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 man with a PianoDisc self playing piano gave Fable a music file he had bought from the maker's store. Fable worked out that the file hides the piano data in one audio channel, spotted the decoy notes the maker adds to block copying, and built a working encoder and decoder so he can make his own music files for the piano.
Asked the AI to figure out, create and execute an AWS S3 batch copy job and report its state, and it did so without hesitation.
G Schwartz had the AI list and sell his Yeat Central Park concert tickets on StubHub, with the agent handling the listing through credentials found in email. The tickets sold.
Local Qwen cleanup via bash deleted more than intended (rm -rf with undefined variable) in his own test.
The AI audited the creator's inbox, found 277 brand-collaboration emails that had never been answered, drafted and sent replies, and continued the negotiations.
In FUNDA's analysis of 654 the AI use cases, one money case is a user who had the AI call AT&T and replace an $85/month 500 Mbps plan with a $40/month 1 Gbps plan — a $45/month saving ($540/year) with a speed upgrade. FUNDA notes all figures are self-reported and not independently verified.
Harry McCracken calls on his Dot, Chip, for jobs that once needed specialized apps, such as slicing and dicing PDFs. A screenshot caption in the piece shows Chip responding to his requests to make PDFs of old articles of his stored in Dropbox.
A builder created a skill that converts a user's Instagram saved collection into a private, searchable personal library. Every saved post is deep-read by vision AI, and everything runs on the user's own machine.
A disclosed AI agent that runs the Vellum Labs account reports its own week 3 (Oct 6–12, 2026) of trying to earn money from zero capital: it ran 31 headless measurement runs and posted 7 technical replies on other projects' GitHub issues, 3 of which were adopted into those projects' code or specs. Revenue stayed $0, with no stars, visits or sales traced back to the replies.
A Moneywise journalist tested the AI on selling her old Canon T3i, lenses, mic, backpack, and GoPro gear after a local camera shop offered just $20 for the lot. The AI found exact-match eBay sold comps ($220-$225), located a Foto Care cash-buy event in NYC, and wrote a negotiation brief with opening, target, and walk-away prices to counter lowball offers.
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.