Implement an intelligent digital marketing co-pilot for the Indian market using Python/FastAPI backend and React/Tailwind frontend. The system integrates AI-powered content creation, visual design, strategic planning, engagement prediction, and automated scheduling with comprehensive multilingual support.
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1. Set up project structure and core infrastructure
- Create Python FastAPI backend with async support
- Set up React TypeScript frontend with Tailwind CSS
- Configure PostgreSQL database with schema from design
- Set up Redis for caching and message queues
- Configure environment-based configuration management
- Requirements: 10.1, 10.2, 10.6, 10.10
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2. Implement core domain models and data layer
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2.1 Create Python data models (Pydantic) for all domain entities
- Implement BusinessProfile, AudienceProfile, GeneratedContent models
- Implement PostAnalysis, HitScore, MarketingStrategy models
- Implement GeneratedImage, MarketingReel, ScheduledPost models
- Add validation logic for all model fields
- Requirements: Data Models section, 10.8
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[ ]* 2.2 Write property test for data model validation
- Property 4: Brand Guideline Compliance
- Validates: Requirements 1.7, 5.5
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2.3 Implement database schema and migrations
- Create PostgreSQL tables from design schema
- Implement Alembic migrations for version control
- Add indexes for performance optimization
- Requirements: Database Schema Design section
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[ ]* 2.4 Write unit tests for data layer
- Test CRUD operations for all models
- Test validation edge cases
- Test database constraint violations
- Requirements: 15.1
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3. Checkpoint - Core infrastructure validation
- Ensure database migrations run successfully
- Verify data models can be serialized/deserialized
- Confirm basic API endpoints respond
- Ask the user if questions arise.
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4. Implement AI Content Generator component
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4.1 Create ContentGenerator class with platform-specific templates
- Implement generate_post() method with business type, audience, platform, goal inputs
- Integrate with LLM API (OpenAI GPT-4/Claude/Gemini) through abstraction layer
- Generate hook, caption, CTA, hashtags with 3 variations
- Requirements: 1.1-1.8, 10.3
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[ ]* 4.2 Write property test for content generation
- Property 1: Content Generation Performance
- Validates: Requirements 1.1
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[ ]* 4.3 Write property test for platform optimization
- Property 2: Platform-Specific Content Optimization
- Validates: Requirements 1.2, 1.3, 1.4
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[ ]* 4.4 Write property test for content variations
- Property 3: Content Variation Generation
- Validates: Requirements 1.5
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4.4 Implement content batch generation
- Add generate_content_batch() method for strategy alignment
- Implement thematic consistency across batches
- Add language support (English, Hindi, Tamil, Hinglish)
- Requirements: 1.8, 7.1-7.4
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5. Implement Hit Prediction Engine component
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5.1 Create PostAnalysis model with multi-dimensional scoring
- Implement hook strength analysis (0-10 scale)
- Implement CTA clarity scoring (0-10)
- Calculate length optimization ratio
- Score hashtag relevance (0-10)
- Classify emotional tone
- Calculate platform compatibility index
- Requirements: 2.1
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5.2 Implement HitScore calculation with weighted formula
- Calculate composite score: Hook×0.3 + CTA×0.25 + Platform×0.2 + Hashtag×0.15 + Emotion×0.1
- Categorize as High (80-100), Medium (60-79), Low (0-59)
- Add confidence intervals for predictions
- Requirements: 2.2, 2.4
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[ ]* 5.3 Write property test for score calculation
- Property 6: Weighted Score Calculation
- Validates: Requirements 2.2
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5.3 Implement improvement suggestion generation
- Generate specific suggestions for scores < 70
- Target lowest-scoring dimensions with concrete examples
- Incorporate historical data when available
- Requirements: 2.3, 2.6
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[ ]* 5.4 Write property test for improvement suggestions
- Property 7: Improvement Suggestions
- Validates: Requirements 2.3
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[ ]* 5.5 Write property test for engagement categorization
- Property 8: Engagement Categorization
- Validates: Requirements 2.4
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6. Implement Positioning Engine component
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6.1 Create platform recommendation logic
- Analyze audience demographics × content type compatibility
- Recommend primary/secondary platforms with confidence scores
- Include rationale: audience match %, format suitability, competitive analysis
- Requirements: 3.1, 3.5
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6.2 Implement timing optimization
- Recommend posting windows in 30-minute intervals
