The AI updated his system packages to named versions and checked them for holes
The AI updated his system packages, including Node, Python, uv, OpenSSL and certifi to named new versions, checked a checksum, and checked recent vulnerabilities.
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.
The AI updated his system packages, including Node, Python, uv, OpenSSL and certifi to named new versions, checked a checksum, and checked recent vulnerabilities.
A small-business owner who had stopped paying a leased accountant reported on X (via WhatAgentsCanDo, Oct 20) that the AI reconciled 10 months of bank statements in one evening, matched every client payment to its invoice, and closed the books to $0 uncategorized. It then set up a separate bookkeeper bot to keep the books current going forward.
The maker of a small game viewer tool had the AI play the game with scripted commands and write playtest reports. One report, from a manifest file the game loaded, documented a crash on exit, a bad default window size, dead inputs, and several rendering bugs.
Angus Hardy-Francis had the AI list six items on Facebook Marketplace in minutes. The agent priced from photos and created the listings.
For four months, the AI has handled the faxes that come into his company. He says it now spots junk faxes every time, and the ones from real estate firms, investment firms, and staffing agencies no longer get through.
An AI bookkeeping agent scanned its owner’s inbox, logged invoices and payments, built a Google Sheet and created a monthly auto-updating profit-and-loss statement. The books now maintain themselves from the mail.
Weekly Chezmoi drift report across all his machines, including what he changed, set up in 30 minutes.
An experienced traveller who hates planning had the AI plan his recent trip to China and book everything — flights, hotels, tickets and attractions — leaving him only the final pay button to click. Before travelling he ran the finished itinerary past a fresh session told to find errors, and it caught one: he was scheduled to be at the wrong train station.
She scans new papers as a science journalist. Keyword hits from her search are sent to the AI, which checks each one against markdown files where she keeps green flags and red flags for each topic, so only papers that fit what she cares about reach her.
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.
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.