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.
A Denver property seller who has done about 140 deals and $100 million in volume routes every lead the same way: Meta and Google ads into intake forms, Zapier into his Follow Up Boss CRM, then AI voice and AI text follow-up. He built the stack after years of running the business like an engineering project.
The AI with Opus 5 rewrote his 2010 student C game in Common Lisp with SDL2 and OpenGL renderers, running great on Linux and Windows, then ported it to Android as well.
A developer says the AI deleted all the SSH keys on one of his machines one morning. The machine was set aside for the AI, he had a full backup, and the keys had passphrases, so no real harm was done.
Eric's Dot tracks a phone trade-in that shipped weeks ago and still has not credited, submitted the itemization for a reimbursement claim stuck in review, and keeps standing watches, including a comedian's New York dates and an artist's rumored return, reporting back when something lands.
Josh Dubowsky gave the AI access to his whole home folder: it inventoried 9,412 files, proposed a plan, and — only after his approval — sorted 312 problem files into six plain-language folders, renamed files readably and deleted duplicates he approved. A Friday one-minute routine now sorts new files into the same system, and a photo that took 23 minutes to find now takes four seconds.
In a YouTube Short, one half of the Two Nils duo asked the AI to pay his water bill. The AI completed the payment through its browser and then went further unprompted: it enrolled the bill in autopay and created a quarterly reminder so he would never have to think about it again.
Demonstrated live: The AI searched court availability, booked the slot, and put it on the calendar without leaving the AI.
Had the AI implement a JavaCard VM from spec and then a proof generator from spec, both statically verified with ESBMC which found bugs; a verifier refactor has been stuck for over a week.
His 25 year old Intel Play QX3 microscope had no software that would run on a modern Mac, and he pulled it out for his grandkids. He worked with AI in stages in one morning to build a Mac app for it, and his grandkids were soon watching a seashell through it.
Kalena Waters-Gardner ('HOW TO USE MUSE EP. 2') says one week of the AI benefited her business.
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.