A random mix from the whole library. Shuffle for a new set.
Creator Eric Siu had the AI build a 'Japan in Bloom' itinerary for March 27–April 7, 2027 covering Tokyo, Hakone, Kyoto, Nara, and Osaka, generated from his saved Instagram posts for cherry-blossom season.
In the same Vergecast clip, a host describes the AI connected to his Google Calendar: seeing a media dinner party in his evening, the AI advised taking a city bike instead of the subway because it would be faster, and pinged him at 9:20 to leave in time for a 9:30 arrival. The hosts frame it as the AI being proactive to the point of feeling directive.
Meta employee Han Fang said the AI went back and forth in Japanese with a hotel in Hakone to book a dinner slot that wasn't listed on the hotel's website — a language-barrier negotiation for off-menu inventory.
For an eight day trip to Perth with his son, he talked the schedule through with AI and built a travel booklet and two browser apps, one for him and one for his son, with daily phrases and small games for the long flights. The prep took three to four hours, and he says the apps helped them again and again during the trip.
Planning a family holiday in Florida, Eric opened a voice call with Jarvis about skydiving availability. By the end they had worked through airport pickup, three jumpers split across two aircraft loads, two boys waiting on the ground, drive time and the rental check-in, and slotted the jump into otherwise dead travel-transition time. When he pushed back on an early Everglades start, the plan moved and the shareable itinerary updated with it.
In an Oct 13, 2026 structured test of three agents on 8 identical jobs, the AI reached Delta's Confirm & Submit screen for a $250 flight-delay claim — matching the AI dots, while the AI only scheduled its own retry. The test used a made-up family and nothing was actually submitted.
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.
Chelsea Yamase documented the AI re-planning her Sardinia trip after a rental-car breakdown: re-routing through the mountains, choosing a boutique hotel near a boat launch, and booking restaurants via WhatsApp in Italian. The AI also monitored flights and deliveries and emailed about customs.
FlipIt's account of Business Insider's reporting describes UX designer Jay Eskenazi feeding his own compiled notes and recommendations into AI during a three-week Europe trip. The AI mapped his points of interest and exported routes into Google Maps, updated afternoon itineraries as plans shifted — accounting for opening hours, ticket availability and real-time events — and surfaced Barcelona festival information not yet fully published in English.
Vo asked the AI to buy IMAX tickets for 'The Odyssey' in Daly City during daytime hours when she has a nanny. The AI found showtimes, navigated the Cinemark site's guest checkout, and reached the payment screen using a Stripe Link virtual card.
The same delivery driver has the AI watching flight prices for a trip he is planning. It compares all in totals across two airlines including baggage fees, and only messages him if a price actually drops. The rule he set is silence unless something qualifies, which he says is the part that makes the watch usable.
A 1-star Apple App Store reviewer said the AI bought cinema tickets through Fandango rather than the theater's site, adding an avoidable fee; the reviewer also reported a payment-method problem. Review ID 14607796724, dated Sep 29, 2026.
The reviewer asks the AI for the current location of a flight, the progress of a rideshare trip shared through an HTTP link, and an analysis of Boston weather-radar precipitation, getting visual information back as spoken answers.
Vibe-built a Wikipodcast app with a Wikipedia dump, Gemma search and summarization, and TTS; actually used it on a Rhine bike trip to listen to local history.
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.
A testimonial graphic quotes someone: 'my first money with someone — connected my email, asked to find all flights I had in last 5 years, find the ones that were delayed or cancelled.' The agent mined years of inbox history for compensation claims.
Dave Y. Kim reported spending about 30 seconds on the AI to start a flight-disruption reimbursement that played out over several days and returned $2,000.
G Schwartz had the AI list and sell his Yeat Central Park concert tickets on StubHub, with the agent handling the listing through credentials found in email. The tickets sold.
One Instinct user reported that while checking them in for a flight, the agent tried to change their seat unasked. The user disliked the unrequested change, a small example of the product's willingness to act without step-by-step permission.
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.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.