- Set up FastAPI backend with modular structure:
- main.py for API routing
- copywriter.py for AI-powered content generation using Cohere
- embeddings.py for generating and reranking content embeddings
- vector_store.py for FAISS-based similarity search
- brand_style.py for managing brand tone, taboo words, and preferred terms
- config.py for managing environment and application settings
- Configured RESTful API endpoints: /generate-copy, /brand-style, /training-data, /improve-content, /analyze-content
- Created frontend with vanilla HTML, CSS, and JS (index.html, styles.css, app.js)
- Integrated brand style management for tone, voice, taboo words, and terminology
- Implemented vector search for referencing similar historical content
- Enabled training data input to improve future AI output
- Added environment variable support for API keys and model configs
- Structured data storage with local JSON and DB files
- Added developer documentation, API reference, and project setup instructions
This commit provides the foundation for a full-stack, AI-driven content creation platform that ensures brand consistency, speeds up marketing workflows, and supports iterative improvement over time.