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.
Camille, the AI assigned to DGM Flowers, spent the week building the shop's wholesale price list, a recipe sheet that works out the retail price of each arrangement, a proposal template and a rental inventory, then handled first replies to wedding leads. Every quote the shop sends now starts from real costs instead of a guess.
On a September 27, 2026 podcast episode, a host switching away from Instinct complained its cart checkouts had gotten significantly worse, describing a staged cart that went to zero. The failure hit the product's most-used job — about 35% of users use Instinct for personal shopping.
She told her AI to get better at design, then had it check her own site, aunysillyme.com. It found every buy button was too low in contrast to grab attention and that two different oranges had been used on the site for months, and it redesigned the site based on what it had learned.
His wife works for an airline, so he flies standby through an employee perks app that normal flight apps do not cover. He has the AI track every change. This weekend the AI caught his original flight at Y0, meaning no spare seat, so he switched flights and still made it to Vancouver. The AI checks more often as departure gets closer and only tells him when something changes, and it sends his wife short Messenger updates on his chances of getting on. His tally for the weekend: 2 flights boarded, 1 full flight avoided, 1 gate change caught, no app refreshing from him.
He turned his 15,000 saved Wispr Flow dictations into a test set for the local Whisper model behind his AI Agent. The agent made find and fix rules from the words Whisper kept mishearing, tested each rule against the full history, and got hard words right far more often: 99 of 240 up to 183 of 240 on old clips, and 19 of 45 up to 43 of 45 on sentences he read out loud.
ESPM professor Wilson Silva had his AI agent research ten auto repair shops, send them photos and videos of his car, request quotes and rank the options while he worked. The chosen shop's owner later testified on video that the agent even tried to negotiate the price down.
Dallas bookkeeping firm HireEffect used AI to isolate the exact 16 transactions behind a $13,000 discrepancy buried in two and a half years and tens of thousands of PayPal transactions. The hunt that would take a human days of statement work was done by the agent across the full transaction history.
His morning agent reads his email and builds a prioritized to do list with time blocks for the day. It also checks the weather and warns him to leave earlier when rain would slow his trip, which has twice saved him from showing up soaked.
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.
ThursdAI host Alex reported that his AI 'Wilfred', newly flipped to the AI Wonder on his paid plan, found the New York podcast studio he recorded the show from. The AI then emailed Ezra at Virgo Studios with his requirements.
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.