Phase 1: Repository Architecture & Standalone Package Setup

• [x] Create standalone package directory mlazy_engine/
• [x] Configure .gitignore for Python cache, .env secrets, and database exclusions
• [x] Create GitHub Repository (https://github.com/NiranjanKumar001/MLazy.git)
• [x] Setup GitHub Actions CI Workflow (.github/workflows/test.yml)
• [x] Create Master System Architecture Blueprint (CHATGPT_MASTER_PROMPT.md)

Phase 2: Database Layer & ORM Models (mlazy_engine/)

• [x] config.py: Environment loader & strict secret checks (DATABASE_URL, JWT_SECRET, GOOGLE_CLIENT_ID)
• [x] .env: Local secret configuration
• [x] db.py: Async SQLAlchemy 2.0 connection pool supporting PostgreSQL (Supabase) with local SQLite (mlazy.db) fallback
• [x] models.py: 6 ORM Database Schemas (User, TopicQueue, Story, VideoJob, YouTubeUpload, StyleProfile)
• [x] README.md: Entity-Relationship (ER) Diagram (Mermaid & ASCII formats)
• [x] tests/test_db.py: Pytest test suite for database tables and async session lifecycle (PASSED)

Phase 3: LLM Script & Scene Prompt Generator (mlazy_engine/script_engine.py)

• [x] script_engine.py: Google Gemini 2.0 AI script & scene prompt generator
• [x] Pydantic Validation Schemas (ScriptPackageSchema & SceneSchema)
• [x] Style DNA prompt injector (Zack D Films style prompt suffix)
• [x] Strict production error handling (ValueError / RuntimeError) + CI mock test mode
• [x] tests/test_script_engine.py: Pytest test suite for script engine & Pydantic validation (PASSED)