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How RutMe's AI Plans a 3-Day Wayanad Trip

A behind-the-scenes look at the inputs, the prompts, and how we keep the AI grounded in real local data — not generic web pulp.

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RutMe TeamRutMe
ai inside

"AI trip planner" can mean anything from a genuinely useful itinerary to a chatbot re-stating the first page of Google results. Here's what actually happens when you use RutMe's planner.

What the planner actually asks for

Destination, dates, trip length, travel style, and interest tags — that's it on the input side. No lengthy questionnaire, because most of the actual personalisation happens on the data side, not the prompt side.

Why it doesn't just guess

The model is grounded against RutMe's own attractions, restaurants, stays, and local-guide database for Karnataka and Kerala — not the open web. That's the difference between an itinerary that says "visit a local waterfall" and one that names Kanthanpara specifically, with real opening hours and an accurate walk-in time.

What comes out the other end

A day-wise itinerary you can edit stop by stop, with budget tracking and TrailGuard safety layered in automatically wherever the route passes through a ghat or forest section. Try it yourself on the Plan My Trip page.

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RutMe Team

Notes from the RutMe product team on how the AI trip planner is built.

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