +x setup_blog_engine.sh
./setup_blog_engine.sh
from blog_engine import BlogOrchestrator
# Initialize the engine
orchestrator = BlogOrchestrator("config.yaml")
# Generate a blog post
result = await orchestrator.create_blog_post(
topic="AI Technology Trends",
keywords=["artificial intelligence", "machine learning", "AI trends"]
)
# View the result
print(f"Blog post created: {result['public_url']}")
title: "10 Groundbreaking AI Trends Reshaping Technology in 2024"
metrics:
seo_score: 0.92
readability_score: 0.88
engagement_score: 0.95
enhancements:
examples: 3
statistics: 5
expert_quotes: 2
analytics:
estimated_reach: 15000
seo_ranking: "High"
{
"content_quality": {
"grammar_score": 0.98,
"originality_score": 0.95,
"engagement_metrics": {
"avg_time_on_page": "4:32",
"bounce_rate": "15%"
}
}
}
The AI Blog Engine is built with a modular, microservices-based architecture:
ai-blog-engine/
├── blog_engine/ # Core package
│ ├── orchestrator.py # Main workflow orchestrator
│ ├── research/ # Topic research and planning
│ ├── generation/ # Content generation
│ ├── optimization/ # Content optimization
│ └── monitoring/ # System monitoring
├── frontend/ # Web dashboard
├── tests/ # Test suite
└── utils/ # Utility scripts
Example configuration file (config.yaml
):
services:
openai:
enabled: true
api_key: "your-key"
model: "gpt-4"
storage:
type: "gcloud"
bucket_name: "your-bucket"
monitoring:
enabled: true
prometheus_port: 8000
alert_thresholds:
error_rate: 0.01
memory_mb: 1000
The engine includes comprehensive monitoring:
- Real-time metrics via Prometheus
- Performance dashboards
- Error tracking and alerting
- Resource usage monitoring
- Content performance analytics
- Secure credential management
- API key rotation
- Rate limiting
- Access control
- Audit logging
# Run test suite
pytest
# Run specific tests
pytest tests/integration/test_content_generation.py
Full documentation is available in the /docs
directory:
We welcome contributions! Please see our Contributing Guide for details.
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- OpenAI for their powerful API
- Google Cloud for storage solutions
- The open-source community
- 📧 Email: support@aiblogengine.com
- 💬 Discord: Join our community
- 📚 Documentation: docs.aiblogengine.com
Made with ❤️ by the AI Blog Engine Team