Skip to Content
📚 MyStoryFlow Docs — Your guide to preserving family stories
Story AnalyzerImplementation Requirements🗺️ Implementation Roadmap

📚 Manuscript Analyzer - Implementation Roadmap

Project Overview

Create analyzer.mystoryflow.com as a new app within the MyStoryFlow monorepo - an AI-powered manuscript analysis platform for authors.

Architecture Context

  • Monorepo Location: mystoryflow/apps/analyzer-app/
  • Port: 3005
  • Domain: analyzer.mystoryflow.com
  • Shared Packages: @mystoryflow/auth, @mystoryflow/ui, @mystoryflow/analytics, @mystoryflow/database, @mystoryflow/admin
  • Database: Existing MyStoryFlow Supabase with new analyzer schema
  • Admin Integration: Unified admin dashboard at admin.mystoryflow.com

📊 Status Legend

  • 📝 Documentation Ready: Detailed specification written
  • 🔲 Not Started: No implementation exists
  • 🚧 In Progress: Partial implementation
  • ✅ Implemented: Feature complete in codebase

Note: This is a future product specification. The analyzer app does not yet exist in the codebase. These documents serve as detailed design specifications for future implementation.

Feature Breakdown & Execution Order

Phase 0: Monorepo Setup (Day 1)

  1. F000-MONOREPO-SETUP 📝 🔲 - Clone tools-app and configure as analyzer-app
  2. F000B-SHARED-PACKAGES 📝 🔲 - Integrate MyStoryFlow shared packages

Phase 1: Foundation (Week 1)

  1. F001-PROJECT-SETUP 📝 🔲 - Analyzer App Configuration & Branding
  2. F002-DATABASE-SCHEMA 📝 🔲 - Analyzer Schema in Existing Database
  3. F003-FILE-STORAGE 📝 🔲 - Backblaze B2 Integration
  4. F004-AI-SERVICES 📝 🔲 - AI Service Integration with Admin Tracking

Phase 2: Core Processing (Weeks 2-3)

  1. F005-DOCUMENT-UPLOAD 📝 🔲 - Document Upload System
  2. F006-CONTENT-EXTRACTION 📝 🔲 - Content Processing Pipeline
  3. F007-GENRE-DETECTION 📝 🔲 - AI Genre Classification 7b. F007-MANUSCRIPT-ANALYSIS 📝 🔲 - Manuscript Analysis
  4. F008-TEXT-CHUNKING 📝 🔲 - Text Segmentation for AI Processing

Phase 3: Analysis Engine (Weeks 3-4)

  1. F009-ANALYSIS-FRAMEWORK 📝 🔲 - Core Analysis Engine (200+ evaluation points) 9b. F009-SCORING-EVALUATION 📝 🔲 - Scoring & Evaluation Methods
  2. F010-AI-ANALYSIS-METHODS 📝 🔲 - AutoCrit Feature Parity & Beyond 10b. F010-AI-RECOMMENDATIONS 📝 🔲 - AI-Powered Recommendations
  3. F011-AI-PROMPT-ENGINEERING 📝 🔲 - Advanced Prompt Engineering 11b. F011-COACH-MATCHING 📝 🔲 - Coach Matching System
  4. F012-AI-SCORING-ALGORITHMS 📝 🔲 - Intelligent Scoring System 12b. F012-ADVANCED-ANALYTICS 📝 🔲 - Advanced Analytics
  5. F013-GENRE-SPECIFIC-AI-ANALYSIS 📝 🔲 - Genre-Specific Templates 13b. F013-AI-REPORTING 📝 🔲 - AI-Powered Reporting

Phase 4: Report Generation (Week 4) - Enhanced

  1. F014-REPORT-TEMPLATES 📝 🔲 - Professional Report Templates
  2. F015-EXPORT-SYSTEM 📝 🔲 - Multi-format Export (PDF, HTML)
  3. F016-REVISION-TRACKING 📝 🔲 - Manuscript Version Comparison
  4. [F016B-COMPETITIVE-ANALYSIS] 📝 🔲 - Compare Against Published Works
  5. [F016C-PREDICTIVE-SUCCESS-SCORING] 📝 🔲 - AI Commercial Viability Scoring

Phase 5: User Experience (Week 5) - Enhanced

  1. F017-AUTHOR-DASHBOARD 📝 🔲 - Author Management Dashboard
  2. F018-ANALYSIS-DISPLAY 🔲 - Interactive Analysis Results UI
  3. F019-PROGRESS-TRACKING 🔲 - Improvement Tracking System
  4. F020-NOTIFICATION-SYSTEM 🔲 - Analysis Completion Notifications
  5. [F020B-INTERACTIVE-VISUALIZATION] 🔲 - Heat Maps & Visual Analysis
  6. [F020C-MOBILE-PWA] 🔲 - Progressive Web App

Phase 6: Business Features (Week 6)

