Trip planning with AI works best as a loop: you specify what you want, AI generates options, you evaluate and request changes, AI adjusts, and you assess again—repeating until the plan actually serves your needs. This iterative rhythm prevents the common problem of over-planning or under-planning by letting reality inform each adjustment.
Iterative refinement loops describe the process of progressively improving an AI-generated travel plan through a sequence of follow-up prompts, each one correcting, narrowing, or expanding on the previous output rather than starting from scratch.
This technique is essential for complex multi-destination trips because it allows travelers to preserve useful context while systematically eliminating suggestions that do not fit their schedule, budget, or interests across multiple conversational turns.
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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