Flow GPT

Flow GPT

Live Demo
Next.jsNeon dbPostgreSQLLLMsFastAPIWebSockets

A website to chain different kind of LLM prompts such as text generation, image generation and quality control.

Flow GPT - LLM Workflow Orchestration Platform

A powerful web platform that enables users to chain different types of LLM prompts including text generation, image generation, and quality control in customizable workflows.

Project Overview

Flow GPT revolutionizes how users interact with Large Language Models by providing a visual workflow builder that allows chaining multiple AI operations. From simple text generation to complex multi-step processes involving image creation and quality assurance, Flow GPT makes AI workflows accessible to everyone.

Live Demo

🌐 Experience Flow GPT
Create and execute your own AI workflows with our intuitive interface.

Key Features

🔗 Workflow Chaining

  • Visual Flow Builder: Drag-and-drop interface for creating complex AI workflows
  • Multi-Modal Support: Seamlessly combine text and image generation tasks
  • Conditional Logic: Branch workflows based on AI output analysis
  • Loop Capabilities: Iterate operations for refinement and optimization

🎨 Multi-Modal AI Operations

  • Text Generation: Creative writing, summarization, analysis, and more
  • Image Generation: DALL-E, Midjourney-style image creation
  • Quality Control: Automated content review and validation
  • Data Processing: Text analysis, sentiment detection, entity extraction

⚡ Real-Time Execution

  • WebSocket Integration: Live updates during workflow execution
  • Progress Tracking: Real-time visibility into workflow progress
  • Error Handling: Graceful error recovery and user notification
  • Result Streaming: Immediate display of intermediate results

💾 Persistent Storage

  • Neon Database: Reliable PostgreSQL-based data persistence
  • Workflow Templates: Save and reuse successful workflow patterns
  • Version Control: Track workflow iterations and improvements
  • Collaboration: Share workflows with team members

Technical Architecture

Frontend Infrastructure

React Components → State Management → WebSocket Client → Real-time Updates → User Interface

Backend System

Next.js API Routes → FastAPI Backend → LLM APIs → Database Operations → WebSocket Server

Core Technologies

  • Frontend: Next.js 14 with React 18
  • Backend: FastAPI for high-performance API operations
  • Database: Neon PostgreSQL for reliable data persistence
  • Real-time: WebSocket for live workflow execution updates
  • AI Integration: Multiple LLM provider APIs

Workflow Types

1. Content Creation Pipeline

Topic Input → Research Phase → Content Generation → Quality Review → Final Output

Use Case: Blog posts, articles, marketing content

2. Image Generation Workflow

Text Description → Style Analysis → Image Generation → Quality Assessment → Refinement Loop

Use Case: Social media content, product mockups, creative assets

3. Data Analysis Chain

Data Input → Preprocessing → Analysis → Visualization → Report Generation

Use Case: Business intelligence, research analysis, data insights

4. Quality Assurance Flow

Content Input → Grammar Check → Fact Verification → Tone Analysis → Approval Gate

Use Case: Content publishing, document review, compliance checking

Implementation Details

Workflow Engine

  • Node-Based Architecture: Each operation is a discrete node with inputs/outputs
  • Dependency Resolution: Automatic handling of node dependencies and execution order
  • Error Propagation: Intelligent error handling with fallback strategies
  • Resource Management: Efficient allocation of computational resources

Database Schema

-- Workflows table
workflows: id, user_id, name, description, config, created_at, updated_at

-- Executions table
executions: id, workflow_id, status, inputs, outputs, logs, duration

-- Nodes table
nodes: id, workflow_id, type, config, position, connections

-- Templates table
templates: id, name, description, workflow_config, is_public

API Integration

  • Multiple Providers: OpenAI, Anthropic, Google, and custom models
  • Rate Limiting: Intelligent request management and queuing
  • Cost Optimization: Model selection based on task requirements
  • Fallback Systems: Automatic failover between providers

