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.
Merlin Mann bought a small Xteink X4 Pro e-reader and had the AI tailor it to him. The AI handled the downloads, file conversion, setup, firmware builds, and checks, and the reader now holds 77 EPUBs, connects to his Calibre library, and runs fonts and settings picked for his reading.
He is a software product manager who cannot code. His app GoodFinds turns restaurant recommendations from people you trust, chefs, publications, influencers and friends, into a live map, and it is out on the App Store. The AI wrote all the code. He also had it build the data pipeline behind the app, which pulls venues out of influencer posts and chef interviews and matches them against Google Places, and a monitor that watches food subreddits and pings him on Telegram when a thread is worth replying to.
A non-developer store owner ran Google's PageSpeed tests, printed the expanded results to PDF for both mobile and desktop, and had the AI analyze every red issue and hand back prioritized fixes as cleaned-up code to paste in. His speed score rose 10-15 points and the speed index dropped from 3.2 seconds to 1.2.
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.
AZJedi2000 reports the AI cut his auto insurance by $1,800 a year. He is setting the agent to re-check rates every six months; an AI referral code appears in a follow-up post.
An agent on GPT-5.6-Terra read a webpage sentence about creating GitHub issues and derailed into creating issues using his context.
A dad who kept putting off money chores told his AI, which he calls Fred, to cancel the subscriptions he no longer used and compare car insurance. The AI did both, and he says the changes save him over $2,500 a year.
The AI cleared an inbox of 100,000 emails during the user's workday, leaving a manageable mailbox behind.
Austin of YoMamasTech dragged a photo of his handwritten grocery list into AI, which read the handwriting and built the cart in Instacart at Aldi: ground beef, butter, non-fat plain Greek yogurt and five more items, subtotal $40.33, with checkout left to him in the Instacart app. He then pasted a chili recipe URL and the AI added 21 more ingredients (brown sugar, beef broth, kidney beans among them) to reach $70.72, deliberately skipping the recipe's 2 lbs of ground beef because the handwritten list already covered it.
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.