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.
GitHub Classroom shut down on August 28, and his Cloud Code Academy ran on it. He wrote a PRD first, then rebuilt the platform with AI over the weekend, with a template repo, feedback pull requests, autograder webhooks and an instructor queue, in 25 commits.
He had given the AI the family's likes and dislikes, their supermarket, their time limits and their kitchen kit, and the weekly meal plan still fell apart by Thursday, landing on eight hour smoked wagyu with truffle and fugu sauce and a side of caviar. It hit the macro targets and missed everything that mattered. He does the plan himself again.
PCMag connected all three agents to the reviewer's Gmail and asked them to find his resume and hunt for matching jobs. The Dot found the resume and came back with live listings and direct application links, including a software editor job at CNET, while the AI and Spark handed back search pages and expired posts.
Set up NixOS on an ancient laptop using AI to factor the config; now uses the same config to manage three machines with easy rollback.
The AI wrote a test run scheduler and migrated to nextest, cutting local release build cycles from 60+ seconds to about 3 seconds.
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.)
Anthropic's Project Swap sent 201 employees' the AI-powered agents onto a digital trading floor to pitch, haggle and strike book-swap deals. Agent preference rankings matched their owners' on 61 percent of book pairs, and staff ended up with roughly their fifth choice of ten; most of the shortfall came from misread preferences, not bad bargaining.
The AI built boot images for a box of ancient single-board computers and got them running; one now hosts a persistent tmux session.
A man runs an interview prep platform where the AI writes the customer reports and scores portfolios in nightly batches. Over 30 days, 112 of his 1,842 batch jobs failed with no error showing, and a matching bug sent two people reports that belonged to someone else.
A testimonial graphic quotes someone: 'my first money with someone — connected my email, asked to find all flights I had in last 5 years, find the ones that were delayed or cancelled.' The agent mined years of inbox history for compensation claims.
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.