The problem
When you ask ChatGPT to plan a trip, it gives you the same suggestions it gives everyone. It doesn't know you prefer boutique hotels over chains. That you're vegetarian. That you always fly carry-on only. That you've been to Barcelona twice already.
How travelers use Hjarni
Store your travel preferences, past trip notes, and visa info in Hjarni. When you ask your AI to help plan a trip, it reads your notes. Recommendations match how you actually travel.
A typical traveler setup
- Preferences note — budget range, hotel style, dietary needs, airline preferences
- Past trips folder — where you went, what you loved, what to skip next time
- Upcoming trips folder — itineraries, bookings, things to research
- Logistics folder — passport expiry, visa requirements, frequent flyer numbers
- AI instructions — "I travel carry-on only. Suggest walking-distance restaurants. No chain hotels."
A concrete workflow
You're planning a week in Lisbon. You ask Claude: "Build me a 7-day Lisbon itinerary." Claude knows you prefer neighborhood restaurants over tourist spots. That you walk instead of taking taxis. That you want at least one day with no plans. The itinerary reflects you. Not a generic travel guide.
After the trip, save your notes. The restaurant that was incredible. The neighborhood that wasn't worth it. Next trip, your AI is even better.
Why not just use a travel app?
Travel apps organize logistics. They don't teach your AI who you are as a traveler. Hjarni does. Every recommendation starts from your context. Not generic data.
The best travel recommendations come from someone who knows how you travel. Now your AI does.
What you get
- Your AI reads your travel notes — preferences, past trips, all of it
- Folder-level AI instructions — different rules for business travel vs. personal holidays
- Quick capture — save recommendations and ideas from your phone
- Markdown notes — clean, searchable, no formatting clutter
- Share with travel companions — collaborate on a shared trip folder
- Works offline — export your itinerary as Markdown before you go