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 vendor told him he needed Windows only software to flash a board for his hardware project, and the open source option could not erase the board after the first flash. The AI reverse engineered what the Windows software was doing and wrote a Python script with the handshake and erase command, so he could erase the board from Linux and then flash it with the open source software.
He asked the AI to deal with a broken LG appliance. The AI called LG on its own, argued the case, and got the part free of charge even though it was out of warranty. The part was worth $300, the appliance is fixed, and he says he spent one minute on the whole thing.
Diana asked for a brief about her business, not businesses in general. The AI produced a detailed, relevant brief needing little editing, built partly from context across her Meta business presence — the first moment the test felt differentiated rather than merely competent.
Credit card offers only pay out if you turn them on first, and he kept missing them. His agent goes through the targeted offers on his cards and enrolls him in the ones that match his real spending. He calls it free money he was leaving on the table.
He had the AI watch his online trainings and take the tests for him, and he collected 40 certificates in one day. He told it not to get perfect scores every time, and he says the system is broken if this works.
He gave an agent his favorite meals, his dietary limits and the food he has on hand. It makes a weekly food plan and a full grocery list, and he tells it over the week which meals he liked.
Her AI Jazz produced a 7-day, mostly-fish, under-30-minutes meal plan document ('Easy family meals') with named dishes, plus a categorized Walmart Delivery grocery list.
He is recovering his 15 year old tweets with photos that he thought were basically lost, with AI's help. The AI also built him a custom GUI editor that he will use once to hand edit the collections of tweets.
He remembered some smart plugs more than ten years old that use Bluetooth, and found Home Assistant could talk to them by pretending to be Apple HomeKit, but some functions were missing. He asked the AI to reverse engineer the plugs, and five minutes later they were fully revived with fully local control, with even more controls than HomeKit offered back then.
On a free year of the AI he has built and scheduled a stack of personal skills: a calendar manager, an expense tracker fed only by emailed invoices with his full history backfilled, a monthly utility cost comparer, and shopping re-up tracking that watches how fast he uses things like coffee beans and toilet paper and schedules the next buy. A weekly skills manager rates all the others and suggests improvements.
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.