# Prompt Chaining

Prompt chaining breaks a complex request into a sequence of smaller AI prompts where each step informs the next.

## Why it matters

Chaining can make intermediate outputs inspectable and give each step a narrower job. It also compounds latency and errors, so the interfaces between steps need validation and the chain should be compared with a simpler single-call baseline.

## Example

A research workflow first extracts claims, then retrieves evidence for each claim, then writes a brief using only claims with supporting sources.

## FAQ

### What is Prompt Chaining in simple terms?

Prompt chaining breaks a complex request into a sequence of smaller AI prompts where each step informs the next.

### Why does Prompt Chaining matter for teams using AI?

Chaining can make intermediate outputs inspectable and give each step a narrower job. It also compounds latency and errors, so the interfaces between steps need validation and the chain should be compared with a simpler single-call baseline.

### What is a practical example of Prompt Chaining?

A research workflow first extracts claims, then retrieves evidence for each claim, then writes a brief using only claims with supporting sources.


Source: https://www.luffy.so/ai-glossary/prompt-chaining

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