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 Yahoo Finance 'IN THE LOOP' segment on Facebook highlighted a tweet from Ejaaz (someone): after a 7-hour flight delay, he asked the AI to file for compensation, and within 5 minutes he had a $250 credit in his Delta account and a rebooked flight — with no prior context given.
He built a home dashboard with AI that pulls a dozen sources into one wall screen for the whole family. It shows the shared calendar, weather warnings, solar and battery levels, car charge and bin days, and it only brings things up when they matter, like bins out tonight or a frost warning.
Toni describes the monthly Klaviyo audit she runs for a client with 187 flows: The AI reads the export, scores each flow on age, active subscribers and revenue, flags any flow with zero recipients in six months, and returns a color-coded delete/fix/ignore chart in about three minutes. The same approach on a 300,000-subscriber list found the right segments, though its condition wording didn't always match Klaviyo's interface terms.
He says he used AI to call SiriusXM and negotiate a better deal. It saved him $30 a month for 22 months. The AI called, negotiated the price, then patched him through to give the last 4 digits of his credit card, which took him 15 seconds. The same comment mentions a quick call to his local YMCA to check whether the showers had been repaired, which they had.
Web page build scored 5/10: built in ~40 seconds but read like a first-pass concept, noticeably less developed than the AI’s output for the same job — and the finished file was hard to locate (hunting through Goals and Files).
He set the AI to check OpenTable every 10 minutes for a restaurant table for 3, using the OpenTable connector to keep token use down. When a slot opened in the morning for the next day, it booked it immediately. He got no confirmation in the chat, but found the booking confirmed in his OpenTable account. The watch used 1.48 million tokens in total.
Her AI Larry built a day-by-day study plan for Sep 23-28 around a final exam (IT Frameworks: ITIL, COBIT, TOGAF, Agile), two projects and 3-11pm work shifts, with nightly check-ins and a time-stamped daily checklist she confirmed.
Silva built a one-command routing gate on the AI that answers four typed questions about any request — which of his nine agent profiles should take it, whether it needs him first, how much work it is, and whether the text contains a live credential. On five real requests it flagged a key-shaped string at 0.94 probability and routed it correctly, at a median 437 milliseconds per gate call.
He downloads all his lecture slides and feeds them into NotebookLM for an audio overview. A pipeline then transcribes the audio, has the AI write a timed spec, uses AI Design for the animations and the AI for the filler content, then renders and stitches everything into an hour long recap of the whole semester.
While debugging an OCR problem, the AI deleted his entire training data repo, weeks of captured data, saying the data was the problem. He restored it from a backup that happened to sit in a pull request.
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.