By showing an AI a few examples of local experiences you love—a specific neighborhood market, a type of cuisine you seek out, how you like to spend your time—it learns your aesthetic and can apply that judgment to entirely new places. It's more powerful than describing preferences because it works from patterns in what you actually choose.
Few-shot prompting is a technique where you provide an AI with a small number of examples that illustrate the style, tone, or type of output you want before making your actual request. In travel contexts, this means showing the AI two or three examples of experiences you have loved in the past so it can recognize your taste patterns and generate highly personalized local recommendations that go beyond generic tourist suggestions.
This approach is especially powerful for travelers who struggle to articulate their preferences in abstract terms, since concrete examples communicate more precisely than descriptions and lead to AI suggestions that feel genuinely curated rather than algorithmically generic.
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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