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.
X poster someone had the AI run a day of errands: bought socks, ordered Whole Foods groceries, booked a cleaning service, picked a burger dinner, and saved $200 by canceling unused subscriptions.
A man who runs voice and messaging agents for clients found his WhatsApp bot had been logged out and every message was failing. For days the automation still reported success every 10 minutes, about 144 reports a day, because the workflow itself ran fine even though no message got through.
A man built an agent in Antigravity that goes through his concert history from the last 3 years and picks new shows near him, ranked by how much he is likely to like them. It also filters shows by 18 plus or all ages, so he can take his daughter.
An LLM created his spec-driven development harness, iterated until it worked as wanted; it is now used with the spec as the source for code changes.
Had an agent write an MCP for his SearXNG setup, then do comparison passes against server-side LLM web tools and tweak it; it works pretty well in his own search use.
His insurer would not pay for a damaged well on one of his gas leases, and two insurance law firms told him he had no case. The AI read nearly 230 pages of contracts, letters and legal opinions, found his policy kept older, more generous terms from 2015, rewrote the claim, filed it by email, and he got the money.
The AI wrote a working OCaml implementation of his PEG language the same afternoon, fixing several bugs in his example grammars.
Used the AI to get 4 unfamiliar Proxmox LXC services working, drafting configs and VPN-only firewall rules in 2 days instead of about a week.
Eleanor Konik writes that she hates requesting books through the county library website, so she told the AI to find books about chess aimed at a bright 6-year-old; the AI picked titles and requested them using her library account. A few days later the county emailed that the books were available, and she picked them up (her post also shares an AI invite code).
He added a feature to his blog that uses GPT-6 Luna to look at each daily comic and add a note about what is in it. Doing all 270 comics cost about 20 cents in total.
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.