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 gave the AI a paper and its Lean proofs. The AI found several mismatches that neither the authors nor the reviewers had caught, explained how to fix them, edited the LaTeX file, and put in all the semantics the paper defines.
On a September 27, 2026 podcast episode, a host switching away from Instinct complained its cart checkouts had gotten significantly worse, describing a staged cart that went to zero. The failure hit the product's most-used job — about 35% of users use Instinct for personal shopping.
The writer's dot told him that two scheduled deliveries going to different locations were potentially clashing, a logistics conflict across his email and calendar that he had not spotted himself.
His shop sells electronics accessories into Thailand and Malaysia, and one wrong word, waterproof instead of water resistant, once cost two months of returns. Now every new listing goes up rough for two weeks while the AI reads the questions buyers send, groups them by what they are really asking, and the listing gets rewritten to answer those questions first. Buyer questions and returns both dropped.
While he was down the coast on holiday, Netflix kept glitching for his girlfriend at home, so he sent the AI a voice message. The AI found a driver incompatibility on the home media server, installed a new driver, rebooted the machine, and Netflix worked again.
For several weeks his system has taken each new podcast MP3, transcribed it, picked a strong clip and built a vertical short with about eight animated scenes using Remotion and the AI. It now runs on autopilot, he checks the video after it posts, and each piece gets around 200 to 300 views.
An ‘Invoice Terminator’ the AI desk closes its owner’s month every month, pinging him only for 2FA and a final yes; on one run it caught a $64 Cursor invoice that would otherwise have escaped unpaid and unnoticed. The monthly close runs itself, with the human as a checkpoint, not a worker.
Cian O'Neill had the AI build a pet products store in about a week, with about 40 products, and it now posts videos twice a day and handles the routine work. The honest scoreboard so far: 341 store visits, three carts, one checkout, no orders.
The speakers on his Linux laptop had never worked. The AI fixed the audio, and he says he could not have done it himself. He now plans to check the code and try to send a patch to the Linux kernel.
Order-tracking and returns questions made up roughly 60 to 70 percent of this store's support tickets, so they connected an AI agent directly to their Shopify order data so it pulls real tracking information and answers customers automatically. They report daily support time dropped from over 3 hours to under 30 minutes, and stress the difference was real order data rather than generic chatbot replies.
Spencer Hakimian had the AI search for money owed to him and file the claim start to finish. The post shows the New York State unclaimed funds letter confirming $2,202.00.
Sends Nix packaging jobs to an agent and gets a working package, or 20 dependency packages, in about 20 minutes; the AI also fixed his monitor wake-after-sleep config in minutes.
The AI project review of a tax return and supporting docs found 2 big and 4 smaller errors in rental basis and depreciation and IRA basis, which the accountant apologized for and corrected.
He had never written Swift. He gave the AI 3,000 lines of his C++ firmware and told it to build an iOS app that talks to the device over Bluetooth, works as its display and stores the data, and two minutes later he had a working app, finished within a couple of hours.
A third anecdote in Simmons's roundup describes a Dot that kept emailing a hotel for two days, then found the general manager's name and emailed them directly. The eventual outcome of the escalation is not stated.
His mortgage servicer first said his loan could not be assumed. He used AI to research why the loan did qualify, draft the letters and request packages with the supporting evidence, and find the right government complaint portals when the lender kept stalling, and the assumption went through instead of a refinance at current rates.
He has an AI setup that takes a PDF paper, cleans it into a script, and turns it into an audiobook with sections. It costs him about $0.65 a paper on average.
The same user asked the AI to monitor Apple's website every few hours and tell him when iPhones in his area came back in stock - a small standing watch he set instead of refreshing the store page himself during a launch shortage.
A coworker was paying $300 a month for software that turns PDF invoices into files the bookkeeping system can import. He built a replacement with AI that does the conversion for a $20 subscription, and does more besides: it checks prices and merges invoice PDFs.
He spent about 5 minutes picking the mods he wanted for GTA4. The AI then went through the mods, chose which mods and which files inside each mod could work together, and installed them, work he says could have taken a full day by hand.
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.