A random mix from the whole library. Shuffle for a new set.
A user in the AI Facebook group posted on Oct 18 that the AI could not save files directly to his computer the way the AI could, so rather than buy a subscription he built his own bridge in about six hours. The AI can now write straight to his local files, compatible with his existing agent stacks, and he published the tool open-source on GitHub.
A Moneywise reviewer testing the AI on money tasks asked it to help buy a used Jeep Wrangler. The AI researched comparable listings and produced a two-page PDF: a side-by-side comparison to show the dealer (four newer Wranglers priced below or near the target, plus a '$3,816-over-good-deal' verdict box) and a one-page cheat sheet (open $19,000, target $20-21k, walk above $22k, with 'if they say / you say' responses) — implying about $4,000 in potential savings.
One of eight hands-on tests run on the reviewer's real accounts; the AI scored 42.5/47 overall across the gauntlet.
Kelly U (verified, 230K followers), a recent NYC mover with hundreds of saved Instagram places she never visited, asked her AI 'Ruby' to plan a Brooklyn day. Ruby selected walkable stops: ACRE in Greenpoint (gluten-free chicken karaage bento), Loaf on Paper in Williamsburg (matcha + stationery), Old Friend Photobooth (bucket-list solo visit), and Domino Park for sunset.
A man used AI to build a full runbook of how his Linux desktop is set up, covering installed software, configs, hacks and workarounds. He then used the runbook to move to a new laptop in one afternoon, and the runbook now keeps itself up to date.
He has done a couple of circuit boards using AI and Fable. Each one came back from manufacture working first time, which he says beats his own success rate doing boards by hand.
He drafts in an AI app, and the AI itself sorts each piece, tags it, and moves it word for word into his Obsidian vault using a skill he built. The filing runs as part of how he writes.
Liang Gou wrote no code himself: he directed the AI to design and build a complete grading app for his wife, a high school math teacher grading 100+ papers a week at 3 to 5 hours per test. The rubric engine reconstructs a rubric from a single graded example, its eval bank comes from real AP Calculus AB free-response exams, two models cross-check grades, and the agent tested the app itself in a browser before deployment.
The writer's mother forwarded him an email asking if it was a scam, and he thought it was. His dot corrected him: the suspicious-looking email@contact.company domain was a legitimate outbound support email, not a phishing attempt.
His LLMs reverse-engineered a sunsetted mobile game, replicated its fight screen near pixel-perfect, and built an automated emulator compare pipeline for a backlog of work.
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.