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.
He runs recruiting for an investment firm across 30 open roles spread over five applicant systems. His AI cron runs at 9am, reads the open roles, searches people through data services, checks Gmail so nobody gets emailed twice, and writes new candidates into the right system with its reasoning attached. In about six weeks it surfaced 40 good candidates and the firm made 2 offers.
The AI rebooked the same hotel, room type, and dates at a lower rate as prices moved, saving $179. The author verified the new reservations directly with the hotel and confirms everything held.
John Voorhees has his Dot, Puck, coordinate his work: he spins large projects off into AI threads and lets the Dot manage them, alongside setting up tasks, checking email and doing light research. He says the delegation has worked reliably the couple of times he has used it.
Commenting on a money thread, he says the AI found him over $1,000 in states he used to live in, money he did not know about. On one claim the only thing he had to do was enter his social security number at that step. $600 showed up a few days later. For the other states, which need forms that were emailed to him, the AI built him a package and checklist to fill them out.
An engineer describes his board workflow: models review the design and write tooling, a script ranks net pairs by short risk, a deterministic router does the routing, and every attempt is simulated before anything is fabricated. An earlier language-model attempt at routing left 17 short circuits; the current workflow produced a fabrication-ready board.
The Nautilus file manager never offered a miller columns view. He forked it and had the AI add the feature, and the fork is publicly available.
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.
His Nostr relay moved from a single container to a Kubernetes cluster, redeployed by the AI with an uptime monitoring setup watching it. He reports the relay is faster and the migration went smoothly.
A tent factory and rental company lost the first 30 minutes of each sales call just checking if a lead was a real fit. Its WhatsApp agent asked the technical questions, dropped poor leads, and handed ready leads to sellers, and buyers who spoke with the agent converted at 3.54 percent against 0.56 percent for others.
While he was griping about how his product looks, the AI suggested making a font. He let it install FontForge and make one. The result was poor, even though the AI said it was a good job.
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.