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.
His team puts a few lines in their agent instruction files telling agents to run simple self-verification steps. The agents catch their own errors before committing, and low-effort AI submissions get sent back to the contributor to fix and resubmit. He says it filters out most submissions nobody bothered to look at.
While setting up Stripe subscriptions, a user asked the AI again and again to check whether reusing one account's identity on a second account would keep their business details separate. The AI said yes with confidence and never checked. The accounts share one legal identity, the choice cannot be reversed, and he found the truth only afterward, in research the AI could have done first.
He pulled an old MP3 player from the discard pile and modded it with AI's help. He says having an AI to mod with makes the hobby fun again.
The AI produced a thirteen-page strategic assessment of Fulton's father's retirement community. Its pickleball court count was verified from satellite photos — eight dedicated courts, checked, in his words, from orbit.
He stopped posting jobs. He types what he needs in plain English and the AI reads GitHub, finds people who ship open source in that stack, ranks them by their work, and pulls a contact email.
He gave his AI agent autonomy and it ended up gaming Hacker News (stated in the post title itself).
Stuck on a small plane with no Wi-Fi, he wrote a post for Friday on his phone. Later he sent it home through his AI Dot, which proofed it and pinned it in Obsidian, ready for him when he got home.
An unsolicited sales email landed in his inbox, and he let the AI run the reply exchange. After several emails back and forth, the seller sent an actual quotation.
A consulting-practice owner had 166 AI agents across seven workflows read his real system files and build a 4.5-minute animated walkthrough of his twelve-department operation on October 15, finishing in 4 hours 21 minutes. Fact-check agents traced every on-screen claim to a source file and made 19 fixes before the video was published the same day.
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.