Prompt Chaining & Pipelines: Building Multi-Step AI Workflows
By Learnia Team
Prompt Chaining and Pipelines: Multi-Step AI Workflows
This article is written in English. Our training modules are available in multiple languages.
A single prompt can answer a question. A chain of prompts can run a business process. Prompt chaining is the technique that transforms AI from a Q and A tool into a workflow engine — where each step feeds the next, decisions route dynamically, and complex tasks decompose into reliable sub-tasks.
Why Chain Prompts?
A single prompt that tries to do everything fails in predictable ways: it forgets constraints, mixes up sections, and produces inconsistent quality. Chaining solves this by giving each step a focused job.
Think of it like an assembly line. One worker who builds an entire car from scratch makes mistakes. A team of specialists — each doing one thing excellently — produces a perfect car every time.
The Four Chain Patterns
Building Your First Chain
Error Handling in Chains
Advanced: Parallel and Loop Patterns
Test Your Understanding
Next Steps
You now know how to build multi-step AI pipelines. In the next article, you will learn prompt routing — using conditional logic to dynamically choose which prompt runs based on input characteristics.
- →Agent Architecture Patterns — Prompt Chaining as the first pattern in agent architectures
Continue to Prompt Routing and Conditional Logic to build intelligent workflows.
Module 4 — Chaining & Routing
Build multi-step prompt workflows with conditional logic.
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FAQ
What will I learn in this Prompt Orchestration guide?+
Learn to chain AI prompts into powerful multi-step pipelines. Covers sequential chains, parallel execution, error handling, and real-world workflow patterns.