A random mix from the whole library. Shuffle for a new set.
A man built a small rig for his single board computer with two microcontrollers, one for the serial terminal and one running a servo taped to power switches so the AI could power cycle the board itself. Left running, the AI spent all day and night working through the board’s network chip quirks until the driver worked.
He had his agent migrate his machine from Ubuntu to Omarchy with a backup taken first and a restore tested. The switch took about an hour, and he says he is not going back.
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.
He ran AI for three days on a headless ThinkCentre Tiny in the corner, driving it from a browser. Out came a learning page that walks through one job of an AI agent from order to approval to publishing, and a playable online photo darkroom where visitors expose their own photo and the file never leaves their browser.
Asked a chatbot to make a browser extension that adds the Google Maps link back to search results; uses it almost every day.
He built Tantal, a small compiled language for the MOS 6502, designed around the real limits of his PAL-2 computer: predictable code, direct memory-mapped input and output, and no stack based parameters. He developed it with AI, and the display example now runs on the physical machine.
He set the AI to export his liked songs from a streaming platform, track 365 artists, and send weekly concert notifications — commenters describe the Saturday roundup as a standing routine.
The AI audited the poet's 6,500 Threads posts against the master file for his collection and found 525 poems that had never made it into the file.
Working with two economists, Schwartz's team built an 'AI data editor' with AI: it ported the replication packages of 4,452 papers from five leading journals out of MATLAB, Stata and other commercial tools into open-source code — some 30,000 routines — and checked essentially every verifiable number against the published tables. The work, normally a careful manual job for a journal editor, is written up in an NBER working paper.
He caught the new supernova SN 2026aaiv in NGC 7331 from his backyard with a Seestar S50, taking 371 ten-second shots. With a lot of help from the AI he measured its brightness for the first time, getting V = 12.5 plus or minus 0.2.
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.