  1. F021-SUBSCRIPTION-TIERS 📝 🔲 - Pricing Plans & Billing
  2. F022-USAGE-TRACKING 📝 🔲 - Word Count & Analysis Limits
  3. F023-CONSULTATION-SYSTEM 📝 🔲 - Coach Booking & Management
  4. F024-COACH-MARKETPLACE 📝 🔲 - Coach Profile & Certification
  5. [F024B-BETA-READER-NETWORK] 🔲 - Connect Authors with Beta Readers

Phase 7: SEO & Marketing (Week 7)

  1. F025-LANDING-PAGES 📝 🔲 - Genre-Specific Landing Pages
  2. [F026-BLOG-SYSTEM] 🔲 - Content Marketing Blog
  3. [F027-SEO-OPTIMIZATION] 🔲 - Search Engine Optimization
  4. [F028-AUTHOR-RESOURCES] 🔲 - Free Tools & Resources
  5. [F028B-SUCCESS-STORIES] 🔲 - Published Author Case Studies

Phase 8: MyStoryFlow Integration (Week 7)

  1. [F033-CROSS-APP-NAVIGATION] 🔲 - Unified Navigation Between Apps
  2. [F034-SHARED-BILLING] 🔲 - Integrate with MyStoryFlow Subscriptions
  3. [F035-UNIFIED-ANALYTICS] 🔲 - Cross-App Analytics Dashboard
  4. [F036-STORY-IMPORT] 🔲 - Import Stories from Main App for Analysis
  5. [F037-ADMIN-INTEGRATION] 🔲 - Admin Dashboard Integration for Analyzer

Phase 9: Launch Preparation (Week 8)

  1. F029-TESTING-SUITE 📝 🔲 - Comprehensive Testing Framework
  2. F030-PERFORMANCE-OPTIMIZATION 📝 🔲 - Speed & Scalability Improvements
  3. [F031-SECURITY-AUDIT] 🔲 - Manuscript Privacy & Security
  4. [F032-LAUNCH-SETUP] 🔲 - Analytics, Monitoring & Go-Live

🏆 Competitive Advantages Built Into Platform

vs AutoCrit

  • 200+ evaluation points (vs their ~50)
  • Sub-5-minute analysis (vs unknown processing time)
  • AI-driven insights (vs rule-based analysis)
  • Multi-genre support with genre-specific templates
  • Version comparison with improvement tracking

vs ProWritingAid

  • Manuscript-focused (vs general writing tool)
  • One-time pricing option (vs credit-based system)
  • Integrated coach marketplace (unique feature)
  • Predictive success scoring (unique feature)
  • Visual heat maps for better insights

vs Squibler

  • Deep analysis focus (vs generation focus)
  • Professional reports with export options
  • Market readiness assessment (unique feature)
  • Beta reader network (unique feature)
  • Revision tracking with progress metrics

Implementation Guidelines

MVP-First Approach

  • Week 1-2: Core upload, extraction, and AI analysis
  • Week 3-4: Report generation and basic dashboard
  • Week 5+: Enhanced features and optimizations

Feature Document Structure

Each feature document includes:

  • Objective: Clear MVP goal
  • Quick Implementation: Using NextSaaS components
  • MVP Acceptance Criteria: Must-have features only
  • Post-MVP Enhancements: Future improvements
  • Implementation Time: Realistic estimates

Development Standards

  • Testing: Minimum 80% code coverage
  • Performance: Sub-5-minute analysis for 150k words
  • Security: Encrypted storage, secure API endpoints
  • Mobile: Responsive design using NextSaaS components
  • AI Integration: GPT-4 and Claude with fallbacks

Success Metrics

  • Technical: 95%+ AI accuracy, <5min processing
  • Business: 15% free-to-paid conversion, $540k ARR
  • User: 4.5+ star rating, <2hr support response

Next Steps

  1. ✅ Core foundation documentation complete (F001-F008)
  2. ✅ Enhanced analysis and reporting docs (F009-F017)
  3. 🔲 Begin implementation with F000-MONOREPO-SETUP
  4. 📋 Create remaining documentation as needed
  5. 🚀 Launch MVP (timeline TBD after implementation starts)

Admin Dashboard Integration

The analyzer app deeply integrates with the MyStoryFlow admin dashboard:

Admin Features

  • Usage Analytics Dashboard: Real-time monitoring of analyses, AI token usage, and estimated costs
  • Manuscript Management: View all uploaded manuscripts with status, processing metrics, and user details
  • Reference Data Management: UI for managing manuscript genres, analysis statuses, and other dropdown values
  • AI Model Monitoring: Track performance metrics, costs, and usage patterns for each AI model
  • User Behavior Insights: Identify top users, usage patterns, and subscription conversion rates
  • Revenue Attribution: Track subscription upgrades driven by analyzer features
  • Performance Monitoring: Processing times, success rates, error tracking, and system health

Technical Integration

  • Uses @mystoryflow/admin package for consistent UI components
  • Reports all AI usage to admin dashboard via adminService.reportAnalysis()
  • Implements admin-only routes under /admin/analyzer/*
  • Provides real-time usage monitoring through Supabase channels
  • Integrates with centralized reference data system for dropdown management

Resources

OverviewF000 - Monorepo Setup