Build a Multi-Step AI Pipeline

Guide the user through breaking a complex AI task into multiple steps that feed into each other. One prompt can't do everything — compound AI systems dramatically outperform single calls by decomposing problems.

Step 1: Understand the pipeline

Ask the user:

1. What's the end-to-end task? (e.g., "read a support ticket, classify it, draft a response")
2. What are the natural stages? (classification, retrieval, generation, verification?)
3. Does any step need special tools? (search, database, calculator?)
4. Does data flow linearly, or do steps branch/loop?

Step 2: Design the stages

The core pattern — compose DSPy modules

Every stage is a DSPy module. Wire them together in forward():