AI-WORKFLOWS-AUTOMATION5 MIN READ
Prompt Chains Beat One Giant Prompt
Diagnose when a workflow should be decomposed into chained LLM steps.
A chain earns its keep when it reveals the failure point. Why this pattern works Prompt chaining works when the task can be decomposed into fixed subtasks. Each call does less, so the workflow becomes easier to debug and easier to constrain. What to design explicitly Name each step by job, not by vendor: extract, classify, draft, validate, write. Then decide which handoff is important enough to gate. What to avoid Do not chain tiny tasks that already succeed in one pass. Extra orchestration without a clear control benefit is just latency.
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