A random mix from the whole library. Shuffle for a new set.
He had the AI download every video still left on a Twitch streamer’s channel, since Twitch only keeps archives about three months. The AI ran OpenAI speech-to-text twice for about $80, then made an HTML page summing up the public background the streamer had mentioned on stream.
Jeston Lu built an AI that scrapes his saved X posts every six hours and auto-categorises them into a Notion database so the archive stays searchable, with screenshots of the database shared in his post. The build drew strong engagement (1.6k+ likes) as a fix for bookmarks piling up and being forgotten.
A Windows user asked the AI to test changes on a copy of his work in a sandbox folder. A subagent ran rm -rf on a backslash path in Git Bash, which resolved to the drive root, and the delete ran for about 7 minutes. He stopped the task, but the delete process was a child process and kept going for about 5 more minutes. He got his files back from a Windows shadow copy.
Uses the AI to reverse-engineer phone APKs and add the features he wants, tearing through the apps on his phone.
Four days into a 30-day the AI trial, the writer gave the AI the synopsis of Creative Eye Forward, the community education initiative he is building through Creative Eye Studios to teach young people AI literacy, critical thinking and digital creativity. The AI produced a 23-page master curriculum, giving him substantial material to review and shape around the people he will actually teach.
He had the AI configure his smart TV through its debug connection to use a filtered DNS service. Ads on the TV stopped, which he jokes is either a great morning or the start of a robot uprising.
A Magic player built a collection manager with AI and needed every card sorted by what it does in a deck, not by the words on it. The AI ran his whole collection, 2,527 different cards, through a classifier that gave each card a fit score for 61 roles like ramp and card advantage. It took minutes and cost about 22 cents, and the AI wrote the method into a reusable skill for next time.
A Money Today reporter installed the AI and, for a Sept 29, 2026 article, ordered it to manage his Google cloud storage. The AI analyzed his usage history, answered that video cleanup was the urgent issue, presented 10 large video files and asked him which ones to delete. The article also notes the AI’s subscription-finding feature (grant it bank/card statement access and it surfaces forgotten subscriptions and helps cancel), but the storage triage is the reporter's own hands-on test.
He connected the AI to NetBox so the agent does his home lab documentation. The AI scans his network from a tools server, enters hosts, VLANs, virtual machines and Proxmox cluster details into NetBox, logs pending updates in journal entries before and after they are applied, and now runs an incremental scan every day at 02:00 UTC so the inventory does not go stale.
AI engineer Sajal Sharma built an AI on Telegram that tracks his tasks and notes and handles scheduled work. On camera he asked for a project overview, checked progress toward a reading goal, and had the assistant search the web for a book series and add the books it found to his reading list.
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.