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.
He had a PDF of scanned letters from his dad's Navy years, the paper letters long misplaced, and had put the project off for decades. He asked the AI to turn the PDF into an interactive timeline, and after about 10 minutes of prompting it was live online.
A man used AI to plan a weekend trip to Vegas with elderly family, shortlisting dining and events around dietary restrictions. The AI also built a web app dashboard for the trip and handled the payment splitting: he told it what each person spent for the group, it kept running totals split three ways, and when a Venmo email arrived saying someone had sent money, it updated the balance sheet by itself.
A user's notes MCP was down - his own mistake - when his agent decided finishing the request mattered more: it researched the Joplin API, wrote, refactored, and debugged a 400-plus-line Python tool across five files, then used it to read his notes and write its weekly update markdown into Joplin as planned.
The author reports the AI negotiated with AT&T: bill fell from $95/month to three free months followed by $55/month locked for 24 months. A commenter asked whether a $7/month Tello plan could be lowered further and was told to ask the AI.
GPT helped him fix his Bitcoin miner. He also created his own improved, branded user interface and firmware for it.
He needed to know if a library near him had outlets. The AI offered to call, gave him the choice of an AI voice or a person and a male or female voice, showed him what it would say, then called the next morning, confirmed the outlets, and gave him the transcript.
The AI autonomously ran Quake demo playbacks, took pixel-diff snapshots, compiled a native build and patched the game for determinism, leaving a solid regression test set.
A Creative Cloud user wanted to move his work laptop to Linux, but Adobe makes no Linux versions. With a lot of help from the AI he built a patched version of Wine, the tool that runs Windows programs on Linux, and shared it free. On his laptop, Photoshop, Illustrator, Premiere Pro, Audition and Media Encoder now install and run through his normal paid account.
An agent researched available tools, built an eval set, and tested tools against each other to pick the set used for his singing app, cutting build time from months or a year to about 10 days.
Asana says Piper, its Agentforce agent, drives four times the sales conversation volume and took about 45 days to deploy, per Salesforce's release.
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.