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.
He plugged in a soundbar over S/PDIF and got no sound, and searching online did not help. He asked the AI to fix it, and 10 seconds later the problem was diagnosed, the output was enabled and renamed, and it worked.
He was tired of tracking upcoming releases and bookings in his Notes app. In two hours, using a third of a month's free credits, he built his watchitwhen app with AI and had the AI make the changes needed to deploy it.
A solo developer built a women's clothing brand's production WooCommerce store with AI writing most of the code: a custom block theme matched to the client's React prototype, real-time CommerceML sync with their 1C ERP (including patching a stock parser that silently dropped nested per-warehouse counts and cleaning up roughly 1,000 orphaned variations), and zero dollars in platform licenses. Two client revision rounds of about thirty items each cleared in days, and the whole build took weeks instead of months.
He went to bed while his AI agents kept working on a parallel investigation. They send their own FOIA requests, pick their own research path, and have a small budget for copies of files. He set the web permissions for the night before letting them loose.
A high school student sent his study guide PDF to the AI and had it build a website with a quiz style practice interface using the guide's own questions. He says it works well and beats making practice sets by hand when time is short.
A two-slide carousel shows an AT&T online live chat (customer 'Chun' with agent 'Lalaine') where the customer explains being an AT&T Fiber Internet 1000 customer since 2021 with a bill that rose to $106.01, asking for loyalty discounts to get under $90. The someone repost reports the final outcome: $81.01/month.
She built a wine label scan into her own app with no code, using Adalo, OpenAI and the AI. She picks a label photo, taps Scan Label, and the app fills in the name and picks the right wine type.
The AI built him a small app that works out his net worth from his holdings every day. It refreshes on its own each day and sends him an alert when a market move is big enough to change the picture.
Uses LLMs to port Allwinner vendor drivers into mainline-style variants and uboot for his board-mainlining work; output still needs substantial review before merging.
As the only financially literate owner, he ended up president of a condo association with negative money in the bank. He fired the management company, then built an owner portal with AI that handles accounting going back years, dues tracking, bills, payments, compliance and vendor records. The association is out of debt, and the whole thing runs on free tier services plus a domain.
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.