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 set up his Stream Deck from one HTML template that draws all 70 keys. Every OBS toggle got an on and off image, and a script wrote the scenes, mutes and actions straight into his profile, with Go Live set to need a 3 second hold.
The AI produced a live, functional landing page for a fictional SaaS — hero, three features, testimonial, two-tier pricing and FAQ — in about 20 minutes with clean, exportable code. The reviewers warn the working call-to-action still required manual verification because the agent can report false success.
He sketched out how he wanted image collages to lay out and prompted the AI to build a simple tool with sliders for overlap and offset. He used it to make the image stacks for his project, kept improving it, and released Stacks V2 in October 2026 for anyone to try.
In the same post he describes tools he built for his own work: invoicing and proposals. Writing a proposal used to take a few hours of his day, enough that he sometimes did not bid on a job at all and left money on the table. Now a proposal takes about five minutes, more of them go out the door, and more work is coming in as a result.
Worked weeks on an AI-generated, human-guided proof of Hilbert-Smith with a complete 100k LOC Lean4 formalization, rushed out after OpenAI's release.
A man at a company that paid $300,000 a year for Looker for ten years says one engineer, working part time for a couple of months with AI, built a home grown replacement for their dashboards. The core idea checked out in a couple of weeks, and the company told Looker it will not renew.
Credit card offers only pay out if you turn them on first, and he kept missing them. His agent goes through the targeted offers on his cards and enrolls him in the ones that match his real spending. He calls it free money he was leaving on the table.
After a short session troubleshooting an iOS widget, about $1.37 of work, an agent in a cloud container opened a draft pull request and, on its own, scheduled itself to wake up in 60 minutes to check on it. Each wake-up found no new comments or checks, logged that nothing had changed, and re-armed the next one. It repeated 89 times across 9.5 days with nobody present. Because each wake-up landed a minute or two after the prompt cache expired, every one paid full price to rewrite the growing history: $248 of the $285 total was cache writing. His entire $250 credit balance drained to zero.
His wife was left a massive box of coins by her late grandfather many years ago, and they had never catalogued them. He built an app that scans a coin and records its year, type, series and what it is made of, then checks websites for an approximate value and adds it to the collection. It can filter views, track where each coin is physically stored, and show graphs of the total value and the breakdown by coin type. There is also a virtual coin book he can flip through, using the photos he captured while scanning each coin in. For now the app is just for him.
He runs a one person business that makes electronics for hobbyists and his customers run several of his devices at once. The AI built a stand alone program that plots their measurements together, the job he had been doing in Matlab, and worked out on its own how data from different products fits together and how to line it up in time.
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.