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.
Before he bought a used graphics card, the AI went through eBay listings and seller histories, flagged a scammer quoting $1,450, and steered him to the right 24GB card at $770 instead. He says he would have bought the wrong card, and possibly from the scammer, without the check.
Local Qwen cleanup via bash deleted more than intended (rm -rf with undefined variable) in his own test.
His son is in half a dozen orchestras and bands, plus cadets and Explorers and Scouts, and his daughter is in reception class at a different school. Both schools send everything by email, the important details are often buried inside one of several PDF and Word attachments, and he kept missing things. Over the years the schools had collected three different email addresses for him, which made it worse. He got the AI to help him build a system that runs on a schedule in GitHub Actions, reads the school emails and drops the events into a shared Google Calendar. It costs him about $2 a month in API credits, which he calls much cheaper than a missed guitar lesson.
Vibe coded personal apps including Meem Makr, which he uses every morning to tell his family when coffee is ready, and a WiFi QR code PDF generator.
A mother posted on Facebook on Oct 19 (explicitly 'not an ad') that the AI pulled her sons' school event dates from emails and bulletins she could never find by searching, put them in her calendar, and set a dinner-planning reminder. The AI also emailed the school to update her phone number, confirming everything with her before anything was sent.
A large part of his ripped CD collection had broken gapless playback. The AI looked through the mp3 files, found that a library program had added four frames of silence to each track, and removed exactly those four frames from every track, and playback is seamless again.
The same clinic director built his own phone switchboard where an AI voice answers patient calls first, transcribes them in real time and writes summaries and to-do lists. When two AI models disagree on how a call should be classified, the call lands on a grading screen where he taps number keys to mark the right answer.
His poker group has played together since high school. During Covid they played on a website that later shut down, and there was no good replacement for friends who just want a game of Texas hold'em online. He started building his own with AI while playing with the group, and after he was laid off from his database engineering job he spent two weeks going full time on it: front end, logins, authentication and stats. It is live in beta and free while he waits for his bank to approve that it is not a gambling website.
Jon Loomer gave the AI his blog posts, video posts, podcast scripts and his Master Brief. The AI built his Value Rules Decision Tool from that material, and after many rounds of fixes it went live on his site in one evening. He wrote no code.
He set up a chain from his phone to the AI to his Windows PC and a background browser. The PC published a post to Bluesky and checked it had gone up, while his other screen work kept running separately.
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.