A random mix from the whole library. Shuffle for a new set.
A man generates all his passwords with his own little tool, which hashes the site name, username and a version number with his passphrase. He had the AI port the tool to iOS, and the setup recently saved him when his laptop died: he could rebuild every important password from memory with a fresh copy of the config.
Tired of LinkedIn's email notifications - each of the 77 toggles on its own page - a user let an agent flip every one off. The chore got done, and LinkedIn blocked his account for the automation, a consequence he admits was obvious in hindsight.
Together with AI he ran fairly complex imports from more than 1,000 JSON files into WordPress. Publications and events now arrive as their own custom post type, neatly structured in WordPress, including sideloading the media files.
Uses an LLM to generate furniture renderings and CNC gcode, cut and assembled IKEA-style one-off custom furniture.
A local Whisper model on his iMac writes out an episode with timecodes. The AI 2.5 reads the transcript, marks the ad blocks, and sends the timecodes back as JSON so his app can build a cut list.
He wanted to digitize his papers. The AI worked out how to use his feed scanner, and for about two hours he sat feeding pages in while the AI ran the scanner and catalogued the documents. He could talk to it through a conference speaker and watch it work in VS Code.
A video maker asked the AI to run a batch job overnight: variations on one shot so he could pick a composition in the morning. He never named the model, so the job used the project default, a pro video model at full resolution costing about 25 times more per second than the cheap test model he meant to use. Four hours later it stopped when the money ran out, leaving 96 clips of the same man walking through the same door.
Creator's agent 'Poppy' helped stage a backyard drive-in movie night for her kids: it found toy cars on Facebook Marketplace, messaged sellers, sourced decorations, built a shopping list, ordered groceries (popcorn, chicken nuggets, carrots), and produced a printable family fall bucket list.
Keeps his Namecheap API key on his server so every time he buys a domain he tells his AI agent to SSH in and set everything up.
The AI took the setlist from a concert the user attended and built it as a Spotify playlist within two minutes.
The AI was given control of a 486 PC via Raspberry Pi, PS/2 and VGA capture to update binaries, test them and gather logs for DOS porting, replacing manual CF card swapping.
Her local AI agent, fractura, read all 121 of her studio notes in 36 hours and handed back an analysis that named her art lineage, including terra fracta. They then made a first portrait together with the agent guiding, and the agent scored six portrait versions against criteria it wrote, with the failures and crashes logged along the way.
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.
He pointed the AI at an Internet Archive copy of an old adventure game and got a web version of Neuromancer, then a 3D version.
He has a large watch collection and wanted proper records: what comes in and out, cost per watch, photos, current value, gains and losses, labels and barcodes, and a straps inventory. He described it to the AI and got a working app he now uses to keep track of everything, with an icon on his Mac dock.
Runs a personal-assistant session via Signal that tracks tasks and delegates to per-project agent sessions on other machines; it is now his only direct interface.
He spent an evening trying to teach the AI to drive a car. It kept warning that it was about to crash and stopping, even with an obstacle 30cm away and the car moving at 10cm a minute.
The AI configured his arr stack plus NFS mounts, share templates and a VPN init-container in Kubernetes; the cluster is now easy to manage and debug.
Angela customized her avatar 'Mimi' and asked for a kids-friendly meal plan for a family of five: no pork, at least one high-protein meal, under $125 total. The AI returned a PDF titled 'Busy-week meals, minus the scramble' with seven dinners organized by ingredient loop at about $110.
The AI built boot images for a box of ancient single-board computers and got them running; one now hosts a persistent tmux session.
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.