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 reviewer set up a scheduled daily AI-news briefing in an AI app as a two-host podcast saved in the app's Library, with an RSS feed for following in a podcast app. It worked, though the newest episode shown was dated two days earlier, flagging a freshness caveat on daily generation.
Jen Lehner says she asked Instinct to handle returning a Ralph Lauren puffer coat. The agent managed the entire return process and sent her the required barcode.
He set a post up in an AI app and his small tool crier sent it at the set time to Mastodon, Bluesky and Nectvia. Nothing was running on his side when it went out.
A business ran a seven-agent the AI support desk that cleared 2,384 tickets with a 91% resolve rate for $11.20 in usage, with billing questions and furious customers fenced off and flagged for a human. The angry and money-touching tickets never reached the bots’ send button.
A man wanted to mod a Casio watch with a custom crystal and screen that had not been done before, and needed a 3D model of the crystal for prototyping. The AI got the specs mostly right and built the model inside a custom 3D program the AI had made for him, and the project was done in a few days instead of the months it would have taken before.
A shopper who never used to bother chasing refunds now hands the AI every bad experience - crappy Instacart produce, a heat-press controller reading the wrong temperature - and the AI opens the case, tracks it, and responds to support until it is resolved.
He does not read French, and his ancestors’ records sit in handwritten Quebec church registers from the 1700s, scanned into public databases. Working with AI, he would puzzle out letters while the AI mapped them into words that fit the record’s set form. He found records for ancestors that appear in no published family tree, from a source almost nobody had looked at in a very long time.
The WisePPC team sells on Amazon under its own brands. Every morning an AI reads the account health check and the change history in WisePPC and sends a short Telegram message: which campaigns hit their budget early, which advertised product went out of stock, and which bids changed the night before. It then queues proposed bid cuts and pauses, with its reasons, for a person to approve or decline. Nothing goes to Amazon without that approval.
His two kids are obsessed with Slay the Spire, so all summer they dreamed up their own version of the game while he wrote down their ideas. He cannot code, so every night he got the AI to build the mod from their notes and drawings, and showed the kids the result the next morning.
He fed the AI two copies of his resume, some parameters, and connections to more job sites than he has the energy to check. Every morning the AI checks them all and reports new postings, how well they fit his resume, and any gaps.
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.