Chain multiple AI steps into one reliable pipeline. Use when your AI task is too complex for one prompt, you need to break AI logic into stages, combine classification then generation, do multi-step reasoning, build a compound AI system, orchestrate multiple models, or wire AI components together. Also used for LangChain LCEL alternative, how to chain LLM calls together, one prompt is not enough,
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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:
What's the end-to-end task? (e.g., "read a support ticket, classify it, draft a response")
What are the natural stages? (classification, retrieval, generation, verification?)
**Does any
[Description truncada. Veja o README completo no GitHub.]
