I TRIED USING CHATGPT TO PLAN MY CROATIA TRIP - HERE'S WHAT HAPPENED

Last month, I decided to test ChatGPT's travel planning abilities for a 10-day Croatia trip. The results were fascinating—and frustrating. While ChatGPT delivered impressive destination insights and creative itinerary ideas, it completely failed when it came to actual booking, real prices, and remembering my preferences across conversations. Here's exactly what worked, what didn't, and why purpose-built travel AI makes all the difference.

The promise vs. reality of ChatGPT travel planning

ChatGPT started strong. I asked for a 10-day Croatia itinerary focusing on coastal towns with good food scenes, and within seconds I had a detailed response. Split for 3 days staying in Diocletian's Palace area, Hvar for 2 days with a recommendation for Hotel Adriana, Korčula for 2 days in the Old Town, then Dubrovnik for 3 days in Pile neighborhood near the city walls.

The suggestions felt genuinely thoughtful. ChatGPT knew that late September would be perfect timing—fewer crowds, water still 22°C, and hotel rates dropping 30% from peak season. It warned me about Dubrovnik's cruise ship crowds between 10am-4pm and suggested visiting the city walls at 8am opening.

But then I asked the obvious follow-up: "Can you book flights from Los Angeles to Split?"

"ChatGPT is brilliant at brainstorming but becomes completely useless the moment you need to actually book something."

The response was polite but useless: "I can't browse the internet or make bookings, but I recommend checking flight comparison sites." This is where the fundamental limitation becomes clear—ChatGPT is a research assistant, not a travel agent.

The hotel search nightmare

Determined to make this work, I started feeding ChatGPT hotel names to research. I'd paste details about Hotel Park Split and Hotel Adriana Hvar, asking for analysis. This actually worked well for basic information—ChatGPT could tell me about amenities, location pros and cons, and even spot details I might miss.

For example, when I mentioned Hotel Park in Split's Bačvice neighborhood, it correctly noted the hotel's 10-minute walk to Diocletian's Palace but warned about potential noise from the beach bars until 2am during summer. It also caught that Hotel Adriana Hvar's rooftop restaurant books up weeks in advance.

But here's where things got maddening. I'd research hotels with ChatGPT, then have to open 15 different tabs to actually check availability and prices. A simple task—"find me a 4-star hotel in Split for September 20-23 under €200/night"—required jumping between ChatGPT for advice, Booking.com for availability, hotel websites for direct rates, and Google Maps to verify locations.

The inefficiency was staggering. What should have been a 10-minute task stretched into two hours of tab-switching.

The memory problem

Three days later, I returned to ChatGPT to continue planning. I mentioned my Croatia trip, and ChatGPT responded as if we'd never spoken. No memory of my Split-Hvar-Korčula-Dubrovnik itinerary, my €200/night hotel budget, or the restaurants I'd already researched.

I had to re-explain everything: 10 days, coastal towns, good food, late September timing. ChatGPT generated entirely different suggestions this time—recommending Zadar and Plitvice Lakes instead of Hvar, suggesting Hotel Cornaro in Split instead of Hotel Park, and completely different restaurants like Bokeria Kitchen & Wine Bar instead of Villa Spiza.

"Every conversation with ChatGPT starts from zero, which makes complex travel planning feel like Groundhog Day."

This memory gap isn't just annoying—it's practically useless for travel planning. Real trip planning happens over days or weeks. You research flights, think about it, check hotels, compare options, adjust dates based on pricing. ChatGPT can't maintain that continuity.

Where ChatGPT actually excelled

Despite these limitations, ChatGPT did shine in specific areas. When I asked about Croatian food culture, it gave me genuinely useful context. It explained the Dalmatian coast's Venetian influence on seafood preparation, recommended trying black risotto (crni rižot) made with cuttlefish ink, and suggested asking locals about family-run konobas hidden in Split's Varoš neighborhood.

It was also excellent for logistics questions. When I asked about getting from Split to Hvar, it explained that Jadrolinija ferries run 4 times daily in September (reduced from 8 in July), take 50 minutes to Stari Grad, then require a 20-minute bus to Hvar town. It recommended booking ferry tickets online 48 hours ahead.

For cultural context—like why Diocletian's Palace matters (Roman emperor's retirement home, built 305 AD) or what to expect at Dubrovnik's morning fish market near the Old Port—ChatGPT was genuinely valuable.

The problem wasn't quality of information. It was the complete inability to act on that information.

The real-world booking reality check

After spending hours with ChatGPT, I still needed to actually book my trip. This meant starting over with traditional booking sites. I spent another three hours comparing flights on Google Flights, reading TripAdvisor reviews, and trying to remember which restaurants ChatGPT had recommended days earlier.

The flights I eventually booked—LAX to Split via Frankfurt on Lufthansa, €847 roundtrip—were completely different from the routing ChatGPT had suggested when I asked about "typical flight paths." It had mentioned connections through Amsterdam or Munich, but actual September availability was limited to Frankfurt, Paris, or Istanbul routes.

Hotel prices were also wildly different from ChatGPT's estimates. It had suggested "expect €120-180/night for 4-star hotels in Split," but actual September availability showed Hotel Park at €89/night, Villa Dalmacija at €156/night, and Hotel Cornaro at €340/night for comparable properties.

"The gap between AI suggestions and real-world availability is where most travel planning actually falls apart."

Why purpose-built travel AI works differently

This experience made me appreciate why Otherwhere exists. Instead of general-purpose AI that can discuss travel but can't book it, purpose-built travel AI connects directly to real inventory systems through GDS connections and hotel APIs.

When you text Otherwhere about a Croatia trip, they're not generating suggestions from training data. They're pulling actual flight availability from airline systems, checking real hotel inventory through channel managers, and presenting options you can actually book at current market rates.

The difference is fundamental. ChatGPT might suggest Hotel Adriana Hvar that's been sold out for weeks. Otherwhere only shows you hotels with actual availability for your dates, complete with real-time pricing that includes taxes and fees.

More importantly, Otherwhere maintains conversation context across multiple days. If you're considering Villa Dalmacija versus Hotel Park in Split and want to sleep on it, you're not starting from scratch the next day.

The verdict: ChatGPT for inspiration, not execution

After this experiment, I have a clear sense of where ChatGPT fits in travel planning. It's genuinely excellent for inspiration, cultural context, and brainstorming. If you're stuck on whether to prioritize Hvar's lavender fields or Korčula's wine cellars, ChatGPT can unlock ideas you wouldn't have found otherwise.

But for actual trip execution—finding available flights on specific dates, checking hotel inventory in real-time, comparing actual prices with taxes included, maintaining booking continuity—ChatGPT is fundamentally the wrong tool.

The future of AI travel planning isn't about making general AI better at travel. It's about purpose-built tools that can actually complete the booking process, not just suggest it.

For your next trip, start with inspiration wherever you find it—ChatGPT, Instagram, or that friend who always has the best recommendations. But when you're ready to move from planning to booking, text (323) 922-4067 to get started with actual availability and real prices. Your future self will thank you for skipping the tab-switching marathon.