A random mix from the whole library. Shuffle for a new set.
Mom of two picky eaters (ages 5 and 2.5) asked her agent 'Daisy' for a week of meals. The AI produced the plan and compared prices at Aldi vs ShopRite (about $5.47 cheaper at Aldi); she filmed the actual shopping trip and the cooking.
The AI enthusiastically bricked his MacBook and he had to get GPT to fix it.
Noah connected Spotify to his AI and asked for a playlist built from his already-liked songs but limited to tracks he has never actually listened to, as a way to surface new music from his own taste history. The AI can also just play his liked songs on his phone or computer on request.
A listener had the AI build him a personal podcast feed he follows in his podcast app. Each day it looks for one episode he would actually enjoy, based on his taste and recent talks, and skips the day if nothing is good enough. It downloads the pick, writes out the words locally, finds the sponsor blocks and cuts them out, checks the joins, and adds the episode to his private feed with a note on why it was picked.
Tell the AI to set up an app on his server and it does it all and leaves a documentation note in his Obsidian vault; setup effort near zero.
The AI invented a music OCR approach and turned a sheet music screenshot into a WAV file.
Liang Gou wrote no code himself: he directed the AI to design and build a complete grading app for his wife, a high school math teacher grading 100+ papers a week at 3 to 5 hours per test. The rubric engine reconstructs a rubric from a single graded example, its eval bank comes from real AP Calculus AB free-response exams, two models cross-check grades, and the agent tested the app itself in a browser before deployment.
Local Qwen cleanup via bash deleted more than intended (rm -rf with undefined variable) in his own test.
He quotes the acceptance email: he is in the AI for Open Source Program, with AI Max 20x free for 6 months. The application itself was sent by OpenAI's Dots on his behalf.
He asked the AI to move a long the AI conversation into a coding project. The AI picked a Safari extension he had written himself, recovered 1,651 messages and 97 artifacts, and checked the files.
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.