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 legal librarian at a law firm had to check ten references for a Belgian lawyer working on warranty of liabilities cases. Three references had errors, one of them serious, and the AI Pro with skills and Google AI Overviews found the right reference in a badly protected PDF on revue-banque.fr where another tool pointed to the wrong one, and one more error was fixed using the next year's index of decisions.
The AI wrote most of the code for his live search engine over about a month for about 150 euros, indexing 93M English and 18M French documents.
Asana says Piper, its Agentforce agent, drives four times the sales conversation volume and took about 45 days to deploy, per Salesforce's release.
The AI books the user's tennis club clinics and pays for them, keeping the user's regular sessions in place without weekly admin.
Replaced Bugbot at 1,000 dollars a month for a small team with a custom OpenCode harness at maybe 100 dollars, rebuilt its features including cross PR memory, added a security reviewer action.
Shana asked her AI 'Marigold' for gift ideas for her dad, who likes golf, capped at $250. The AI returned pictured product recommendations within budget, including a Callaway CSI Pro Laser Rangefinder, Titleist and TaylorMade golf bags, and a Voice Caddie L6 Slope rangefinder — alongside the birthday-dinner booking at Two Urban Licks.
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.
The AI helped clean up his dotfiles and add automation and tests, used to switch devices and identities.
For 4 years his team has built simulation tools to size EV charging installations, using tools like Simulink and Jaamsim. Yesterday he built it in web format in minutes using AI.
Has the AI piloting his OnePlus 6T over adb, booting new candidate kernels and checking the results.
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.