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 set up a pipeline he wrote himself. Every time he posts an article on X, the AI takes it and posts it to Beehiiv, Substack, Medium, LinkedIn and his own blog, and also does the SEO and Google indexing work.
Fast Company's Pete Pachal asked his AI 'Jones' which robot vacuum to buy. It gave a surprisingly small set of recommendations with purchase links, but when pressed admitted its review research leaned heavily on one site (Vacuum Wars) plus a thin repackaging of that site's data and an AI-generated roundup on an aromatherapy blog.
Josh Pigford started FirstIndex, a service that gets companies found on Google and in an AI app answers, at $1,000 a month. Within a month it was at about $570,000 a year in recurring revenue with about 30 clients, and the AI does most of the delivery work.
One user listed what his AI did over a few weeks: filed his homestead exemption back to 2024 (about a $4,000 refund on the way plus roughly $2,000 a year), switched his car insurance to Progressive (about $1,500 a year), moved him to a cheaper power plan (about $800 a year), filed 20+ class-action claims for him and his wife (about $500 expected) and applied to 15+ jobs that led to interviews. He put the total at about $9,000, with forms prepared for his approval.
A voice agent called 12 venues for his event of about 50 people and asked each one the same three questions. The AI then formatted the answers into a comparison table, which saved him an afternoon of phone calls.
Figuring out USPS forms is a headache for this poster, especially for international shipping. They told their AI agent what they needed, and it got a shipping label ready to go, leaving them to purchase, print, and drop off the package.
He uses AI Desktop as his social media manager and mailing list manager. Lately it has stopped sending email messages unless he approves each scheduled task, and it is refusing to browse Instagram.
Filing travel reimbursement, the author realized he never got his hotel receipt. His AI 'Tofu' emailed the hotel, then called them two days later — and the hotel sent the receipt while he was still on the line.
Analyzer agents audited and trimmed skill files, cutting about 18 percent then about 600 more lines, and extracting bash into scripts turned up bugs.
He used AI to create a small tool on val.town that automatically syncs his GoodReads updates to BookHive. The val.town blog featured the tool as one of his experiments.
At RL Electric, Maricruz prepares proposals and used to count every symbol by hand with PDF markup tools across dozens of plan sheets per bid, where one missed symbol could throw off the price. Quotr.ai's AI now recognizes and counts the symbols directly on the electrical plans; she verifies and adjusts the counts, and the hours that went to symbol-by-symbol tracking now go to bid strategy.
He does not write code himself. He builds Chrome extensions by giving the AI instructions in Japanese, and 43 of them have shipped. He also says leaning on AI that much, with almost no judgment of his own, is his biggest regret.
A solo developer is building an independent Rust blockchain from a white paper. AI coding agents write most of the code under his direction, and AI models review it. An agent implemented the fix for a stake counting overflow in the consensus check, and the developer decides what merges and runs the tests.
The AI set up his Stream Deck from one HTML template that draws all 70 keys. Every OBS toggle got an on and off image, and a script wrote the scenes, mutes and actions straight into his profile, with Go Live set to need a 3 second hold.
A reel from the verified 'the AI' brand account (100K followers) has the presenter delegating his personal to-do list: planning three dinners based on fridge contents, budget, and taste preferences, then generating a grocery list for approval before ordering; drafting a refund request email for a damaged desk lamp with the agent set to ask permission before contacting support; auditing subscriptions to identify unused services (Paramount+, Apple storage, LinkedIn Premium) for review and cancellati
Runs an LLM once a day on his dev VM to scan the disk and delete leftover garbage left by other harnesses.
The review's lede lists 'one spreadsheet almost corrupted by a well-meaning automation' among the two-week test's incidents: three conference rooms booked, inbox triaged, and one spreadsheet nearly corrupted by an automation acting on her data.
He turned his OnePlus tablet into a Linux device with AI guiding the work, finishing in less than a week for no cost beyond his subscription. Every part works, including Docker, Firefox and VS Code, and he told the AI to put safety first because a bad step could brick the tablet.
The open-source 'burner' project gives the AI a real spare Android phone (Android 11+). The agent uses the phone's apps exactly like a human would — opening them, tapping, typing, scrolling — and sends the user screenshots, extending its reach to marketplaces and shopping apps with no website or API.
Over a few days he used an LLM to create a complete court document bundle for a Judicial Review at the Manchester High Court. He filed the documents today and the court issued them within 5.5 hours, something he says he had no chance of doing on his own.
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.