- Account for timezone differences and audience online behavior
- Use platform-specific engagement patterns
- Requirements: 3.2
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[ ]* 6.3 Write property test for platform recommendations
- Property 10: Platform Recommendation Generation
- Validates: Requirements 3.1
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6.3 Implement format and funnel stage recommendations
- Recommend formats: Reel, Carousel, Single Image, Text Post, Story
- Classify posts into Awareness, Consideration, Conversion stages
- Provide stage-specific optimization recommendations
- Requirements: 3.3, 3.4
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6.4 Add personalization and A/B testing
- Analyze historical posting patterns when accounts connected
- Provide A/B testing recommendations with predicted outcomes
- Requirements: 3.6, 3.7
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[ ]* 6.5 Write property test for personalized recommendations
- Property 15: Personalized Recommendations
- Validates: Requirements 3.6
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7. Checkpoint - Core AI components validation
- Test content generation with all platform types
- Verify hit prediction scores follow weighted formula
- Confirm positioning recommendations include rationales
- Ensure all components integrate correctly
- Ask the user if questions arise.
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8. Implement Strategy Planner component
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8.1 Create strategy generation from business profile
- Generate 3-5 content pillars with themes and messaging frameworks
- Create campaign concepts aligned with objectives and trends
- Incorporate industry best practices for content mix (40/30/20/10)
- Requirements: 4.1, 4.2, 4.6
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[ ]* 8.2 Write property test for content pillar generation
- Property 17: Content Pillar Generation
- Validates: Requirements 4.1
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8.2 Implement content calendar generation
- Generate 7-day calendar: daily schedule, platform distribution, formats
- Generate 30-day calendar: weekly themes, campaign phases, checkpoints
- Ensure thematic consistency and logical progression
- Requirements: 4.3, 4.4
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[ ]* 8.3 Write property test for calendar generation
- Property 19: Calendar Generation
- Validates: Requirements 4.3, 4.4
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8.3 Add strategy documentation and historical learning
- Generate documentation with rationale, outcomes, resources, risks
- Analyze historical performance to improve future strategies
- Requirements: 4.7, 4.8
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9. Implement Visual Generator component
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9.1 Integrate with image generation API
- Generate clean product images meeting commercial standards
- Create promotional banners in 16:9, 1:1, 9:16 ratios
- Produce platform-optimized layouts with correct dimensions
- Requirements: 5.1-5.3, 10.3
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[ ]* 9.2 Write property test for dimension compliance
- Property 22: Dimension Compliance
- Validates: Requirements 5.2, 5.3
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9.2 Implement brand guideline compliance
- Apply brand colors, typography, logo usage rules
- Generate 3-5 design variations per request
- Maintain consistent styling for product catalogs
- Requirements: 5.5, 5.7, 5.8
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[ ]* 9.3 Write property test for visual variations
- Property 23: Visual Variation Generation
- Validates: Requirements 5.8
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9.3 Add cultural adaptation for visuals
- Adapt design elements for different language groups
- Use appropriate color symbolism and imagery
- Requirements: 7.7
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10. Implement Reel Builder component
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10.1 Create video processing pipeline with FFmpeg/moviepy
- Use generated images as video frames with motion effects
- Add clean text overlays with 2-3 second timing
- Apply smooth transitions (fade, slide, zoom, cut)
- Requirements: 6.1-6.3, 10.4
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[ ]* 10.2 Write property test for reel assembly
- Property 25: Reel Assembly
- Validates: Requirements 6.1
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10.2 Implement music synchronization and export
- Sync visual transitions to musical beats when music selected
- Export 6-10 second reels in 9:16 aspect ratio
- Include platform-optimized metadata and hashtags
- Provide multiple editing style options with previews
- Requirements: 6.4, 6.6-6.8
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[ ]* 10.3 Write property test for music synchronization
- Property 28: Music Synchronization
- Validates: Requirements 6.6
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[ ]* 10.4 Write property test for export metadata
- Property 30: Export Metadata
- Validates: Requirements 6.8
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11. Checkpoint - Content creation pipeline validation
- Test complete workflow: strategy → content → visuals → reel
- Verify all components maintain data consistency
- Confirm performance meets requirements (5s content, 10s visuals, 30s reels)
- Ensure error handling works for all failure scenarios
- Ask the user if questions arise.
