Unverified50% confidenceFactExact time
Prompt chaining is decomposing a complex task into multiple sequentially called LLM steps, where each step's output serves as the next step's input, offering three engineering advantages: observability, cost optimization, and controllability.
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10/17/2026
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Related Claims
UnverifiedPrompt Chaining decomposes complex tasks into multiple sequentially executed steps using only a single LLM instance throughout, and sits between a single call and a full agent on Anthropic's agent system maturity ladder.78% similarVerifiedA workflow chains multiple steps into an ordered process, suitable for scenarios where task logic is fixed and predictable.78% similarUnverified在自托管场景下分步执行提示链可控制每步token消耗，并能在中间环节加入验证逻辑，提升产出可靠性74% similarUnverifiedThe appropriate standard for subtask decomposition is: each subtask can be completed within a single LLM call, with clear inputs and verifiable outputs74% similarVerifiedThe orchestration layer in a multi-agent system is responsible for task decomposition, scheduling order among agents, and the transfer and validation of intermediate results.73% similar
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