You can deliberately shape how an AI responds over multiple turns by feeding it critiques of previous outputs, telling it what worked and what didn't. This teaches the model your preferences within a single conversation, making it progressively more useful without needing to rewrite your entire prompt.
An AI feedback loop is the practice of responding to AI output with specific, structured critique rather than starting over, guiding the model to refine its response through targeted corrections and clarifications within the same conversation.
Mastering this skill transforms how quickly you reach usable output, because you learn to treat AI like a collaborator who needs direction rather than a vending machine that either delivers or does not.
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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