AI Platform

AI Document Processing Pipeline

Production SaaS platform that processes large documents through a multi-stage AI pipeline using Claude API. Hybrid architecture where AI extracts structured data and deterministic code validates output. Built with Hatchet job orchestration, parallel processing, and comprehensive error recovery.

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Built With:

Claude APIOpenRouterHatchetSupabaseNode.jsTypeScriptNext.jsRedisDocker
AI Platform
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Multi-Stage AI
pipeline
High Accuracy
accuracy
Parallel
processing
Hybrid AI+Code
architecture

Core Features by User Role

AI Pipeline

  • Multi-stage document ingestion and processing through chained AI stages
  • Engineered prompts with structured output parsing and validation at every stage
  • Hybrid AI + deterministic architecture where AI suggests and code validates
  • Parallel partition processing for speed and accuracy at scale
  • Prompt template systems with context-aware variable injection

Data Processing

  • Code-based data deduplication with smart conflict resolution rules
  • AI-powered classification across parallel data partitions
  • Stage-wise output access with download APIs and UI components
  • Comprehensive error handling and recovery across pipeline stages
  • Real-time progress tracking and status updates

Platform

  • Multi-tenant architecture with role-based access control
  • Job orchestration with Hatchet for reliable pipeline execution
  • Supabase (PostgreSQL) for structured data storage
  • Redis caching for performance optimization
  • Docker deployment on Railway with Vercel frontend

UI/UX Features

Real-time pipeline status dashboard with stage-by-stage progress
Document upload and processing interface with drag-and-drop
Stage-wise output viewer with structured data display
Download APIs for processed results in multiple formats
Error tracking and retry interface for failed pipeline stages

Technical Features

Hatchet job orchestration for reliable multi-stage pipeline execution
Claude API via OpenRouter with structured output parsing
Turborepo monorepo with shared packages and type safety
Vitest testing suite for pipeline logic validation
Docker containerization with Railway deployment

Key Highlights

✅Production AI pipeline processing real documents at scale
✅Claude API integration with structured output parsing
✅Hybrid architecture: AI suggests, deterministic code validates
✅Hatchet job orchestration for reliable pipeline execution
✅Parallel processing for speed with validation for accuracy
✅Supabase + Redis for data storage and caching
✅Docker deployment with CI/CD pipeline
✅Comprehensive error recovery across all stages

Client Testimonial

"The hybrid AI pipeline processes our documents with remarkable accuracy. The combination of AI extraction with deterministic validation gives us confidence in the output quality."

— Platform Client

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