Introduction
Build AI workflows visually without code
Visual Workflow AI is a visual workflow editor that enables you to build AI-powered applications by connecting blocks on a canvas. Drag and drop components to create chatbots, automation workflows, and data processing pipelines without writing code.
What Makes Visual Workflow AI Powerful
Multi-Model AI Support - Connect to OpenAI, Anthropic, Google, Groq, Cerebras, and local models through Ollama. Switch providers without rebuilding workflows.
60+ Pre-Built Tools - Gmail, Slack, Notion, Google Sheets, Airtable, Supabase, Pinecone, and more. Extensible architecture allows custom tool integration.
Flexible Execution - Run workflows via chat interface, REST API, webhooks, scheduled jobs, or trigger from external systems.
Production Deployment - Deploy as APIs, integrate with existing systems or embed as plugins. Built-in monitoring, logging, and error handling.
Real-time Collaboration - Work simultaneously with team members on the same workflow, like Google Docs for AI development.
Connect multiple AI models, integrate with 60+ services, and deploy production-ready applications through an intuitive visual interface designed specifically for AI development.
Core Building Blocks
Processing Blocks
- Agent - Execute AI model inference with any LLM provider
- API - Connect to REST endpoints and external services
- Function - Run custom JavaScript for data processing
Logic Blocks
- Condition - Create branching logic based on data evaluation
- Router - Route execution paths using AI-powered decision making
- Loop - Iterate over collections sequentially
- Parallel - Execute multiple operations concurrently
Output Blocks
- Response - Format and return final workflow results
- Evaluator - Validate outputs against defined criteria
Built-in Integrations
AI Models: OpenAI, Anthropic, Google, Groq, Cerebras, Ollama
Communication: Gmail, Slack, Telegram, WhatsApp, Microsoft Teams
Data Sources: Notion, Google Sheets, Airtable, Supabase, Pinecone
Web Services: Firecrawl, Google Search, Exa AI, Perplexity
Development: GitHub, Jira, Linear, browser automation
Use Cases
AI Assistants - Build chatbots with web search, calendar access, and email capabilities
Content Generation - Create blog posts, social media content, and marketing materials
Data Processing - Extract insights from documents, analyze datasets, and generate reports
Process Automation - Automate business workflows with event-driven triggers
API Orchestration - Combine multiple services into unified endpoints
Key Features
Multi-Provider AI Support - Switch between OpenAI, Anthropic, Google, and local models without rebuilding workflows
Real-time Collaboration - Work simultaneously with team members on the same workflow
Production-Ready - Built-in error handling, logging, and monitoring for production deployments
Local Development - Test with Ollama locally, then deploy with cloud providers
Getting Started
Ready to build your first workflow? Our Getting Started guide will walk you through creating a customer support assistant in under 10 minutes.