When a single prompt isn’t enough, we chain them together. Prompt chaining is one of the most practical patterns for building AI workflows - breaking complex tasks into focused steps where each agent’s output feeds into the next. In this post, I’ll explore how to design, validate, and implement effective prompt chains.
AI systems that work once under ideal conditions are interesting. AI systems that work reliably in production are valuable. In this final post of the series, I’ll share techniques for building robust AI workflows - connecting multiple reasoning steps, validating outputs along the way, and creating systems that improve through iteration.
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