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AI Prompt Chain Builder

Visually build complex AI prompt chains, supporting multi-step task decomposition, conditional branches, variable passing, boost AI output quality by 300%

Tool Interface

Interactive tool will be available soon

Features

  • Visual drag-and-drop prompt chain building, no coding required
  • Multi-step task decomposition, break down complex tasks easily
  • Supports conditional branches, loops, variable passing and advanced logic
  • 100+ built-in preset templates for writing, coding, analysis scenarios
  • Export to JSON, Python, JavaScript code

How to Use

  1. Select start node, input initial prompt
  2. Drag to add processing nodes (AI calls, conditions, variable handling)
  3. Connect nodes, set data flow and variable mapping
  4. Test run, optimize prompt chain

FAQ

What is a prompt chain?

A prompt chain breaks down complex tasks into multiple steps, each using different prompts, where the output of one step becomes the input of the next, forming a chain processing flow.

What AI models are supported?

Supports OpenAI GPT-4/3.5, Claude 3.5/3, Gemini Pro, Llama 2 and other mainstream LLMs, can mix different models.

Can it handle multimodal tasks?

Supports text, image, audio and other multimodal input/output, can build cross-modal processing chains.

How to debug prompt chains?

Supports step-by-step execution, breakpoint debugging, intermediate result viewing for easy problem location and prompt optimization.

Can I share and reuse prompt chains?

Yes. Supports export to JSON format for sharing, and can be published to the template library for others to use.