Structuring your prompts to AI like building blocks—separate sections for destination research, logistics, accommodation preferences, activity interests—so that each piece can be modified independently without rebuilding the entire request. This architectural approach scales well when you're researching five cities instead of one.
Modular prompt architecture is a structured approach to travel research where a complex multi-destination trip is broken into discrete, self-contained prompt modules - each covering one destination, leg, or planning category - that are developed independently and then combined into a unified itinerary.
This framework prevents AI context overload on long trips, keeps outputs focused and accurate, and allows travelers to update or swap individual segments without rebuilding the entire plan from scratch.
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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