Advanced Features

Visual Workflow Builder

  • Drag-and-Drop Interface: Intuitive node-based workflow creation
  • Real-time Validation: Immediate feedback on workflow validity
  • Auto-completion: Smart suggestions for node connections
  • Templates Library: Pre-built workflows for common use cases

Execution Environment

  • Parallel Processing: Concurrent execution of independent workflow branches
  • Conditional Branching: Dynamic workflow paths based on AI outputs
  • Loop Controls: For/while loop constructs for iterative operations
  • Variable Management: Dynamic variable passing between nodes

Quality Control Systems

  • Output Validation: Automated quality checks for AI-generated content
  • Human-in-the-Loop: Optional human review checkpoints
  • A/B Testing: Compare different workflow variations
  • Performance Metrics: Detailed analytics on workflow performance

User Experience

Workflow Creation

  1. Template Selection: Choose from pre-built templates or start from scratch
  2. Node Configuration: Configure each step with specific parameters
  3. Connection Setup: Link nodes to create the desired workflow
  4. Testing: Run test executions with sample inputs
  5. Deployment: Activate the workflow for production use

Execution Monitoring

  • Live Dashboard: Real-time view of active workflow executions
  • Progress Indicators: Visual progress bars for each workflow step
  • Log Streaming: Live logs and debug information
  • Performance Metrics: Execution time, cost, and success rates

Development Challenges & Solutions

Challenge 1: Complex State Management

Problem: Managing complex workflow state across multiple components Solution: Implemented Redux-like state management with immutable updates

Challenge 2: Real-time Updates

Problem: Providing real-time feedback during long-running AI operations Solution: WebSocket implementation with efficient message queuing

Challenge 3: Error Recovery

Problem: Handling failures in complex multi-step workflows Solution: Checkpoint system with automatic retry and rollback capabilities

Performance & Scalability

Optimization Strategies

  • Lazy Loading: Components and data loaded on demand
  • Caching: Intelligent caching of workflow results and templates
  • Connection Pooling: Efficient database connection management
  • CDN Integration: Fast delivery of static assets

Scalability Features

  • Horizontal Scaling: Stateless architecture supports multiple instances
  • Load Balancing: Intelligent distribution of workflow executions
  • Auto-scaling: Dynamic resource allocation based on demand
  • Monitoring: Comprehensive application performance monitoring

Use Cases & Applications

Content Marketing

  • Blog Post Generation: Research → Outline → Writing → SEO optimization
  • Social Media: Content ideation → Creation → Optimization → Scheduling
  • Email Campaigns: Audience analysis → Content creation → A/B testing

Business Intelligence

  • Report Generation: Data analysis → Visualization → Narrative generation
  • Market Research: Data collection → Analysis → Insight extraction
  • Competitive Analysis: Monitoring → Comparison → Strategic recommendations

Creative Projects

  • Storytelling: Plot development → Character creation → Scene writing
  • Design Workflows: Concept → Mockup → Refinement → Final delivery
  • Content Adaptation: Format conversion → Style adaptation → Quality assurance

Future Roadmap

Planned Features

  • Mobile App: Native mobile application for workflow management
  • API Marketplace: Third-party integrations and custom nodes
  • Team Collaboration: Advanced sharing and collaboration features
  • Analytics Dashboard: Comprehensive workflow performance analytics

Technical Enhancements

  • Edge Computing: Reduce latency with edge-based processing
  • Custom Models: Support for fine-tuned and custom AI models
  • Workflow Versioning: Advanced version control and rollback
  • Enterprise Features: SSO, advanced security, compliance tools

Technical Specifications

  • Frontend: Next.js 14, React 18, TypeScript
  • Backend: FastAPI, Python 3.9+
  • Database: Neon PostgreSQL with Prisma ORM
  • Real-time: WebSocket with Socket.io
  • AI APIs: OpenAI, Anthropic, Google Vertex AI
  • Deployment: Vercel (Frontend), Railway (Backend)
  • Security: JWT authentication, input validation, rate limiting