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.
Kranda had followed more than 5,000 accounts on X over the years. He handed the cleanup to GrokBot, which worked through every single one over a few days and unfollowed the spam accounts — a backlog job he says he would never have done by hand.
His kid’s school run means two trains or a bus, with the right choice spread across three apps. He built an Android app with AI that pulls live train times, wait times, disruptions and traffic into one screen and recommends which way to go.
Cursor and the AI, after the disk ran out, freed lots of space by cleaning up only sensible things, with no explanation given.
Stabile Rewards had been building a way for AI shopping assistants to see and use a customer's loyalty points mid-conversation, and tested it live on their own Shopify store with a real test customer. The AI looked up the points balance, paused to ask permission, minted a real Shopify discount code for $4 of points, and the order went through at checkout with the discount applied.
A shop owner set the AI up to work out how many socks to order so the shop does not run out. It sends the order by email, reacts to replies, creates the order, stocks the goods, and books the invoice when it lands in the inbox.
Worried by the day's PHP security news, he told the AI before bed to look into it and report in the morning. The AI read up on the flaw, checked what his hosting provider was saying, then logged into his WordPress blogs and checked them herself instead of taking the provider's word for it, with a backup already staged and ready in case a fix was needed.
Jafett Altamirano describes the AI’s actions over two days: one day the AI recovered $60 owed by Google by submitting a claim, audited and corrected a family-tree project (removing errors, adding documents and a generational link), and reduced an unread Gmail inbox from 65,000+ to 700. The author emphasizes all of this was free.
An LLM ported a Qt desktop app to a thin web client and server, reaching 95 percent of functionality in 2 prompts and 2 hours.
The AI whipped up an animated demo to teach his 5 year old why the sky is not black, a better explanation than existing ones he found.
She keeps an AI side chat called Wish List. Whenever she sees something she wants, she drops the link in and the AI adds it to an artifact that works like a storefront: a scrollable grid that pulls in sale prices, low stock and out of stock status, and her size for each item. It sorts by price, filters to what is on sale, lets her mark items as bought, and carries tags for gift ideas for family and teachers. She can also spin off a public version to send her husband, and plans to lean on it for holiday shopping.
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.