Travel style is deeply personal—someone's perfect trip might be solitary exploration while another thrives on structured group activities. By anchoring an AI to examples of trips that felt right to you, it learns to distinguish between destinations that match your rhythm versus ones that sound good in theory.
Few-shot prompting is a technique where you provide an AI with two to five examples of the type of output you want before making your actual request, teaching the model your preferred format, tone, and decision-making criteria through demonstration rather than lengthy explanation. In travel planning, this means showing AI a sample itinerary or review that reflects your style before asking it to generate a new one.
This approach is especially powerful for travelers who have strong but hard-to-articulate preferences, because a few concrete examples communicate taste and judgment far more efficiently than a list of abstract requirements, leading to AI outputs that feel personalized from the very first draft.
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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