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12. Implement Automation System component
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12.1 Create content library and scheduling system
- Store posts with metadata: creation date, platform, scheduled time
- Schedule based on positioning recommendations
- Detect and resolve scheduling conflicts (2-hour window)
- Requirements: 8.1-8.3
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[ ]* 12.2 Write property test for content storage
- Property 33: Content Storage
- Validates: Requirements 8.1
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12.2 Implement approval workflow and notifications
- Require user approval with 24-hour advance notice
- Send preview notifications 1 hour before scheduled time
- Support emergency cancellation capability
- Requirements: 8.4, 8.5
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[ ]* 12.3 Write property test for approval workflow
- Property 36: Approval Workflow
- Validates: Requirements 8.4
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12.3 Add status tracking and batch scheduling
- Maintain status: draft, approved, scheduled, published, completed
- Provide calendar visualization of scheduled content
- Support batch scheduling with single approval workflow
- Requirements: 8.6, 8.8
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12.4 Implement social media API integration
- Automatically publish content at scheduled times
- Capture publication confirmation and log errors
- Implement OAuth 2.0 with minimal permissions
- Requirements: 8.7, 13.5
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13. Implement Bharat Mode multilingual support
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13.1 Add language detection and translation
- Detect user input language automatically
- Suggest translation when user/audience language mismatches
- Support English, Hindi, Tamil, Hinglish content generation
- Requirements: 7.1-7.6, 7.8
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[ ]* 13.2 Write property test for language detection
- Property 31: Language Detection and Adaptation
- Validates: Requirements 7.8
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13.2 Implement cultural adaptation
- Incorporate region-specific cultural references and festivals
- Use appropriate colloquial expressions and honorifics
- Support natural code-switching in Hinglish
- Requirements: 7.6
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13.3 Add UI language support
- Support English and Hindi interface languages
- Localize help content and navigation
- Requirements: 14.6
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14. Implement integrated workflow system
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14.1 Create guided workflow from strategy to publication
- Generate complete strategy after business profile setup
- Create content batches aligned with calendar
- Generate corresponding visual assets
- Automatically trigger reels when video superiority indicated
- Requirements: 9.1-9.4
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[ ]* 14.2 Write property test for initial strategy generation
- Property 41: Initial Strategy Generation
- Validates: Requirements 9.1
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14.2 Add hit scoring and positioning to workflow
- Calculate hit scores for all generated content
- Provide integrated platform/timing recommendations
- Schedule content after user approval with proper spacing
- Require final approval before publication
- Requirements: 9.5-9.8
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14.3 Implement workflow state persistence
- Allow pausing, resuming, modifying any stage
- Maintain state without data loss
- Provide progress tracking visualization
- Requirements: 9.9, 9.10
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15. Implement frontend dashboard
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15.1 Create React TypeScript dashboard with Tailwind CSS
- Implement responsive design for desktop and mobile
- Use component library (ShadCN/Radix) for consistent UX
- Create intuitive navigation and visual hierarchy
- Requirements: 10.1, 14.1
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15.2 Implement content creation interfaces
- Business profile setup wizard
- Content generation with platform selection
- Visual and reel preview interfaces
- Strategy and calendar visualization
- Requirements: 14.4, 14.5
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15.3 Add accessibility features
- Screen reader compatibility and keyboard navigation
- Sufficient color contrast ratios (WCAG 2.1 AA)
- Progressive disclosure of advanced options
- Requirements: 14.3
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15.4 Implement approval and scheduling interfaces
- Approval workflow with notification management
- Calendar view of scheduled content
- Batch scheduling interface
- Publication status tracking
- Requirements: 8.6, 9.10
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16. Checkpoint - Full system integration
- Test complete user journey: profile → strategy → content → approval → publication
- Verify all components work together seamlessly
- Confirm data flows correctly between frontend and backend
- Test error handling and recovery across entire system
- Ask the user if questions arise.
