A Yahoo Finance 'IN THE LOOP' segment on Facebook highlighted a tweet from Ejaaz (someone): after a 7-hour flight delay, he asked the AI to file for compensation, and within 5 minutes he had a $250 credit in his Delta account and a rebooked flight — with no prior context given.
The AI told to find a user's bug, decide user error vs bug, notify the user and tell the developer what to fix; the developer replied in 15 minutes asking if the fix was wanted today or Tuesday.
His home network had eight VLANs and no firewall rules between them, scoring 70 out of 100 on an audit with segmentation at 0 of 25. The AI, working through a UniFi MCP server, designed a default deny zone setup, previewed each rule, and wrote it only after he confirmed. Three audit runs took the score to 93, though one change briefly broke DNS on a live VLAN before it was rolled back.
When a restaurant booking of the writer's was canceled, his dot found him alternative tables on its own initiative, part of a few days of proactive schedule and logistics management after he connected it to his Google account.
An ‘Invoice Terminator’ the AI desk closes its owner’s month every month, pinging him only for 2FA and a final yes; on one run it caught a $64 Cursor invoice that would otherwise have escaped unpaid and unnoticed. The monthly close runs itself, with the human as a checkpoint, not a worker.
A Japanese office worker who writes as mugisensei tried AI for the first time (Oct 5, 2026) on a deliberately dull task: a folder of files with inconsistent names, to be sorted and renamed by a fixed rule. Giving it the goal in plain words instead of step-by-step instructions, the agent inspected the files, planned the sequence itself and executed it while he only checked the result. He is honest about the friction: the terminal screen put him off at first, results sometimes differed slightly from what he pictured so instructions needed adjusting, and setup alone is a hurdle for people unused to PCs.
This only partly worked. Worth knowing before you try it.
He spent about four months of spare time building Switchback, a cozy hiking simulator like old park management games, with AI writing the code and judging the look of the assets. It ingests real map heights to build its trails, and has its own water, wind and day and night systems. He launched it on iPhone and iPad yesterday and people are playing it.