Building an AI Travel Budgeting Tool After Planning a Japan Trip

Sebastian Alexis — Tue, 24 Feb 2026 21:16:39 +0000

A few months ago, my partner and I started planning a trip to Japan.

Tokyo. Kyoto. Osaka. Maybe Hiroshima.

It sounded simple.

It wasn’t.

Flights had different prices depending on the platform.
Hotels varied massively by neighborhood.
JR Pass vs individual train tickets.
Daily food budget? Unclear.
Transport costs? Confusing.

We had more than 20 browser tabs open and still felt uncertain about our total budget.

The Real Problem

The issue wasn’t lack of information.

There’s too much information.

The real challenge is decision-making under uncertainty.

How much should you realistically budget per day in Tokyo?
Is that flight price expensive or normal?
Is it smarter to stay centrally or commute?
Should you rent a car or rely on public transport?

Travel planning today is less about finding options and more about structuring decisions.

Why I Built TripPilot AI

I decided to build a tool for myself that could:

Estimate total trip costs based on multiple factors

Break down budgets by category

Compare transport options

Simulate different travel scenarios

Generate structured travel strategy PDFs

Not a booking engine.
Not another aggregator.

A decision-support system for smarter travel planning.

That’s how TripPilot AI was born:
👉 https://trippilot-ai.vercel.app

What I’m Learning

Building this product taught me:

Travelers struggle with budget uncertainty more than inspiration.

People want structure, not more tabs.

A simple PDF summary increases perceived value dramatically.

Clear positioning is harder than building the tool itself.

What’s Next

Right now I’m validating:

Whether people would pay for structured travel planning

If AI-driven cost estimation builds trust

How to differentiate from booking platforms

If you’re building in the travel or AI space, I’d love to connect.

DEV Community: Sebastian Alexis

Building an AI Travel Budgeting Tool After Planning a Japan Trip