A random mix from the whole library. Shuffle for a new set.
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.
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.
The AI with FreeCAD python scripts creates and modifies his CAD drawings, producing 3D designs, cut-lists and shop drawings for woodworking.
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 an email with 20 dates and times in a clean format and asked the AI to make basic calendar events from them. The AI could not do it at all.
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.
He wanted his AI character AYN to move and talk like a VTuber. The AI drew the art, Tripo made the 3D shapes, and the AI drove Blender by script to build, fix and export the model, while he only looked at the renders and said what looked wrong. The finished model has 16 expressions and lip sync that follows the expression.
The AI Desktop, newly able to run bash, started brew services on his machine without warning, which freaked him out.
The AI agy hooked itself to Discord, set up and troubleshoots SSH servers on his home network, commands it remotely.
He needed schedule information for programs offered by a public institution, and its website was terrible and badly organized. The AI made a new website that organized all the information into a filterable table that runs on his phone.
A game maker gave the AI the 2019 forum thread about his browser shooter and the game's code, and they worked through feedback he had never acted on. The game now restores full health each round, shows a scoreboard on the game over screen, spawns enemies at a safe distance, and fixes an aiming bug. The biggest change is one shared enemy population on a server, so every round anyone plays moves the evolution forward.
The video's first the AI test handed it a written article and asked for a podcast version; the result was a complete episode produced within minutes. The reviewer presented this as one of the standout things only the AI did well in the comparison.
He used AI to move his hosting service. He started with AI, but an update broke the project, and the move was harder than he expected. With the AI's help he got through it, with a little left to finish.
Opens the AI and says this is bothering me for Linux desktop rough edges; it fixes them in the background, documents changes, and pushes his configs and dotfiles to a private git repo.
The AI helped clean up his dotfiles and add automation and tests, used to switch devices and identities.
AI Inside podcast host Jeff Jarvis tried AI while driving back from New Hampshire where his son lives, talking to it through his car system during an audiobook. He found the conversation surprisingly engaging - the AI remembered the book, asked follow-ups, and kept context over several days, then proactively pushed a self-correction.
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.