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 used Deno's Jupyter kernel all the time for exploring TypeScript libraries and automations, and was going to miss it. He pointed the AI at the problem and the result is cdp-kernel, Deno's Jupyter kernel extracted to run notebooks on any V8 runtime, now on GitHub.
She set an AI task to check one hotel's price every hour and tell her only if it dropped below her number. Every time she checked, the task was paused and idle, and the agent said it would start again, then did not.
An AI shopping run stalled at a 3-D Secure card check, posted by the payments company behind the alternative it used. Paying instead from a pre funded balance, the run finished on its own: a $17.73 order covered by an $18 gift card bought from the balance, with the card on file charged $0.00.
He set up an AI skill that now cuts his YouTube Shorts on its own. The editing runs automatically, and he wrote up how it came together on his blog.
He updated an old email triage workflow for a client this weekend. Jev now runs alongside GPT-4o mini, which still controls which emails get forwarded to her customers.
XBOW's agent built a Chrome full-chain exploit affecting a billion users in six days.
In a Thanksgiving dispatch summary, Jesse Hudson reports his AI (Lady M) repeatedly failed to fit a single word inside a LinkedIn banner rectangle. His AI, Siren, then produced the banner correctly on the first try.
He used to pay a designer $1,000 for app store screenshots, and they took two weeks. Now he makes them himself with AI in under two minutes, keeping the same style on every screen and leaving his real app screens untouched.
He does not rely on a single AI model, so a bot agent continuously summarizes and consolidates his interactions across models into one updated file. The shared memory means any model he picks up knows what the others knew.
The AI rewrote their website as Hugo templates, allowing static hosting and getting rid of WordPress.
Vo asked the AI to buy IMAX tickets for 'The Odyssey' in Daly City during daytime hours when she has a nanny. The AI found showtimes, navigated the Cinemark site's guest checkout, and reached the payment screen using a Stripe Link virtual card.
Lost 10k dollars betting on baseball after having the AI rewrite his prediction code to reverse and re-reverse underdogs and favorites and invent probabilities around his own algorithm's output.
Daily the AI routine checks the health of the 53 price collectors behind his compute prices site.
Threads creator hashtaglima had the AI watch a booked hotel reservation; when the rate dropped, the AI rebooked the exact same hotel, room, and dates at the lower price, saving $179 — and the creator verified the saving with the hotel itself.
He drives for an assisted living facility that tracked every resident trip on spreadsheets the front desk found hard to use. He built a web app with AI that shows all trips past, present and future with conflicts and updates, from his desktop or phone. It improved his daily work and the front desk’s, and took a few months where the old way would have taken about a year.
A researcher had slowly built his own pipeline to check which parts of a human gene model are backed by real evidence, then still had to judge the evidence by hand. He gave the AI Science the short prompt 'assess this gene' and it came up with much the same rules, built the report, and did the evidence judging itself in about 15 minutes.
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.
He had no family doctor and dreaded the admin of finding one. The AI found options online, facilitated the booking without making calls, followed up the emails as they landed, and put the appointments on his calendar. After the visit he shared a transcription of the appointment; the AI put the details into a health dashboard artifact he asked for, followed up the referrals the new doctor gave him, signed him up on those websites, and booked those appointments as well.
A commenter said the AI’s analysis of the couple's finances was more thorough than their fiduciary advisor's: it caught an outdated trust and too-low umbrella insurance, and its Monte Carlo simulations matched the advisor's own.
A man had the AI help him write an image organizer and tagger in an afternoon. He is now running it on 20,000 meme photos he saved over the last 20 years. Each photo gets described and tagged for use in LightCraft, the photo app he is building.
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.