Prompt Chaining
Pipelining LLM calls where each step's output feeds the next.
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Prompt Chaining is the practice of decomposing a complex task into a sequence of smaller LLM calls, each handling one transformation, to increase reliability and debuggability. Pipelining LLM calls where each step's output feeds the next.
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What is Prompt Chaining?
Prompt Chaining is the practice of decomposing a complex task into a sequence of smaller LLM calls, each handling one transformation, to increase reliability and debuggability.
What is an example of Prompt Chaining?
Step 1 extracts entities, step 2 classifies them, step 3 writes a summary referencing each classification.
Why does Prompt Chaining matter?
Pipelining LLM calls where each step's output feeds the next.
What should I learn after Prompt Chaining?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
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Related concepts
The vocabulary this page depends on.
- →LangGraph Framework
LangGraph is a Python library built on LangChain that enables building stateful, multi-actor applications with LLMs by modeling agentic workflows as graphs. It allows for defining complex agent behaviors, including loops and conditional logic, crucial for advanced AI agent orchestration.
- →Few-Shot Prompting
Showing the model 2–5 examples of the task inside the prompt so it mirrors the pattern.
- →System Prompt
A high-priority instruction that sets the model's role, tone and constraints for the whole conversation.
- →Prompt Template
A reusable prompt with named variables filled at runtime.
Related workflows
Turn this into a repeatable process.
- →Automated Competitor Research
From a product description to a structured competitor matrix in under 10 minutes.
- →AI Content Factory: One Topic to Ten Assets
Convert a single topic into a full multi-channel content drop.
- →YouTube Script Automation Pipeline
Turn a video idea into a structured, hook-driven script.
- →Prompt Library Operations
Version, evaluate, and reuse prompts as operational assets rather than loose text snippets.
Related prompts
Reusable prompts for this job.
- →Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
- →YouTube Script Prompt (Retention-Optimized)
Generate a hook-driven script tied to retention beats.
- →Prompt Improver Prompt
Iterate a weak prompt into a strong one using best practices.
- →JSON Extractor Prompt
Extract structured JSON from any unstructured text.