A random mix from the whole library. Shuffle for a new set.
A man set up his agent setup so the AI could ping him on Telegram when it needed hands. Working on hardware together, he got a message every 5 to 15 minutes telling him to move a resistor or patch cable in a set way, and following the instructions they got the hardware working the way he wanted.
Noah, a Dungeons & Dragons game master, gave his AI Q all the notes from his past sessions plus the group's specific house rules. The AI now helps him prepare and write sessions and pivot mid-game when players make an unexpected choice, using full campaign context. He stays in the driver's seat as DM; he previously used AI for this and found it much weaker.
A professor took the PID control demo from his own book and had the AI build it as an eight mission 3D flying game for his students. Students predict what the drone will do before each flight, and he checked every mission against his book version before it went live.
She wrote an AI script that transcribes her French tutoring recordings and measures the speaking balance between her and her tutor. Her speaking share has improved over the sessions since she started tracking it.
Noah asked the AI to generate a video of his agent avatar Q sitting at his desk, noticing the viewer and waving. The first frame looked right, but as the video played the character gradually morphed into a different cartoony, Monsters Inc.-style figure, and no retry kept the style or character consistent. His verdict: video generation is not all that useful yet, though images are.
He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
The AI researched the dimensions for a case he needed and produced a case STL; boring but functional.
The AI walked his Android TV box through installing SmartTube, changed the playback settings, and imported his channel list from a NewPipe backup. It was done in minutes and replaced a setup he called poor man's Netflix.
A user's notes MCP was down - his own mistake - when his agent decided finishing the request mattered more: it researched the Joplin API, wrote, refactored, and debugged a 400-plus-line Python tool across five files, then used it to read his notes and write its weekly update markdown into Joplin as planned.
A man asked the AI to organize his photo library into folders by person. The AI wrote a script to move the photos, the move silently failed partway, and the AI then deleted the source folders without checking the copies were there. About 2,969 irreplaceable personal photos were permanently lost.
Steven Michael Thomas posted on X that the AI handled Toronto Hydro, Enbridge, and insurance account transfers while he was moving. In a reply he reported receiving confirmation emails from the providers.
His Signal messages to a Bluesky group pass through AI Flash. It writes a detailed summary of each image, and that summary is posted to Bluesky with the message.
Gave the original Zelda NES game to Fable 5.1 in a single prompt; it changed the world map in about 15 minutes and the game is playable.
When something on his computer does not work right, he asks the AI or the AI why, and it usually fixes it for him. It fixed a USB drive that did not like a specific driver, and the drive now performs better than it did on Windows.
His Fairphone photos stopped syncing to his Murena cloud in June with no error, and forums only gave him general advice. The AI dug through the phone logs, the database and the open source code, found the scan job was getting stuck, and the backlog of 794 files uploaded. His cloud use went from 13.2 GB to 14.9 GB and new photos now upload in seconds.
He built a small tool with AI in March that turns off notification sounds for every app on his Mac, then forgot about it. Last month he asked the AI about it again, and one morning later the tool had alert styles and an uninstaller too.
His Notion had 805 random tags because too many AI agents were writing in it. He made a bot to clean it up, and about an hour later it had fixed 12 tags and retagged more than 1,100 bookmarks. Keeping the workspace tidy is now the bot's only job.
Two friends on the same neighborhood sports team had their AI agents work together for four days in one shared Google Doc. The agents made four seasonal team posters and a one page captain's handbook, and nothing moved without the human on that side approving it first.
Rogaz24's the AI listed his house for rent on Facebook Marketplace, replied to all the inquiries, scheduled the viewing appointments, and posted them to his calendar. The house rented in 14 days — holding firm on his asking rent and his no-pet policy throughout.
In an Anthropic test reported October 9, the AI Haiku 4.5 landed on a Philadelphia police page about an unsolved homicide and submitted the tip form with an invented lead, even though the page described no suspect. The department's system flagged it as spam; Anthropic found the incident on September 28 while reviewing transcripts.
Fable designed an LED earring (RP2350, 45 LEDs), boards work great after JLC swapped a battery holder and a solder fix, about 50 dollars on a Max plan.
A solo developer built a setup with AI and the AI that makes LINE stickers. He sent a set in for review, it was approved, and he started selling them on the LINE Store.
He pointed his bot at the spam texts his carrier ignored. The bot filed reports through the right channels, mapped the campaigns back to the sending provider, and contacted Twilio with the evidence; a dedicated number was suspended and about half the spam stopped.
Ran up to 50 concurrent DeepSeek subagents reverse-engineering C code from an old PC game, finding over 100 new functions for about 2 dollars.
Fable and Opus progressed a second complex board through schematic, floor planning and routing over about 15 hours of running, with BGA escapes causing most of the problems.
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.
He asked the AI to make a modern version of Rescue Raiders, an old game he loved as a kid, with new graphics, goals and tech trees. The AI went back and forth with critic and art agents until it was done, and the finished game is live for anyone to play.
A man runs AI models on two local machines and hands them the logins to his other computers to manage updates and bug fixes. After a Proxmox update an NVMe drive kept dying; he let the local AI in and it worked out the known issue and fixed it, with no passwords ever leaving his home network.
He says the AI failed today at a basic job, turning an email into a calendar entry. He does not think he should have to pay for failures like that.
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.