Recipe Overview

When faced with a complex multi-step task, breaking it into sequential prompts can simplify the problem for the model. A prompt chaining agent tackles a problem step by step, where the output of one LLM call feeds into the next. This avoids overwhelming a single prompt with complexity. For example, Anthropic notes that prompt chaining clarifies tasks by having the LLM solve subtasks in order. In practice, the agent might first outline an answer and then refine it in stages. This approach solves tasks like document drafting or coding by iteratively expanding on partial results, keeping each step manageable and improving consistency.