Prompt Chaining
Prompt chaining is an AI interface design pattern that visualizes the multi-step reasoning process of AI agents, showing how input A leads to output B, which becomes input C, and so on. This UX pattern makes complex agent workflows transparent and understandable by displaying the logical chain of reasoning, tool calls, and intermediate results. Users can see each step in the agent's process, understand how decisions were made, and verify the logic flow. This pattern is crucial for building trust in AI agents, especially for complex tasks where users need to understand how the agent arrived at its conclusion. It's particularly valuable in workflow automation, data processing, and multi-step problem-solving scenarios.
Use Case
Ideal for workflow automation tools, AI agent platforms, and complex reasoning applications where transparency about the agent's thought process builds user trust.
Examples in Wild
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Pattern Description:Related Patterns
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