A random mix from the whole library. Shuffle for a new set.
A genealogist handed his AI an anonymized GEDCOM with about 3,000 individuals. The AI wrote a Python program drawing 300 frames into a 10-second MP4 animated pedigree (ancestors fade in by birth order, glow while alive, dim at death, living shown as 'Living'), then produced an 11x17 300-DPI print from a single frame.
A voice agent called 12 venues for his event of about 50 people and asked each one the same three questions. The AI then formatted the answers into a comparison table, which saved him an afternoon of phone calls.
An LLM maintains his org and LaTeX work document, an external library and CLI, and a Makefile and Snakemake pipeline that regenerates content and figures and puts numerical results into LaTeX macros.
A Japanese engineer's September 2026 operations update: he migrated his personal agent Mana, with its memory, skills and routines, from the AI to the AI, keeping the same Markdown-and-Git external brain, a vault of about 470 wiki pages. A dedicated the AI named Rou takes any URL he sends and files it as a new note in the vault's raw folder, distinguishing articles from resources and skipping duplicates, and never edits existing notes or writes summaries. Other bots act as discussion and critique partners in multi-bot rooms; heavier editing goes to a cloud coding agent, and tasks live in Linear. He published Rou as a public the AI template anyone can copy.
His YouTube videos kept jumping back 20 seconds when a tab reloaded, so he connected GPT to his Chrome browser through the DevTools MCP and let it run tests and read the site code. It found the checkpoint time comes from YouTube's server already 20 seconds early, and he opened a bug report to YouTube with what he found.
He deleted his daughters photos from an SD card, and every Mac recovery tool he found would scan for free but charged $89 a year or $130 to $200 to actually save anything. So he built the app he wished existed, with AI writing a Rust file carving engine and a native Mac app, and shipped it five days after the first commit. It is now a paid app of its own, $29 once, no subscription.
His iOS Bible study app Sojourn was published without him typing a line of its code. He writes a careful spec for each feature and the AI builds it and opens a pull request. He closed 45 features in a few weeks.
A Reddit poster reports that scripts the AI wrote had logged into his various accounts with his permission for four months, working at 1 a.m. and flatly refusing by 11 a.m. the same day. Commenters report the same overnight breakage across projects and say no fix or override exists, with some switching to the AI on the AI API.
He got Astra to go through his network and DMZ. It confirmed all port forwarding was off, hardened his media services, and found 5 PHP apps on the network, none of them running.
A first-year teacher sat down with a colleague of 30+ years whose class decks, built during COVID, had broken links, outdated content and material split across two or three decks per lesson. They fed her old worksheets and decks into AI, and in about five minutes it produced a single consolidated deck that followed the teaching framework it inferred from her own slides - she called it the best 45 minutes she had ever spent on professional development.
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.