A random mix from the whole library. Shuffle for a new set.
Ethan Mollick writes that the AI noticed an airline credit of his was about to expire and, when he asked, contacted American Airlines to request an extension — an example of agents catching deadlines their owners miss.
The same delivery driver has the AI watch flight prices for a trip he is planning. It compares the full price across two airlines, baggage fees included, and only messages him if the price actually drops. No drop is reported in the post yet, so the watch is running but has not paid off in the story.
Jared Lee was flying to New Bern, North Carolina, where his father may be dying, when delays at lunch told him he would miss his connection. His rental car was booked for New Bern airport. From the taco restaurant, he asked the AI to change the rental to a Charlotte pickup for the 4.5-hour drive. A couple of text messages later it was done: new rental, new confirmation. He estimates it saved him at least an hour of hold time, spent instead present with his wife.
He plays tennis a lot. He asks the AI which courts are open, picks one, and the AI books it and puts it on his calendar. The same flow works for movie theater showtimes and tickets, and for restaurant reservations anywhere with an online booking page.
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.
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.
Travel advisor Marissa Waiters reports the AI scanned her email inbox and located 18 free night vouchers, then organized and filed them for easy access — travel value that was effectively lost in the inbox.
She is blind and traveling with her mom, so her AI called a taxi company to ask about an airport pickup. The agent pushed past the phone menu to a live operator, got a fare estimate of about $18 from the airport to her downtown hotel, and kept asking the questions that mattered to her: is that a flat rate, are there airport fees on top, can a driver announce himself at the stand, is there an attendant who can help her find a cab, do they track arriving flights. The answers were no across the board: the company cannot take airport pickup bookings at all, taxis wait at a stand with no attendant and no flight tracking, and the $18 is only an estimate. She shared the full transcript.
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.
In the same Rome-trip demo, Nina Dobrev's agent 'Jack' tracked flight prices from multiple cities (LAX, JFK, ORD, YYZ) totaling $7,472.74 and curated Instagram posts about Rome from people she follows.
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.
A traveler planning a trip with AI booked his own flight and hotel, but Dots noticed the shuttle was missing, proposed it with the details they had discussed, and completed the booking form on its cloud computer - after asking him to confirm the same booking three separate times.
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.
The AI assembled a split-ticket itinerary from Karachi to San Francisco priced around $1,209, combining separate tickets that a single search would not surface as one trip.
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.
The AI watches his train travel and automatically applies for delay compensation on his behalf when a train is delayed.
The AI rebooked the same hotel, room type, and dates at a lower rate as prices moved, saving $179. The author verified the new reservations directly with the hotel and confirms everything held.
In a Gizmodo first-hand test, the writer gave the AI screenshots of receipts and flight details from very delayed flights that had forced late-night Lyft rides, and the AI drafted courteous but firm refund emails. Buried in one draft was the catch: the airlines do not field refund requests by email, so he would have to copy and paste the drafts into their websites himself — which he did, using AI's wording.
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.
The AI pulled all the interesting footage and shots from a 24-hour public tourist webcam and produced a shareable artifact.
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.