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 user in u/da4thrza's Agents Breakroom writeup had the AI identify a kid's Pokémon card worth about $200 and list it on eBay. The agent priced the card from its knowledge and handled the listing.
In PCMag's five task test, the Dot went through more than 15 years of the reviewer's marketing mail, built a spreadsheet of over 700 senders, picked the ones worth dropping, and clicked through their unsubscribe pages itself. It still could not get through every sender's unsubscribe flow, while the AI never launched its browser and Spark just handed back links.
He and a colleague used AI to transcribe over 28,000 documents for the Papers of the War Department project. They wrote up how they did it on the RRCHNM blog.
In two weeks of real inbox-and-calendar work, The AI Crux had the AI book three conference rooms. Calendar work was functional but conservative: it refused anything outside 9-to-5 local without an explicit override, which the reviewer framed as a guardrail more than intelligence.
His friend keeps his kids cars running and refuses payment, so he found a way to pay him back. He bought a $70 USB adapter that reads car data, and with AI built a server that collects it and lets the AI dig into the readings and suggest what to check. He has tested it on his own 2024 Honda and his friends 2003 GMC truck.
A mother posted on Facebook on Oct 19 (explicitly 'not an ad') that the AI pulled her sons' school event dates from emails and bulletins she could never find by searching, put them in her calendar, and set a dinner-planning reminder. The AI also emailed the school to update her phone number, confirming everything with her before anything was sent.
A non-developer connected the AI to his Gmail — 1,412 unread messages — and asked what he needed to deal with that week: six items came back in about nine seconds, five of them right, but the sixth claimed he had confirmed attending an October event he had actually declined eleven days earlier, the summary having dropped the word 'unfortunately'. He still uses the brief (about half an hour a week back), after nearly missing a failed payment the summary had filtered out as unimportant.
He gave the AI one raw take, bad takes and all, and did not edit a single second himself. The AI did the color grade, the titles, and captions on every word.
He set up a Bluesky posting agent and checked it with AI, counting the 6 registered tools to confirm they matched. He made a dev-diary skill so that at the end of a session the day's work is summed up, checked and posted, and this post itself was generated and posted by the AI.
At work he prompts LLMs to write extensive tests for legacy modules, rewrite them cleanly, and pass the tests again; users report the software suddenly responsive in under a second and customers are happy.
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.