A first-person account of testing the AI to fully plan and book a spontaneous trip without doing research: an open-ended goal (good food, beautiful stay, minimal effort). The AI compared destinations, flights, and hotels, noticed the author's saved Instagram folder for Mexico City, suggested ways to use points and travel benefits, and organized everything into a bookable plan — presented as Part 1 of a series.
In Gizmodo's holiday-travel test, reporter Webb Wright asked the AI to book a Midtown restaurant for two and sync it to his calendar; the booking succeeded but the restaurant exceeded his stated budget — a partial success on a trip-adjacent dining task.
This only partly worked. Worth knowing before you try it.
A third anecdote in Simmons's roundup describes a Dot that kept emailing a hotel for two days, then found the general manager's name and emailed them directly. The eventual outcome of the escalation is not stated.
Every few days the AI checks for date night ideas for Eleanor Konik: English language opera near her, what is playing at local dinner theaters, and anything unusually cheap, and it emails her when something fits. It found Grease as the very last show in the old building of a dinner theater her husband has wanted to take her to for years, and a Young Frankenstein showing at a dinner theater an hour away she had never heard of, which she went to.
He asked the AI to write a short email to his hotel asking for a better rate. The front desk called him back and dropped the room from $330 to $240 a night, saving $90 a night, and he says the whole thing took about 30 seconds of his time.
Serina had the AI book reservations on non-English websites without relying on translation, using her known dates, accommodation, and Someday shortlists to organize recommendations and complete the bookings.
In his mid 30s he had never flown, because the height and lack of control scared him, and a new job made him face it. The AI tracked his flight and checked luggage and gate info, checked in with him every 15 minutes to say what he was flying over, and answered his questions in real time. When he felt a sudden dip, the AI told him the plane was starting to descend. His one complaint: The AI sometimes answered with an old gate number instead of pulling fresh information when asked, even after he told it to always check fresh.
This only partly worked. Worth knowing before you try it.
By voice, Simmons asked László for an October 15–18 Montreal trip: a central, inexpensive Airbnb, the cheapest direct flight with an aisle seat, and a plan of things to do. The Dot compared stays, caught repeated complaints about a squeaky Murphy bed at a 4.75-star listing, filled in his flight details from his travel records, rerouted the Mont Royal walk because the cross was under construction, and stopped at checkout for him to pay.
The same man's system pulls every train, flight, hotel and ferry booking out of his email into one travel database. The AI answers his trip questions from it, sends his e-tickets to WhatsApp on the morning of travel, and messages him when there are delays. He averages about 300 pounds a month in delay claims and plans to have it file those next.
Lexie Alford asked the AI to turn 6,000 saved Instagram posts into a mapped Florida bucket-list organizer. Saved-post archaeology turned into a usable travel map — the same pattern as the recipe-PDF case, applied to travel.