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.
The owner of a roughly $800k-a-year buy-and-resell business describes having almost none: no CPA, no accounting software - the entire P&L is done by hand in one January evening from bank and credit-card CSVs. The one analytic step is periodic: he pulls the ad campaign data, feeds it to the AI, and from its read decides which products to remove and where to increase or decrease spend.
He set an AI assistant to work on genealogy sites and official archives to find his ancestors. It searches for a person with unknown parents, transcribes the record it finds, checks it against an official act and adds the new people to his family tree file, and the tree now holds more than 1,200 people across 13 generations on one branch.
DeepSeek upgraded gnarly, exploitable PHP 7.x code to fully patched PHP 8.3 in about 15 minutes for a few dimes of tokens.
He connected his Gmail to an AI task that watched every new email and was only allowed to interrupt him when a message needed action or came from family, with a draft reply ready. All afternoon it alerted him three times, for a bank message, a family email he answered from its draft, and a ticket itinerary change he needed to act on.
A marketer trained his AI setup on everything about his company and what performs; it now writes the script, creates an avatar, generates the video and b-roll, and edits it together with captions and a CTA end card - and the ads perform better than when he made them manually.
Saving his Bluesky threads as Markdown files for Obsidian was a chore he kept doing by hand. He asked the AI to build a converter, and the finished tool is up on his site for anyone to use.
Team Data Platform Agent, evolved over 2 years, is widely used for SQL questions, on-call alert triage, lag monitoring, and scheduled workflows fixing bad data.
A SuperGrok subscriber reports doing a lot of PC maintenance and drive organization through AI, burning through only 33 percent of his usage allowance with four days still left in the cycle.
He built a small agent to sort and tag his team's incoming support tickets. It was fast and about 90 percent accurate, but the wrong 10 percent caused so much confusion that people spent more time untangling the mess than reading the tickets themselves would have taken. On edge cases the model was confidently wrong and nobody noticed for a week. They scrapped it after a month and went back to tagging by hand.
Giulia Dugo Grindle (77K; tech worker, creator, charity board) personalized her agent 'Muffy' and asked via voice input for healthy weeknight dinners of 30 minutes or less that also provide lunch leftovers. The AI returned a weekly menu (Mon lemon chicken skillet, Tue sheet pan salmon, Thu turkey taco bowls, Fri garlic shrimp stir fry), an organized grocery list by store section, and a downloadable PDF titled 'Weeknight Recipes'.
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.