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AI Workflow Automation Tool

Visually design and automate AI workflows, supporting multi-model collaboration, conditional branches, loop processing, API integration, build complex AI application processes

Workflow Automation Interface

Visual workflow builder coming soon

Features

  • ✓ Drag-and-drop workflow designer for visual AI task orchestration
  • ✓ Multi-model collaboration support: GPT, Claude, Gemini, local models and hybrid calls
  • ✓ Rich control nodes: conditional branches, loops, parallel execution, error handling, human review
  • ✓ Built-in 100+ AI capability nodes: text generation, image recognition, speech-to-text, data extraction
  • ✓ Supports webhook triggers, scheduled tasks, API integration, connect external systems

How to Use

  1. Create workflow, define input and output parameters
  2. Drag AI nodes to canvas, connect data flow
  3. Configure parameters and model selection for each node
  4. Test run, debug and optimize, deploy to production

FAQ

Which AI models can I connect?

Supports all mainstream AI models: OpenAI GPT series, Anthropic Claude, Google Gemini, locally deployed Llama, Mistral, etc. Also supports custom API interfaces.

How large scale data can workflows handle?

Supports large-scale data processing, can handle millions of data items. Supports batch processing, streaming, distributed execution with automatic optimization based on data volume.

How to monitor workflow execution status?

Provides real-time monitoring dashboard showing execution status, duration, error information for each node. Supports log viewing, performance analysis, alert notifications.

Can I export workflow code?

Yes. Export as Python, Node.js, Go code, or as YAML/JSON configuration for version control and team collaboration.

How to handle errors in workflows?

Supports multiple error handling strategies: retry, fallback, skip, human intervention. Configure independent error handling logic for each node.