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AI glossary

Prompt Chaining

Prompt chaining is the practice of breaking a task into several prompts, where the output of each AI step becomes the input for the next.

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In this guide

  1. 1What Prompt Chaining means
  2. 2Why Prompt Chaining matters

What Prompt Chaining means

Asking an AI to do a complex job in one giant prompt often gives messy results. Prompt chaining splits the work into a sequence of smaller, focused prompts, passing the result of each step along to the next.

For example, to create an article you might chain three prompts: one to generate an outline, a second to expand that outline into a draft, and a third to polish the tone. Each step does one job well.

Why Prompt Chaining matters

Prompt chaining is how you get AI to handle bigger, multi-step tasks reliably. It is a core idea behind building real AI workflows and agents.

It breaks complex tasks into manageable, reliable steps
Each focused step produces higher-quality output
It is the foundation of multi-step AI workflows
No-code tools make it easy to chain prompts visually

Frequently asked questions

Chain-of-thought asks the AI to reason step by step within one prompt. Prompt chaining uses several separate prompts, passing each result to the next - useful for larger, multi-stage tasks.

More AI terms

AI AgentSoftware that uses AI to pursue a goal on its own - deciding the steps and taking actions to get there.Agentic AIAI systems that act with autonomy - planning, deciding, and carrying out multi-step tasks toward a goal.Generative AIAI that creates new content - text, images, audio, or code - based on patterns learned from data.Artificial IntelligenceTechnology that lets computers perform tasks that normally require human intelligence, like understanding language.ChatbotA program that holds a conversation with people through text or voice to answer questions or complete tasks.AI AutomationUsing AI to complete repetitive tasks automatically, often by connecting apps into a hands-off workflow.

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