A random mix from the whole library. Shuffle for a new set.
Jonathan Fulton set the AI a careful specification for a morning inspirational email to his parents, sister, brother-in-law and wife, sent under his name at 7:00 AM. It has run every morning since with no misses, and his family believes he has become remarkably disciplined about mornings.
Agent cranks out a weekly voice-acted, scored adventure game episode for his daughter, tailored to her interests and what she is learning.
Someone in the house heard a beep a little before 12:13 AM. He handed the question to an agent with access to the camera recorder. It came back with the sound, the source and a short list of reasons: a smoke alarm that sounded once, at 3417 Hz for 0.87 seconds, about two metres from one camera. It was not a fire, not carbon monoxide and not a dying battery.
Eric's daughter and her friend needed lodging for a music festival in Europe during her study abroad. His Dot, Jarvis, priced four places and annotated each with whether the walk back from the shuttle has streetlights after 10 p.m. When a provider replied in French, Jarvis read it, updated the comparison and said what changed: one rental ruled out, another cheaper but with a longer, uphill, unlit walk home. Eric finished the checkout himself.
The AI produced a thirteen-page strategic assessment of Fulton's father's retirement community. Its pickleball court count was verified from satellite photos — eight dedicated courts, checked, in his words, from orbit.
Rosey updates the kids chore chart on a Skylight frame every morning.
The AI and Siri both failed to add his son's printed basketball calendar to the shared iCloud family calendar; his wife added all the events manually in 20 minutes.
He connected the AI to iMessage on his Mac with a BlueBubbles server, polling about every 5 seconds and waking only for allowlisted senders and chats. When he moved dinner with his wife by 30 minutes in his calendar, the AI messaged the family chat on its own and told his wife about the change.
Anthropic's Project Swap sent 201 employees' the AI-powered agents onto a digital trading floor to pitch, haggle and strike book-swap deals. Agent preference rankings matched their owners' on 61 percent of book pairs, and staff ended up with roughly their fifth choice of ten; most of the shortfall came from misread preferences, not bad bargaining.
While Sarah Dooley traveled for a week, her Dot cross-checked her calendar, email, and the previous Sunday's grocery receipt, then sent her husband a brief with a dinner plan for every night built from ingredients already on hand, plus pickups and evening plans for their three daughters. It also flagged a school day she had wrongly assumed was a day off.
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.