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.
Engadget reporter Karissa Bell tested the AI for a few days starting with her Meta-app activity, since she was initially cautious about granting access. Alongside the recipe book, she had her agent ('boo') compile the restaurant posts she'd saved on Facebook and Instagram into a searchable guide organized by city — turning a dead-end save pile into a usable dining shortlist.
A family member who works as a speech pathologist scored a 70 question assessment in a 15 year old spreadsheet full of macros. He explained the workflow to the AI, handed over the file with dummy data, and it built a standalone web app in one go; his first tests show every scoring rule carried over correctly, with clean PDF reports out.
His home WiFi kept acting up, so he asked the AI to diagnose it. The AI ran a script that monitored everything for a week and pinned the problem on his Google Nest Wifi, and Reddit posts backed that up.
Nari Media's test shows the AI making the initial setup of Facebook and Instagram ad campaigns fast and accessible for media buyers, handling the first build inside Meta's ad tools.
Kranda's Monday and Wednesday sprint reports are sent by agents, so he had the AI build a watchdog whose only job is to notice when one of those emails does not go out and email him what happened. He says the watchdog exists mainly because the AI’s device permission issues make silent failures a real risk.
The same business owner runs AI on a weekly cycle for search traffic. It scans competitor sites for the keywords he tracks, compares his own pages against them, suggests changes, and finds and puts in internal linking fixes itself.
Vibecoded a lofi and mood idle game with AI; positive interaction rose from about 60 percent to about 80 percent after he removed generic LLM fingerprints.
He gives the AI his shopping list and it compares prices at his two local supermarkets, which sit next to each other, then places a click and collect order with each one holding only the items that are cheapest there.
He moved his reading history from Goodreads to BookHive, onto his own AT Protocol data, and pulled in Audible data too. The AI cleaned up 389 books along the way.
Creator Eric Siu had the AI build a 'Japan in Bloom' itinerary for March 27–April 7, 2027 covering Tokyo, Hakone, Kyoto, Nara, and Osaka, generated from his saved Instagram posts for cherry-blossom season.
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.