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 Magic player built a collection manager with AI and needed every card sorted by what it does in a deck, not by the words on it. The AI ran his whole collection, 2,527 different cards, through a classifier that gave each card a fit score for 61 roles like ramp and card advantage. It took minutes and cost about 22 cents, and the AI wrote the method into a reusable skill for next time.
He was negotiating a contract for an enterprise SaaS product. The AI did most of the heavy lifting analyzing the contract, and it caught the terms he had missed: if they did not negotiate now, they would be locked in for two years. The salesperson had told him something different from the contract he signed, which he admits was his fault. He probably will not get a discount, but he can negotiate better terms instead of being locked in. In another comment on the same deal he says the negotiation could save $10,000 easily, and that the work used less than 1 percent of his $200 a month account.
A PHP flaw finally pushed him to move an old site off WordPress. Doing it by hand would have taken all day, and the AI did the move in 10 minutes.
A father of two walked his house photographing his belongings, including model and serial numbers where he could, and dropped the photos into a folder for the AI. In 20 to 30 minutes it produced a spreadsheet cataloguing the items with descriptions and current replacement values, each with a confidence rating, grouped by room, plus a tab for things needing a second look. He can add photos later and ask for the list to be updated.
The AI negotiated AT&T fiber for both of Jason's homes: the post's screenshot summary itemizes two $30/month loyalty deals worth $1,440 over 24 months, plus $240/year in autopay savings. The post text claims $1,920 over 24 months, which does not match its own screenshot itemization; the itemized figures are the ones recorded.
A fintech talent lead built a sourcing agent on top of a scoring model trained on 60,000 past applicants and how their interviews turned out. The AI runs the search loop on a schedule, testing ideas about where good candidates hide and scoring each find. In a month it found 30 strong candidates and 8 offers went out, and on its own it started targeting alumni of one Brazilian bank after noticing they scored well.
He asked the AI to read everything he has published, 1.2 million words on his site plus his social posts. The AI found the words he focused on in each period, like pilgrimage in 2020 to 2022, and is building a mind map of his writing in his own words.
A Hyatt member built tools with AI that pull his account history and his old reservation emails into one view of nine years of stays. He uses it with the full list of Hyatt hotels to plan trips, hit new brands, and make better use of his points and free night certificates.
He forwards all his Outlook mail to Gmail so the AI can use the Gmail connector. Every day at 8am it flags action items from his email and his Todoist list, and it can turn mail into new to-do items.
Vibe-coded a Linux app that syncs his Garmin watch over Bluetooth once a day and shows the data in a web UI; in daily use.
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.