A complete POC implementation of the Nexus Personal AI Assistant following the PRD specifications. This is a done-with-you AI assistant that produces brand-consistent social posts and organized Notion artifacts, with decisive consultation and human approvals.
- Voice-calibrated content drafting - AI generates posts matching user's voice
- Human-in-the-loop approvals - All content requires manual approval
- Multi-platform support - Twitter/X and LinkedIn ready
- Consultation chat - AI assistant with actionable suggestions
- Analytics dashboard - Performance tracking and insights
- Notion integration - Automated note and task creation (UI ready)
- Modular architecture - Scalable and maintainable codebase
Frontend (React Native + Expo)
- React Native with Expo Router v3
- NativeWind for styling (Tailwind CSS)
- TypeScript for type safety
- Context API for state management
- Firebase Authentication
Backend (Python FastAPI)
- FastAPI with async support
- SQLAlchemy ORM with SQLite (production-ready for PostgreSQL)
- OpenAI/Anthropic integration for AI services
- Firebase Admin SDK for authentication
- Modular service architecture
personal-assist/
βββ app/ # React Native app (Expo Router)
β βββ (tabs)/ # Tab navigation screens
β βββ auth.tsx # Authentication screen
β βββ _layout.tsx # Root layout with providers
βββ components/ # Reusable UI components
β βββ ui/ # Basic UI primitives
β βββ DraftCard.tsx # Draft management component
βββ contexts/ # React Context providers
β βββ AuthContext.tsx # Authentication state
β βββ AppContext.tsx # App-wide state
βββ services/ # API clients and Firebase config
βββ types/ # TypeScript type definitions
βββ utils/ # Helper functions
βββ server/ # Python FastAPI backend
β βββ app/
β β βββ api/v1/ # API route handlers
β β βββ core/ # Configuration and dependencies
β β βββ models/ # Database models
β β βββ schemas/ # Pydantic schemas
β β βββ services/ # Business logic services
β βββ requirements.txt # Python dependencies
βββ IMPLEMENTATION_PLAN.md # Development roadmap
- Node.js 18+ and npm/yarn
- Python 3.9+
- Expo CLI:
npm install -g @expo/cli
-
Install dependencies:
npm install
-
Setup environment variables:
cp .env.example .env # Edit .env with your Firebase and API configurations
-
Start the development server:
npm start
-
Run on device:
# iOS npm run ios # Android npm run android # Web npm run web
-
Navigate to server directory:
cd server
-
Create virtual environment:
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
-
Install dependencies:
pip install -r requirements.txt
-
Setup environment variables:
cp .env.example .env # Edit .env with your API keys and configurations
-
Start the server:
python run_server.py
The API will be available at http://localhost:8000
- Quick actions for content generation
- Analytics overview with key metrics
- Pending drafts management
- Real-time updates
- AI-powered draft creation
- Voice profile matching
- Multiple variants per draft
- Best-time scheduling suggestions
- Visual draft review interface
- Approve/reject with reasons
- Scheduling options
- Moderation status tracking
- Context-aware conversations
- Actionable suggestions with "Apply" buttons
- Integration with content generation
- Chat history persistence
- Performance tracking
- Theme analysis
- Engagement trends
- AI-powered recommendations
The POC includes:
- Firebase Authentication setup (Google, email/password)
- JWT token management
- Protected routes and screens
- User profile management
- OpenAI GPT-3.5/GPT-4 integration
- Voice profile analysis from writing samples
- Context-aware content creation
- Moderation and safety checks
- Conversational AI with memory
- Action-oriented responses
- Integration with content workflows
- User preference learning
Built with a comprehensive design system:
- Consistent color palette
- Reusable UI components
- Responsive layouts
- Dark/light mode support
- Accessibility considerations
- Goals and themes
- Voice profile with tone analysis
- Integration settings
- Preferences and notifications
- Draft creation and versioning
- Approval workflows
- Publishing schedules
- Performance tracking
- Engagement metrics
- Time savings calculations
- Content performance analysis
- AI recommendations
The POC is structured for easy deployment:
- Expo EAS Build ready
- Environment-based configuration
- Production optimizations
- Docker containerization ready
- Database migration support
- Environment-based settings
- Scalable architecture
Based on the implementation plan:
- Calendar integration for proactive prompts
- Advanced content calendar
- Multi-account management
- Enhanced analytics
- Real OAuth integrations
- Production database setup
This POC demonstrates the full technical feasibility of the Nexus Personal AI concept as outlined in the PRD. The modular architecture ensures easy feature additions and maintenance.
Built with β€οΈ following the PRD specifications for maximum commercial viability and user value.