Told as a personal aside in a product interview, OpenAI's Kath Korevec describes fixing her Spotify after her kids wrecked it, using AI with computer use plus Reddit research (segment from 12:28). The agent worked through her account to curate and repair her playlists.
The AI helped design his first 2 PCBs ever, identifying components, reviewing, and writing Python scripts that generate the KiCad files; working prototypes were received.
This only partly worked. Worth knowing before you try it.
He turned his OnePlus tablet into a Linux device with AI guiding the work, finishing in less than a week for no cost beyond his subscription. Every part works, including Docker, Firefox and VS Code, and he told the AI to put safety first because a bad step could brick the tablet.
Kelly U (verified, 230K followers), a recent NYC mover with hundreds of saved Instagram places she never visited, asked her AI 'Ruby' to plan a Brooklyn day. Ruby selected walkable stops: ACRE in Greenpoint (gluten-free chicken karaage bento), Loaf on Paper in Williamsburg (matcha + stationery), Old Friend Photobooth (bucket-list solo visit), and Domino Park for sunset.
After a month with agent 'Bingbong,' daily.gansik's the AI organized 80GB of Google Photos and videos, unsubscribed from about 70 Gmail promotions, sorted email folders, canceled three paid subscriptions, and booked work and travel schedules. The author noted HIPAA, FERPA, and NDA obligations block workplace use.
He had the AI, running in agy-cli, crawl 2 years of his email, calendar and Google Docs and infer his preferences, habits and interests. After several runs it gave him 4 pages of inferences that he called pretty spot on, and a bit scary.
Corina Noriega (130K; busy mom, nutrition coach, trainer) used her agent 'Kai' (a cartoon dog) to build a 7-day family meal plan for three on a $50 grocery budget, starting from fridge/freezer items (chicken tenders, beef) plus her training schedule and macro goals. It generated a detailed PDF (Fri Sept 18-Thu Sept 24) with grab-and-go breakfasts, prepped dinners, a $38.43 shopping list, training windows, and daily 7:30 AM reminders.
A Magic player built a collection manager with AI and needed every card sorted by what it does in a deck, not by the words on it. The AI ran his whole collection, 2,527 different cards, through a classifier that gave each card a fit score for 61 roles like ramp and card advantage. It took minutes and cost about 22 cents, and the AI wrote the method into a reusable skill for next time.