A Deaf creator recounts waking up after missing an early-morning Air Canada flight and asking the AI to find a cheaper replacement. The AI accessed his Air Canada account, confirmed his Flex ticket could be changed, searched other airlines' prices in parallel, and supplied the airline phone number he could not find; he called via Canada VRS, found Air Canada's own rebooking cheapest, and paid — about 30 minutes total versus an estimated one to two stressful hours alone.
A Hawaii travel-tips creator, ahead of an Oahu/Maui trip, personalized the AI as 'Mele' and set a standing goal, 'Hawaii travel conditions monitor': daily 8:00 AM PT checks of airfare changes and official travel conditions — weather alerts, airport closures, emergencies — across major islands, with notifications only on meaningful changes. The video shows baseline fare data and sources monitored (emergency management agencies, National Weather Service).
Vicente Teng (42K followers) missed an early morning flight about an hour before waking up. Still groggy at 7:30 AM, he asked the AI to find a cheaper replacement.
This only partly worked. Worth knowing before you try it.
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.
Facebook version of chelseakauai's Sardinia plan: The AI created a seven-stop Sardinia route map, produced a list of boutique hotels with live availability checks, and emailed hotels directly on her behalf — securing a €240 discount by booking direct instead of through a platform. The AI asked for approval before any payment.
Type-B traveler Chelsea used her AI 'Sir Wiggles' (penguin avatar) to scan hundreds of saved Instagram posts, extract everything saved from Sardinia, and generate an itinerary — converting scattered saved content into a trip plan for the Sardinia leg of a month-long Italy trip.
Sayer PM had the AI book and pay airport parking with Tesla charging, give fall-break flight advice, and compare Ace vs Lowe's prices straight from a receipt photo.
Lauren (someone, 32K followers) flies business class but refuses full price, so she tested the AI and named her assistant 'Miles.' On-screen chat showed Miles quoting a ~$3,750 baseline and confirming it would monitor for three months; statuses cycled through 'Tracking fares' and 'Searching fares.' Later a phone notification showed Miles's 'Good morning!' briefing listing five Icelandair fares under $2k from SEA and SFO to Rome. B-roll showed her on a business-class flight.
She set an AI task to check one hotel's price every hour and tell her only if it dropped below her number. Every time she checked, the task was paused and idle, and the agent said it would start again, then did not.
This one went wrong. See what happened before you try it.
A man camping in southern Utah woke up to three urgent messages from the AI telling him to get back to town, even though he had not set it to watch the weather. He left, and says he would have been stuck in the desert otherwise.
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.
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.
Southwest Airlines built a focused AI assistant to answer customer questions, then expanded it into name changes, receipt requests and travel vouchers, orchestrated through subagents. The result was millions in productivity gains and seven times ROI in a short window.
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.
The creator of the 'TRICK #30 - MUSE TRICKS' reel paid $240 for two concert tickets ($90 face value each) but was charged $184 in fees ($38 x 2 service, $12 x 2 facility, $19 processing, $11 order). Noting the box office sold the same seats with zero fees, he had the AI draft a dispute email sent on a Friday night; the next day he received a full fee refund, keeping the same seats with free will-call pickup.
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.
Stuck in Manhattan with three hours to fill after a drop-off, Eric planned the afternoon with Jarvis by voice while driving. He gave it a mood instead of a destination — a break from technology, maybe by looking at art about technology — and it weighed a museum, galleries and an observation deck, then came back with a walking route through Chelsea galleries. At the end of the call he told it to put the route in his calendar, and it did.
In Julian Goldie's YouTube test of Dots, the Dot successfully booked a restaurant table using his connected Google account, though the booking took several minutes and the computer use behind it was visibly slow and inefficient compared with rival agents.
This only partly worked. Worth knowing before you try it.
Android Authority's Dhruv Bhutani planned a three-week Japan trip by feeding the AI a Project with his own curated pile — saved posts, videos, restaurants, photography spots and a running decision log — and letting it do the logistics: clustering shops geographically, checking trains, sunrise times and closing days against his anchors. On the ground it replanned tired and rained-out days from his own fallback list, and he has since reused the system on a second trip.