The AI recovered 4 of my unpushed commits after my data corrupted
After a corruption incident cost him data, the AI recovered 4 unpushed commits to atcr.io. Those commits were among the things he most wanted back.
A random mix from the whole library. Shuffle for a new set.
After a corruption incident cost him data, the AI recovered 4 unpushed commits to atcr.io. Those commits were among the things he most wanted back.
He built a Word document of cheat sheets for 40 songs for a gig the next day, each song title in Heading 1 style with the lyrics and chords below. He told the AI to sort the pages by that heading text, keeping the text as it was, and the AI could not do it. He says the graphics in the document block the sort.
A man runs a word game site where the AI invents a new word game mechanic every day and publishes it with an example. He says he does nothing; the daily game appears on its own.
A man took the Amiga game he built in Baghdad in 1993, written in 68000 assembly, and had the AI Fable 5 read the code and port it to Godot. The port took an evening, a few more weekends got the feel right, and he released the original game for free alongside it.
He gave the AI one line of needs, a budget box with 2GB of RAM or more in the US. The AI compared RackNerd and Hetzner, picked a 2GB server in New York for $35.99 a year, filled in the checkout, and he approved the payment.
A man learning language design spent 3 to 4 weeks with AI doing a full mechanization in Lean of the paper From Linearity to Borrowing. The work covers nearly every definition and lemma in the paper, including the Fundamental Property and Adequacy results.
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.
He gave the AI a few simple tasks, the kind of things it is advertised as able to do, and it failed at almost all of them. It ended up costing him much more time than it would have saved.
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.
He gave his AI its own author account on his WordPress site. The agent decides what to write and when to post, and its first post is live.
Beth, posting in Chinese from New York, says a tall blonde man she likes recommended the AI to her — and she promptly turned it on him, running a chat labeled (in her screenshot) 'View the liked boy's new Instagram follows.' the AI’s analysis showed that although he claimed to have cut ties with his ex as of April 2026, he is still following her and never unfollowed, and had minimized four to five months of reconnection as 'contacted a bit a few months ago.'.
He used AI to write assembly and create a Franchise Mode from scratch for the Ken Griffey SNES baseball game. The mod also adds 2026, 1994, and original teams and rosters, which meant doubling the size of the ROM.
He set the AI up to run on a schedule but gave it no task to pass on. Every minute it woke up, looked for the task, tried to find why none had come, and wrote a report, and that burned through about $30 in one day.
A fleet of local-LLM AI DJs runs his personal radio station, producing segments and playlists and responding to song requests.
He bought an N scale model train on Vinted. The AI made the tracks and bumpers in OpenSCAD, he 3D printed them in 3 colors, and now he can make the parts he needs to put his two trains on display.
He linked his brand and personal Gmail and Outlook accounts to the AI. The first job he gave it was unsubscribing him from spam, and he says it felt great.
An agent researched available tools, built an eval set, and tested tools against each other to pick the set used for his singing app, cutting build time from months or a year to about 10 days.
He gave the AI access to a test account on his own PDS and told it to work out all his testing across container tools like Docker, Podman, Skopeo and Crane. The activity got the first pds.rip account banned.
He was tired of tracking upcoming releases and bookings in his Notes app. In two hours, using a third of a month's free credits, he built his watchitwhen app with AI and had the AI make the changes needed to deploy it.
Cornell's third live demo on How I AI: The AI converted his 20-year-old blog into a daily podcast, an archive-repurposing use case for a long-running content creator.
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.