Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
Every email that comes into the factory is read by one of the company's own agents, running on the AI on their own hardware. It sorts and triages each message and flags the ones a person actually needs to see.
Points-and-miles creator Rachel Tyers says her AI caught a flight booking error that could have wrecked her week, flagging it before she noticed. The bot drafted the fix for her approval; the caption never says what the booking error actually was.
Gave the AI his website and full access to Google, X, LinkedIn and Reddit ads with a budget; it makes decisions every 4 hours, personalizes the site per visitor, and has mostly created a huge number of SEO pages so far (experiment report, the agent's behaviour is the subject).
The AI scanned his network traffic via router SSH access and blocked all LG TV tracking and ad domains on the router block list.
Polish marketing freelancer Damian Nowaczek runs AI agents on his own server: every day at 06:00 one pulls data from his Google Ads accounts, compares performance and sends a report with conclusions to the company chat, so he never opens ad dashboards to spot a campaign burning budget. A second agent scans new public tenders daily and picks the marketing-related ones.
The AI set up the whole arr stack for him in an hour on an older NUC under Proxmox.
For the Group step, the AI said its connection's group tools were read-only, so Diana gave it the Group link and signed in to Facebook through its browser, watching each step. The post published; she checked it live on Facebook.
A man built LatestArr with help from the AI, his first real app. The self hosted tool collects what is new across Plex, Jellyfin, Emby and his book, audiobook and game libraries and emails a clean digest, and he shared it as open source and asked for testers.
12 hours with AI Fable 5.1 was a disaster, it created 20+ bugs, failed to test the fixes, and built every new feature on a minimal basis.
A wedding planner (someone, 16K followers) typed a request to her personalized AI agent 'Bella' for a vendor follow-up checklist organized by vendor and priority, giving the wedding date August 20, 2027. The AI generated a comprehensive spreadsheet titled 'Wedding Vendor Checklist' with tabs: 'Setup & Legend,' a 140-task 'Vendor Checklist' across 17 vendor categories (Venue, Catering & Bar, Florist, Photography), a 'Vendor Dashboard' summarizing task status, and a 'Countdown Plan' with
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.