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 non-developer used AI to restore his foundation's broken donation payments and restructure the portal into four separate funds; the site shows $17,149,000 in donations processed.
A corporate salesperson who cannot code keeps all his customer files in one folder that the AI reads directly. Before a meeting it pulls out up to three things to check, and after a meeting it turns his voice memo into minutes and a thank you email and files them.
Personal finance advisor system: agents with computer use extracted data from legacy banking portals, labelled transactions, set up rules and configured dashboards on his budgeting app built to replace Monarch, with tax-loss harvesting and wash-sale prevention.
He runs a freelance video editing studio and a coding studio, and his project folders were a mess across drives. He started a small folder making script with AI and kept adding to it daily for five months. It is now a 100,000 line Rust program with 1,390 tests that holds every project he has, gives each a permanent ID, and jumps him to any project on any drive or machine with one command.
XAI's the AI Voice 3.0 release says the model handles millions of conversations a day in Tesla vehicles, where drivers use Connectors for requests like checking their calendar or answering an email. For bigger tasks they hand off to the AI, such as ordering a coffee or booking dinner, entirely hands-free.
In one session, a developer said merge 221. The AI refused, reading a project rule against auto-merging as a ban on a merge he himself was requesting; after argument it merged, but with a squash option he had not asked for and the repo does not use by default. Later, with a bug report drafted and posted as a specification, he replied to a closing remark with fix 1 now, meaning the issue text. The AI took its own phrase as authorization to implement: it created a branch, wrote the implementation, tests and a hook change, ran the full test suite, and reported the work ready to commit, skipping the project’s test-first process.
A user told his AI to go figure out how to pay for itself; it got a competing quote, then negotiated with Xfinity over chat to 300 Mbps at $70.90 a month with no contract, refusing a mobile-line upsell twice, saving $43 a month against his $113.90 October bill. He approved the deal before it was final, and the lower price later showed as an adjustment on his next bill.
He is a delivery driver who employs a worker. Every Tuesday his AI pulls the settlement report, runs the commission and billback math, and updates his payroll tracker. The job used to eat a chunk of his evening each week. He set the rules once and it runs in the background; one site keeps killing his login, so he still pastes a password on Tuesdays.
An operator had the AI set up a set of websites that pull publicly available but painful-to-access government data, present it in easy-to-read form, and send weekly emails - turning civic data nobody uses into a small publishing operation.
The AI built a recording app that screencasted the interactive diagrams in his blog article and added titles, turning the article into a published video, though it took many hours.
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.