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.
Creator Rahul says that with a Barcelona trip in nine days and 200 saved Instagram reels but no itinerary, he had his AI 'Hal' analyse the saved reels, identify restaurants worth the hype, confirm the selections with him, and deliver a PDF shortlist with recommended dishes. He frames it as hours of scrolling done in minutes.
A fellow parent pointed him to the Tilt Parenting podcast, which has more than 500 episodes. He told his second brain in an AI app to search the archive for episodes relevant to his situation, and it picked 29 episodes, saved their transcripts, and wrote him a brief on what each one could teach him.
Uses Sonnet 5.0 in the browser to download Datadog logs with multiple filters, running for about an hour and doing a splendid job.
Creator Elona Karafin documented the AI running her Mexico City trip live: confirming her flight and lounge access, sending proactive reminders, and adapting plans as conditions changed. It built a walking-tour route, read a menu photo to recommend dishes, and offered to move lunch indoors when rain threatened.
A moving/junk-removal owner says three the AI run his marketing agency work: a Google Business Profile posts bot drafting daily posts in each client's voice, a review-replies bot generating three reply options per new review, and a GoHighLevel bot logging leads, creating call-back tasks and drafting follow-ups. His morning pass runs 6:30, 6:45 and 7:00 AM approving posts, picking replies and sending follow-ups, done by 7:05 with nothing left open; the bots are logged into Gmail, Quo, Stripe, Wix, GoHighLevel and Google Business Profile.
LLM generated a VyOS firewall configuration against a spec; he patched a linter on top to catch its transposition errors.
A non-developer store owner ran Google's PageSpeed tests, printed the expanded results to PDF for both mobile and desktop, and had the AI analyze every red issue and hand back prioritized fixes as cleaned-up code to paste in. His speed score rose 10-15 points and the speed index dropped from 3.2 seconds to 1.2.
Andrew asked the AI for the cheapest price on a new iPhone and AirPods, the best trade in value for his old phone, and whether a new model was about to drop. The AI found Amazon beat Apple by about $50 on the AirPods and a trade in worth about $200 more, and he bought on Amazon himself in the end.
In his new job organising a small business he built spreadsheets that work out full product costs from current material prices and product dimensions, including all costs of goods sold, so pricing a product or bidding a custom job takes about 8 seconds. Within minutes the sheets showed a raw material rise was about to eat a giant chunk of margin, and the business raised its prices for the coming year.
Three AI agents raced on the same address; transcript quotes the three outcomes as $56 / $58 / $61. The AI secured $56, the lowest of the three.
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.