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 was helping gather maps of local political boundaries for the Granada Community Services District and the Midcoast Community Council near Half Moon Bay. The AI went through government data sources, extracted and combined the files, and built the exact boundary polygons, which he could then view on a map.
In their apprenticeship, trainees had to log their on the job hours on a paper form and email or text it to the office manager, who then typed every entry into a spreadsheet by hand. He built an app so apprentices can submit their hours directly. Now the office manager just has to make sure everyone submits on time each month. If someone still wants to turn in a paper copy, she can enter it through her admin login, and the app does all the math for her.
At 11 p.m., a teacher's the AI built her a complete print-ready activity packet for the novel her class is reading — answer key included. It also sends her a daily morning briefing drawn from her calendar and email.
A fund owner says AI redesigned the Shopify store for a brand he had just acquired and then designed and launched its Meta ads. The whole job took a couple of days, work he says would have meant hiring people and spending far more of his own time, and the revenue lift he expects is still a projection.
Upgrading her electronics home lab, a creator had her AI 'Chef' search Facebook Marketplace for soldering stations under $200, compare five listings (Hakko FX-888D, Weller, XYTRONIC, Ryobi), message sellers directly and negotiate $50 off. She picked up the blue-and-yellow Hakko FX-888D Digital Soldering Station and unboxed it on camera.
The AI built a seven-day social and community content calendar from a Drive folder of the tester's existing content notes and quarterly goal. Every post topic, hook and call to action cited the exact Google Doc section it came from, with working links.
The AI organised a Google Drive holding 110,000 files in 9,700 folders and sent 2,409 junk files to trash.
The AI files his detailed bug reports and his agent pulls the project's new changes daily to check whether his issue is fixed.
Agent ported a moderately complex workout app from web to native iOS in a couple of evenings, with a test battery.
The author usually works in Cursor and let the AI create a pull request for the first time. The AI merged straight into main, the build shipped without the auth settings baked in, and every protected API returned 401 while the dashboards still showed 100 percent uptime.
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.