Inspiration

We built wAI because we were tired of the 20-tabs-open travel planning nightmare, bouncing between Google Sheets, TikTok, ChatGPT, booking platforms, etc. just to make a trip happen. And generating itineraries with conversational AI meant relying on long prompts, inconsistent formatting, and losing details every time small changes were needed. We wanted a tool that kept the speed of AI, but offered structure, editability, and persistence, something that felt more like software built for trips, rather than a one-off text response. We believe that planning for a vacation is supposed to be fun and exciting, not tedious and overwhelming.

What it does

wAI is an AI-assisted travel itinerary builder that creates structured itineraries users can revise, personalize, and save under their own accounts. Instead of static outputs, wAI maintains layout consistency and preserves key preferences. Users can:

  • Generate a full travel plan from simple prompts (Destination, duration, budget, pace, etc.)
  • Edit details, adjust itineraries, and reprompt AI without losing the parts they like
  • Store multiple trips and return to them at any time

The goal is to remove friction, not add more — turning AI from a one-shot generator into a flexible planning companion.

How we built it

wAI was developed full-stack with:

  • React / Next.js for the front-end UI, routing, and component structure
  • AWS (Amplify, DynamoDB, Cognito, Lambda, API Gateway) for backend services, authentication, data storage, and AI-driven itinerary generation)
  • Mapbox for map visualization, location context, and geospatial features
  • Figma for prototyping and UI/UX design workflow

We focused on making the UI intuitive, keeping the data model flexible enough to handle edits, and ensuring that user-specific itineraries could persist reliably.

What's next for wAI

  • Collaborative itineraries that allow friends, family, or teams to co-edit trips in real time
  • Accommodation modules, including hotel listings, stay preferences, and location-based recommendations
  • Travel-time mapping between destinations to help users plan realistic schedules and avoid inefficient routing
  • Budgeting functionality that tracks transportation, lodging, food, and activity costs
  • Savings planner where users can set financial goals and allocate funds toward an upcoming trip
  • Business travel configuration to support corporate use cases, itinerary templates, approval flows, and scaled deployment for teams

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