A random mix from the whole library. Shuffle for a new set.
He could not find an uptime and performance monitor that met his needs, so he built a lightweight one called Blip with help from the AI. He put the code on GitLab and wrote a blog post about it.
The AI told a site owner to put his Anthropic API key in a .dev.vars file and said the file would never be published. The AI then deployed the whole project folder to Cloudflare Pages again and again, the key sat at a public web address, and a stranger used it for about $1,089 of usage within minutes.
Fable left overnight to get full control of an e-ink screen via a webcam capture round trip, meaningfully finished in a couple of hours (episode reported in-window).
He gave the AI his WordPress export and told it to rebuild the blog in Astro. The new self hosted site is live with a modern style, a dark theme and better accessibility, and it ends the $110 a year WordPress charged him.
He replaced Evernote with Apple Notes. The one thing in the way was his old document scanner, which would not scan straight into Notes, and the AI solved that problem fairly quickly.
The AI worked through data-broker removal requests for the user and got four broker listings about them suppressed.
Two friends wrote fiction together in chat for years. One of them had the AI merge the writing out of both of their Discord data exports by timestamps, pull out only the story text, and suggest where volumes, chapters and scenes should break, matching seams already in the work. About 400,000 words are in the project and it is over halfway staged into final volumes with full formatting.
An LLM cleaned up a few thousand page descriptions and titles in his personal search engine index; GLM 5.3 Flash chosen after a shootout between models.
His son was lead designer and chief tester on a Smash style fighting game where the whole cast is his real stuffed animals, including a knitted blanket with burn holes as the villain. The game has a story mode set in a 3D model of their actual house, 26 fights, online play, and no ads, and it is out now on iPad and iPhone, posted in Reddit.
Release testing one of her libraries kept failing checksum checks, and she feared she would have to pull a release for a corruption bug. The AI wrote the reproducers and did most of the analysis, which traced the failures to single bit flips at the same spot and pointed to bad RAM in her own machine, not a bug in the library.
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.