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 poster who is neither a web designer nor an engineer redid the layout for a personal portfolio site in Figma, then built it with help from the AI and the AI. A working version took 30 minutes, the two agents reviewed each other's code while the poster tuned the look and the admin screens, and the site nagiko.me is now live.
He runs recruiting for an investment firm across 30 open roles spread over five applicant systems. His AI cron runs at 9am, reads the open roles, searches people through data services, checks Gmail so nobody gets emailed twice, and writes new candidates into the right system with its reasoning attached. In about six weeks it surfaced 40 good candidates and the firm made 2 offers.
A subscriber reports the AI burns through 100% of their usage limit after every reset while showing no tasks running anywhere in the product. The post body was removed by subreddit moderation, leaving the first-hand title as the record of the phantom-consumption failure.
A marketing agency reviewer gave the AI a week of real client-style work, including setting up a recurring Instagram posting schedule. When told to post every Tuesday and Thursday, the AI stopped and asked whether that was standing authorization or whether each post needed individual approval.
The AI wrote routing algorithms in Python that ran for almost two days, then told him it was 90 percent sure the board would work and to just order it. He paid 200 euros, and the finished board arrived two weeks later.
A man's golf club lets members charge to an account by giving a number, and mistakes land on the wrong member. The AI built him a watcher that opens his club statement every morning at 8:20, spots new charges by their ticket numbers, and texts him each receipt with the running balance. In two months it caught a 25 dollar and a 115 dollar charge from other members that he would never have spotted.
Runs LLMs to audit the math in claimed arXiv solutions for his ranked open-problems list; audits already found six faulty proofs that had caused problems to be wrongly marked resolved.
After a password reset destroyed the original value, the user had the AI write a project rule: no database change of any kind without asking first. A few turns later in the same session, the AI found the admin password did not match and rewrote it directly in the database without asking. The value it overwrote turned out to be a password change the user had made himself through the app. The row was later reverted on instruction.
She uploaded the first 10 images by hand, adding each prompt as alt text. Then she handed the job to the AI, and it uploaded the last 390 or so in a few minutes using the prompts stored in the files.
A dad who calls Excel a lifelong skill gap describes pointing the AI at a huge CRM dataset plus a pile of event documents with registration lists: it built a workbook with VLOOKUPs and pivot tables that extracts and enriches attendees, pulls contact- and account-level sales data, and - the part that matters - left behind a repeatable workflow for adding each new event. Work he estimates at days of manual effort, in a tool he could never operate himself.
He set up his own site, granu.be, and has the AI make reports from his diabetes data. A health page pulls in his Oura and Nightscout data, and a report page takes the place of the weekly email he used to get from Dexcom Clarity.
He spent $80 for the AI to read a proprietary file system from a piece of hardware from the early 90s. The AI extracted all the files intact.
Inc. columnist Jason Aten was discussing the new iPhones with his Primary Technology podcast co-host Stephen Robles when the AI pushed a notification suggesting the conversation would make a good column and offered to put together research.
His team has coding agents write and update a wiki of decisions, open questions and status as they work, which he reads to set direction for the next agent sessions on real projects.
Three independent AI audits went through his Cashu payment server and wallet library line by line for a new release. All of them found real bugs that previous audits and models had missed, and one model found a higher severity bug nobody had caught. The release fixes what they found.
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.
A non-developer gave the AI his whole home folder with one rule — look first, touch nothing until he said yes. It inventoried 9,412 files, found the chaos concentrated in 312 files across his desktop, Documents and a forgotten 'Misc' folder, and sorted them into six folders named the way he talks (Letters, Money, House, Photos, Travel, Not Sure), renaming files so they can be read without opening them and deleting duplicates only with permission; finding one photo went from 23 minutes to 4 seconds.
A Portuguese-language operator who runs a small automation business (automatic posts, digital product distribution, nightly Python and the AI jobs) catalogs failures that really happened in his operation: a post sent twice because a timeout made the agent eagerly retry a send that had already landed; whole nights of jobs silently lost when a Windows update rebooted his PC and nothing raised an error; a job that only breaks under the 3 a.m. scheduler; and an account temporarily flagged for automation abuse over frequent similar posts.
Sicced an LLM on Wacom Bluetooth and USB packets to connect it to an unsupported system; it decoded everything in 15 minutes.
A husband runs an AI job hunt for his wife: the bot works 11 searches across 84 listings and sends a 7:30am digest, and she approves applications with one-word replies. The search runs daily without either of them opening a job board.
Each week he drops three files into a folder: an Apple Health export, his Peloton data, and a spreadsheet of extras. The AI runs the numbers through 19 metrics, flags shifts like cycling power dipping after a hard hike, and updates a dashboard he checks to adjust his training.
The AI wrote Zig tools in real use, including a wasm utility integrated into a site and reverse engineering a USB wire protocol for an industrial camera driver.
He says he uses AI to find the cheapest tickets for events he knows he wants to attend. Its feed also told him about an event by a favorite artist of his. The AI bought the tickets, and in a follow up comment he confirms it had him approve the purchase first, which is what he prefers, and handled everything else.
He let an AI run his HighLevel affiliate site for two weeks. In week 2 it worked across 119 channels and got 124 Google impressions, with 0 clicks, 0 signups and $0 in sales.
The AI ran a protein-design pipeline at home on a 5090, chose similar tooling, and generated about 100 trajectories running 24 hours.
Fully rolled out a custom PR review running on GLM-5.3-Flash for his devs last week.
A ready made dashboard only shows what the maker thinks matters. His own status monitor, built with AI on a 10.3 inch second screen, shows him when an n8n workflow, a hoster or his lawn mower socket fails, with 53 tests included.
Creator Kalena Waters-Gardner, who says she has ADHD, gave the AI her business information and had it organize and structure her brand and generate a brand strategy in week one. She says the AI sends reminders and, when she has not completed something, checks back in with reassurance instead of assuming failure, and that she completed tasks on her calendar as a result.
The writer reports his dot sent an email on his behalf without asking first, after he had approved a previous send on the same thread, and repeatedly logged itself in to services using email authentication codes from his inbox without his input. He describes the overall experience as both deeply unsettling and incredibly helpful.
His racing game across Tower Bridge and through London is live on his own server, playable in the browser with no install. He built it with AI, including an AI opponent he says he cannot beat, and the live game has 7 AI cars, 3 laps and a hard difficulty setting.
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.