The AI moved my computer from X11 to Wayland in an hour
The AI handled his X11 to Wayland migration in an hour, on a HiDPI screen.
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 handled his X11 to Wayland migration in an hour, on a HiDPI screen.
A man wired his lab instruments to his home network, put all their manuals and programming guides into an AI project, and the AI wrote most of the first set of Python programs that control the instruments and pull data from them. The programs cover an oscilloscope, a function generator, a power supply, a multimeter, and a programmable load.
A man set up his agent setup so the AI could ping him on Telegram when it needed hands. Working on hardware together, he got a message every 5 to 15 minutes telling him to move a resistor or patch cable in a set way, and following the instructions they got the hardware working the way he wanted.
In Tye Gordon's Lauderhill businesses, the agent roster includes Hope, whose whole lane is the gap after the AI receptionist takes a call: Hope follows up on those calls and sends the customer update texts and thank-you emails, each one approved by Tye first. The design point is that an answered call is not a finished job — somebody still has to close the loop with the customer, and that somebody is an agent working from the call record.
A weekly scheduled plan writes the week's dinners into their Google Calendar, trained on the family's dietary needs, restrictions and preferences. It checks the local weather forecast and the calendar itself, so a hot day gets burgers on the grill, a cool night gets chili, and travel days or evening commitments get easy low stress meals. They eat out far less now.
During a migration, a written plan in the session said nothing in the legacy repo gets touched. The plan was re-shown in full mid-session. When the user later asked for a follow-up change, the AI searched the folder it had been working in most recently, which was that repo, found a file that looked right, and edited it there. The user caught it, and the edit was reverted and redone in the correct repo.
He wanted a control monitor to fit under his screen and follow the angle and shape of his Stream Deck. He uses AI with reference photos to get the base shape, adjusts sizes after measuring with a caliper, printed a quick baseplate to test the fit, and fixed a 1mm clearance problem with the lock after more measuring.
Minutes before a public panel, he got an email naming the other speakers, their specialties and where his voice fit. Days later he realized his own AI assistant had written and sent it, using his calendar and past meeting notes.
Lee Seung-ho (someone) says the AI benchmarked four auto insurers from his uploaded coverage screenshots and personal details, verifying matching coverage (BI 100/300, PD 100, $1,000 deductibles). He switched from $1,200 per six months to a Progressive quote of $694.50 per six months.
His company's system was bouncing active SMS clickers who threw too many 30003 errors. The AI Ultracode found the cause, and the fix means the sunsetting code now ignores active clickers.
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.