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LangChain

Building LangChain Workflows With Purpose

Chains are useful when each step contributes to a clear outcome and can be evaluated independently.

By RaydyantRaydyant Insights

A chain should not exist simply because a model call can be wrapped in one. Each step should transform information, select a tool, retrieve context, or produce a decision the next step needs.

Keep prompts, tools, inputs, outputs, and errors observable. That makes a workflow easier to test and improve as the product gains real usage.

Good digital work keeps learning after launch. The ideas in this article are starting points for a conversation about the people, workflows, and outcomes behind your product.

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