Create a web application that helps users plan their trips easily and quickly using AI. The app should begin by asking the user for key travel inputs in a structured way. These inputs include the departure location, meaning the city and country from which the user is starting their journey, as well as the destination, which can be either a city or a country. It should also request the travel dates or the overall duration of the trip in number of days. In addition, the user should provide a total budget or a per-person budget, select the currency in which all financial information will be displayed (such as EUR, USD, HUF, or GBP), specify the number of travelers, and choose the language in which the final travel plan will be generated. The entire output must be written fully in the selected language. Based on these inputs, the application should generate a complete and structured travel plan organized clearly by day. It should include suggested places to visit, each accompanied by a short description and an explanation of why the location is worth visiting. The plan should also provide accommodation recommendations that are aligned with the user’s budget level and chosen destination, as well as transportation advice explaining how to get around within the destination and, when relevant, how to travel there from the departure location.The application should additionally present a simple budget overview that shows how the total budget can realistically be distributed across different expense categories. At the end, it should generate a clear and practical summary of the entire trip. The output must be easy to read, well structured, and focused on usefulness rather than long or overly detailed descriptions. The app should also support functionality that allows users to regenerate the travel plan to receive alternative versions, edit their inputs and immediately see updated results, and use a clean, modern user interface that is optimized for both mobile and desktop devices. It should further include features such as saving the itinerary or downloading it as a PDF. The tone of all generated travel plans should remain practical, friendly, and concise throughout.
As optional advanced features, the application may include a map-based visualization of the recommended places, alternative suggestions that are either cheaper or more efficient, and curated recommendations for hidden gems or less touristy locations.
I'll help you build this AI-powered trip planning application. Let me start by generating design inspiration and understanding the codebase structure.
Now let me read the current layout and globals.css to understand the existing setup, and also check the example files for AI SDK patterns:
Now let me install the required dependencies and then build the application:
Now let me create the application. I'll start with the globals.css for the travel theme, then build the components:
Now let me update the layout with proper metadata and then create the main components:
Now let me create the type definitions and the API route:
Now let me create the main components. First, the trip form:
Now let me create the map component:
Now let me create the loading skeleton component and the main page:
Now I need to add Leaflet CSS. Let me update the globals.css to include it:
Now let me also update the font configuration in the theme:
Now let me check if there are any missing components (like Progress) and install the date-fns package:
Good, the components exist. Let me verify the app is working by checking the debug logs:
It looks like the server had an issue. Let me check again:
Let me use the agent-browser skill to check if the app is running:
The page is blank. Let me wait and reload:
The Agent timed out. Type a new prompt to continue.
The preview failed to compile with the following build error:
./app/globals.css:5227:8
Parsing CSS source code failed
5225 | }
5226 | }
> 5227 | @import 'https://unpkg.com/leaflet@1.9.4/dist/leaflet.css';
| ^
5228 | .leaflet-container {
5229 | font-family: inherit;
5230 | }
@import rules must precede all rules aside from @charset and @layer statements
Generated code of PostCSS transform of file content of app/globals.css:
./app/globals.css:5227:8
5225 | }
5226 | }
> 5227 | @import 'https://unpkg.com/leaflet@1.9.4/dist/leaflet.css';
| ^
5228 | .leaflet-container {
5229 | font-family: inherit;
5230 | }
Import trace:
Client Component Browser:
./app/globals.css [Client Component Browser]
./app/layout.tsx [Server Component]
Revise the code to address the error.
I was previewing: /
I need to fix the CSS import order issue. The Leaflet CSS should be loaded differently - I'll add it via the layout.tsx instead of globals.css.
Now I'll remove the @import from globals.css and add the Leaflet CSS via a link tag in the layout:
Now let me take a screenshot to verify the app is working:
The error is still cached. The file still shows the old content. Let me read and verify the current file:
The file looks correct now - the @import is removed. The error must be cached. Let me refresh the browser again:
The error seems to be cached. The generated PostCSS code shows line 5227 which suggests it's still looking at compiled/cached output. Let me check the debug logs to understand the issue better:
The server is still reading old cached data. Let me force a touch on the globals.css file to invalidate the cache, or clear the .next cache:
Let me add a small harmless edit to force the file to recompile:
The app is now working. Let me scroll down to see the rest of the form:
Excellent! The form is complete with all the fields. Now let me test the AI generation by filling in some sample data:
Now let me select the dates. I need to click on the date buttons:
The date picker is open. Let me select a date and then the end date:
The dates are selected (Jun 8 - Jun 11, 2026, a 4 day trip). Now let me close the calendar and click the Generate button:
The button is now enabled. Let me click it:
There's an issue (1 Issue shown). Let me check the debug logs:
The error shows that the AI Gateway requires a credit card on file. This is a billing requirement. The app itself is working correctly - the AI integration needs the user to add a credit card. However, I should improve the error handling to show a proper message. Let me also read the current API route and page to improve error handling:
The app is well implemented. The error is due to the AI Gateway requiring credit card verification, which is a billing issue on the Vercel side. Let me improve the error handling to be more informative and also check all files are complete:
I need to fix the reference to fullContent that may not be defined in the catch block:
The fullContent variable is defined inside the try block but referenced in the catch. Let me fix this scoping issue:
Now let me verify all the main files are in place and working by taking a screenshot:
The app looks great. Now let me also test the mobile view and check the trip-result and trip-form components to make sure they're complete:
The mobile view looks good. Let me reset the viewport and read the key components to ensure everything is complete:
The trip-result component is complete with all the features. Let me verify the trip-form has all the required fields:
All components are complete. The app has all the required features:
Trip Form with all inputs:
Trip Result displaying:
The app is fully functional but requires the AI Gateway to be properly configured (credit card on file) to generate trip plans. Let me take a final screenshot to confirm the UI looks polished:
Your AI-powered trip planning application is now complete. Here's what I've built:
Voyager AI - Smart Trip Planning Application
Core Features:
Advanced Features:
Design:
Note: The AI generation requires the Vercel AI Gateway to be configured with billing. The error handling has been improved to show informative messages when this isn't set up.
there is a problem-connection interupted, AI response was incomplete