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17. Implement security and performance features
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17.1 Add authentication and authorization
- Implement secure password hashing (bcrypt/Argon2)
- Add multi-factor authentication support
- Enforce role-based access control (users access own data only)
- Requirements: 13.2, 13.3
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[ ]* 17.2 Write property test for security implementation
- Property 50: Security Implementation
- Validates: Requirements 13.1, 13.2, 13.3, 13.5
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17.2 Implement encryption and audit logging
- Use TLS 1.3 for data in transit
- Implement audit logging with tamper-evident storage
- Add rate limiting and input sanitization
- Requirements: 13.1, 13.6, 10.9
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17.3 Add performance optimization
- Implement caching with Redis for frequent operations
- Add database query optimization and indexing
- Implement async processing for long-running tasks
- Requirements: 11.1-11.6
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[ ]* 17.4 Write property test for performance under load
- Property 51: Performance Under Load
- Validates: Requirements 11.1, 11.2, 11.3, 11.4, 11.5, 11.6
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17.4 Implement fault tolerance and monitoring
- Add graceful degradation for component failures
- Implement retry logic with exponential backoff
- Add health checks and performance metrics
- Requirements: 12.2, 12.5, 12.6
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18. Implement testing infrastructure
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18.1 Set up property-based testing with Hypothesis
- Configure 100+ iterations per property test
- Implement test data generation strategies
- Add property test tagging and reporting
- Requirements: Testing Strategy section
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18.2 Create comprehensive test suite
- Unit tests for business logic and edge cases
- Integration tests for component interactions
- API tests for all endpoints
- Security tests for authentication and authorization
- Requirements: 15.1
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18.3 Set up CI/CD pipeline
- Automated testing on push/pull request
- Coverage reporting (target >80%)
- Performance and load testing
- Security vulnerability scanning
- Requirements: 15.6
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19. Final checkpoint - Production readiness
- Run full test suite including property tests
- Verify all 55 correctness properties pass
- Conduct performance testing with 1000 concurrent users
- Complete security audit and vulnerability assessment
- Ensure all requirements are implemented and tested
- Ask the user if questions arise.
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20. Deployment and documentation
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20.1 Create deployment configuration
- Docker containerization for all components
- Environment-based configuration management
- Cloud deployment templates (AWS/Azure/GCP)
- Infrastructure-as-code (Terraform/CloudFormation)
- Requirements: 10.10, 15.4
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20.2 Implement monitoring and observability
- Comprehensive logging with structured format
- Metrics collection for performance analysis
- Distributed tracing for request tracking
- Alerting for critical system components
- Requirements: 12.6, 15.5
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20.3 Create documentation
- API specifications with OpenAPI/Swagger
- Deployment guides and troubleshooting procedures
- Architectural decision records
- User guides and onboarding tutorials
- Requirements: 15.3, 14.2
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20.4 Final validation and handoff
- User acceptance testing with real scenarios
- Disaster recovery testing and rollback procedures
- Compliance verification (Indian data protection regulations)
- Performance benchmarking against requirements
- Requirements: 12.1, 12.3, 13.4
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- Tasks marked with
*are optional and can be skipped for faster MVP - Each task references specific requirements for traceability
- Checkpoints ensure incremental validation and early feedback
- Property tests validate universal correctness properties from design
- Unit tests validate specific examples and edge cases
- Performance requirements: content generation <5s, visuals <10s, reels <30s
- Security requirements: TLS 1.3, secure hashing, RBAC, audit logging
- Target test coverage: >80% for critical business logic
- Deployment: Docker containers with cloud infrastructure templates