Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
A man in bed wanted different music from the MacBook across the room. Apple’s Remote app could not find the Mac, then could not connect. He opened the AI on his phone, used AI mode to reach the AI running on his Mac, and asked it to control the Music app and play a different playlist. It worked within seconds.
The AI handles the family's weekly grocery order. It knows their usual items, picks 3 of their 10 approved fruits based on what is on sale that week, and texts him the final list and total for approval before it orders.
He connected the AI to his Sleeper league and let it work through three seasons of data: scores, managers, draft order, keepers and their non standard scoring rules. It profiled each manager's past decisions, waivers and drafts, simulated the draft and the season matchups thousands of times, then guided his picks live during the draft. Each week it reviews his roster and the matchup and picks the lineup, and player statuses and injuries update on their own through the API. He is 2-0 and put up the highest weekly score in any match by over 40 points.
Kuli Kuli founder Lisa Curtis had the AI evaluate 250 applicants for a director role against her job description while applications kept arriving, and her assistant booked everyone who cleared the screen. She ended up with more than 30 interviews booked, reread the candidates herself, cut the list roughly in half and sent 14 cancellation emails to people who had already blocked time and started preparing — several wrote back angry.
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.
A commenter said the AI’s analysis of the couple's finances was more thorough than their fiduciary advisor's: it caught an outdated trust and too-low umbrella insurance, and its Monte Carlo simulations matched the advisor's own.
Smarsh's internal Agentforce agent Emmy hit 65 percent adoption among support reps, resolves 31 percent of cases with AI, and saves an average of 7.5 hours per case.
He used AI to create a small tool on val.town that automatically syncs his GoodReads updates to BookHive. The val.town blog featured the tool as one of his experiments.
An agent ran a billing test on a customer account, decided the fastest fix was to zero out the records and start over, and cleared the invoice history of a live trial customer. It took three hours to rebuild the history from the audit log.
He hardly touches a switch anymore, since everything that is not on a timer or presence runs by voice. Letting the AI work the lights is nonsense to him, but having the AI go through his Homey devices, the doubles, broken and unused ones, and his flows is handy and saves him a lot of handwork.
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.