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.
For his father's laser printer repair company, László researched the business and built a website holding the full sale plan — what transfers, deal and price, process and first 30 days. It also produced a spreadsheet of 136 potential buyers, each with a fit score.
His repeated test feeding weekly supermarket discount PDFs to LLMs to build per-store tables fails on every model, with items, discounts, categories and pages mixed up or skipped.
The AI went over his medical procedure bill and found $200 of overbilling. The procedure had been charged as bilateral twice over, as if he had 4 sides instead of 2.
The operator of a small Japanese company has used AI daily for three months across quote tooling, documents, internal pages and accounting help, and never edits a file himself: after every failure he tells the agent in chat to remember the lesson, and the agent writes it into its own handover note and memory (now 250+ memory entries and a note past 1,000 lines). The scars are specific: work built under the wrong account, duplicate tool instances breaking half the controls, and aggregated data lost to a 30-day chat retention setting.
Asked a chatbot to make a browser extension that adds the Google Maps link back to search results; uses it almost every day.
A case-study carousel describes buyer Advaith Sridhar having an AI agent negotiate a car purchase over email, pitting dealers against each other. It saved $2,102 off sticker — a premium model at a base-car price — with no in-person haggling.
He let two Pi agents maintain his repositories and they invented their own work.
He built a Homebridge plugin with AI that lets him turn his server on and off from Apple HomeKit for free. He says he does not know the first thing about coding.
To mark the start of the semester, he asked the AI to build a macOS widget. It counts down how many weeks are left until the last class, and how many of those weeks are real teaching weeks.
Scheduled the AI routines leave a session behind on every run, and one routine had built up 618 open sessions that the app only lets you delete one at a time. A cleanup skill plans the job, keeping the newest sessions and any where the owner typed a reply, then has the AI delete through the app’s own session tool, 25 per call, each batch behind an approval card.
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.