ProjectDocsEngine's answer

ProjectDocsEngine is the only documentation platform built specifically for AI-native development workflows. Unlike generic AI tools or traditional doc generators, we offer:

• Synchronized Multi-Document System: Generate 15 interconnected documents that reference each other intelligently
• Command Mode Updates: Update all documentation simultaneously with natural language - no other tool does this
• AI Token Optimization: Specifically designed to reduce Lovable, Bolt, Cursor/Copilot , ClaudeCode costs by 70% through perfect context
• Credit-Based Flexibility: Pay only for what you use, with options for every project size
• Living Documentation: Docs that evolve with your project, not static one-time outputs

ProjectDocsEngine's answer

1. Time & Cost Efficiency: Save 10-20 hours per project and reduce AI coding costs by 70%
2. Zero Learning Curve: No templates, forms, or markdown knowledge required - just describe your project
3. Always-Current Docs: Command mode keeps documentation synchronized with code changes
4. Professional Quality: Enterprise-grade documentation that impresses clients and investors
5. Flexible Pricing: Start at just $0.40 per project with our credit system
6. Built for Modern Dev: Designed for developers using AI tools daily, not legacy workflows

ProjectDocsEngine's answer

Our primary audience is AI-native developers who:

• Use Cursor, GitHub Copilot, Claude, or ChatGPT daily for coding
• Build SaaS products, APIs, or complex applications
• Value efficiency and hate repetitive documentation tasks
• Spend $100+ monthly on AI coding tools
• Need professional docs for clients, teams, or compliance
• Are early adopters who embrace AI-powered workflows
• Work on multiple projects simultaneously
• Prioritize shipping fast over perfect documentation

ProjectDocsEngine's answer

ProjectDocsEngine was born from frustration. As developers, we spent countless hours writing documentation that became outdated the moment we pushed new code. We watched our AI coding bills skyrocket because we had to repeatedly explain our project structure to Cursor and Copilot.

The breaking point came during a hackathon when we spent more time documenting than coding. We realized that if AI could write code, it should write docs too - but better. Not just generate once and forget, but create living documentation that evolves with the project.

We built ProjectDocsEngine to be the documentation co-pilot we wished we had - one that understands your project deeply and keeps everything in perfect sync.

ProjectDocsEngine's answer

Frontend:

• React 18 with TypeScript for type-safe development
• Tailwind CSS for responsive, modern UI
• Vite for lightning-fast development
• Zustand for state management

Backend:

• Supabase for real-time database and authentication
• Edge Functions (Deno) for serverless API endpoints
• Trigger .dev for long-running document generation tasks
• PostgreSQL with RLS for secure data storage

AI/ML:

• OpenAI for document generation
• Anthropic Claude for complex analysis
• Google Gemini for specific use cases
• OpenAI Embeddings for Q&A functionality

Infrastructure:

• Vercel for global edge deployment
• Pusher for real-time progress updates
• PayPal for subscription management