Rather than asking once and accepting the first answer, iterative prompting uses feedback loops where you respond to the AI's output with requests for refinement, additional angles, or corrections. This collaborative back-and-forth lets you steer toward nuanced, useful responses that a single prompt might never produce.
Iterative prompting is the process of treating an AI conversation as a progressive refinement cycle, where each follow-up message critiques, redirects, or builds upon the previous response rather than starting fresh each time.
Skilled AI users rarely accept the first output as final, and understanding how to give targeted correction instructions within the same conversation is what separates people who get good results from those who get great ones.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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