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 former rideshare driver has the AI log his shifts and mileage by voice, calculate true hourly and weekly earnings after expenses, evaluate ride offers from screenshots, track car expenses, and produce a tax-time summary.
With five days' notice, her AI Romy reviewed 51 saved 'Costa rica' reels, built a 5-day itinerary (Bajos del Toro, La Fortuna, Monteverde), found and held Miami-San Jose flights without purchasing, and searched for a dry bag pending her approval; the reel ends with footage from the trip itself.
He had a pile of old laptops he had never gone through. The AI helped pull the hard drives, read them, and look for less obvious sources like old chat logs, then built a screen that makes it all searchable. He found personal history he had forgotten about.
Each week he drops three files into a folder: an Apple Health export, his Peloton data, and a spreadsheet of extras. The AI runs the numbers through 19 metrics, flags shifts like cycling power dipping after a hard hike, and updates a dashboard he checks to adjust his training.
Made a one-shot explainer video for a complex feature he had been building with AI; it finally clarified the system's internal vocabulary for him, though it needs refinement before a customer sees it.
She scans new papers as a science journalist. Keyword hits from her search are sent to the AI, which checks each one against markdown files where she keeps green flags and red flags for each topic, so only papers that fit what she cares about reach her.
Ben Parr had the AI book his mom's PODS moving container. The agent got it booked $576 under the quoted price, a straightforward moving-cost win.
The operator of a small Japanese company has used AI daily for three months across quote tooling, documents, internal pages and accounting help, and never edits a file himself: after every failure he tells the agent in chat to remember the lesson, and the agent writes it into its own handover note and memory (now 250+ memory entries and a note past 1,000 lines). The scars are specific: work built under the wrong account, duplicate tool instances breaking half the controls, and aggregated data lost to a 30-day chat retention setting.
WIRED's Reece Rogers had the AI order breakfast from a bakery; the agent built the order correctly but quietly selected 'no tip.' Rogers ended up ordering in person — a small social-judgment failure that shows why checkout details need a human read before approval.
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.