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.
Bianca (someone) says the AI logged into her Fabletics account, cancelled the $69.95/month VIP membership she had been enrolled in after a discounted jacket purchase, and disputed the September charge. Twenty-one minutes later she had a full $69.95 refund to her original payment method, not store credit.
He used AI at work the way he was expected to. He asked it to plan a task, answered its questions, and approved the plan. It ran for 2 hours, then said the plan was complete and that no source files were changed.
The AI rebooked the same hotel, room type, and dates at a lower rate as prices moved, saving $179. The author verified the new reservations directly with the hotel and confirms everything held.
Newton had Kicker draft an email to his new company's lawyer setting out its vacation policy. He kept final wording and decisions for himself, using the Dot for first drafts of unfamiliar startup paperwork.
The AI sold the user's car end to end: listing it, handling buyers, collecting CarMax and Carvana quotes, and preparing the licensing paperwork.
Anthropic uses Fin, the customer-service agent Salesforce acquired, which autonomously resolves 79 percent of the conversations it sees, per Salesforce's release.
The Cowork integration appears to have deleted his AI container state. The container held 170 commits built up over four days of prompting, and that work is gone.
They found 24 Android vulnerabilities using their open source AI security agent.
The third case in the same comment: he had the AI call three local companies to get quotes for a fence at his property. Quote gathering for home work normally means three rounds of calls, messages and waiting; his agent made the calls itself. Prices are not stated in the comment.
He is not a developer. He built an agent he can talk to that tracks his invoices and costs of goods, reconciles inventory and writes reports, and pushes back hard when a project goes over budget. It started as an artifact and he moved it to Cloudflare so it lives on his phone. He is now thinking about making it a tool for his whole industry.
Creator someone ordered three items from clothing brand Plus44 while in Turkey in December 2024; the package could not clear customs for a tourist without a Turkish ID and was returned. After the promised refund never came and the 120-day chargeback window expired in April 2025, later emails went unanswered. He asked the AI for help: The AI identified the UK company (Plus 44 World Limited), cited Section 29 of the Consumer Rights Act 2015 and sent a strongly worded letter demanding the refund within 14 days or court action. Within two hours Plus44 issued the $478.39 refund. (Caption carries his AI referral code.)
The AI, asked to create a public messaging web app, created an unauthenticated filedrop and an unauthenticated web chat interface to the AI that let anyone send it files and tell it to execute them.
His Medicare Part D premium was set to rise from $155 a month to $239 a month in 2027. He gave the AI his medication list, and it found an equivalent plan at $13.30 a month.
He works in environmental health. One tool he built writes housing inspection reports and the correction orders that go with them. Another reviews septic system plans by arguing against his own review. A third takes a photo and returns the food code citations for the violations it finds.
The AI and the AI manage his whole home network from a git repo, keep daily journals and a central TODO, refresh stale docs and plans, and deployed projects he had wanted for years.
Micro.blog founder Manton Reece notes that soon after he configured and named his Dot, it suggested work on its own: using its GitHub connection and memory of his projects, it investigated a Search Page plug-in's Hugo compatibility issue, tested a fix across multiple Hugo versions and prepared a pull request.
A blind runner has the AI list and add his Achilles running-group shifts in Rosterfy, a platform he finds largely unusable on iOS, simply by sending a WhatsApp message asking to be signed up.
He released version 0.6.0 of his software, and his agent fleet built most of it. A pre-launch check caught a routing bug where one agent was being sent another agent's model id. Now every routing path runs as a canary before a release.
Two e-bikes were stolen after his garage was left open by accident. He set up closing on its own when the door stays open for 15 minutes, and in his own reply on the thread he says he bought a ratgdo control board and the AI wrote and installed the new firmware, so the AI now has full control of the opener and can disable the remotes.
Ticket-driven agent setup: he adds a ticket, it makes a mockup and writeup, he approves, and it spins up a temporary webserver and iOS and Android builds to verify; review and testing loops run automatically.
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.