A random mix from the whole library. Shuffle for a new set.
Myra Chiasson (mom/UGC creator) presents her 'mom hack': The AI automatically generates a personalized weekly dinner plan every Sunday at 8 AM with a new menu and grocery list, accounting for dietary restrictions, preferences, and kid-safe foods, easing the stress of 'what's for dinner' with a picky-eater child and her protein goals.
After a corruption incident cost him data, the AI recovered 4 unpushed commits to atcr.io. Those commits were among the things he most wanted back.
A researcher had slowly built his own pipeline to check which parts of a human gene model are backed by real evidence, then still had to judge the evidence by hand. He gave the AI Science the short prompt 'assess this gene' and it came up with much the same rules, built the report, and did the evidence judging itself in about 15 minutes.
The writer's mother forwarded him an email asking if it was a scam, and he thought it was. His dot corrected him: the suspicious-looking email@contact.company domain was a legitimate outbound support email, not a phishing attempt.
Fulton's the AI flagged an Economist interview with Andrew Ng that matched his interests, wrote him a primer before it started, and placed it on both his personal and work calendars. He had not asked it to connect those dots.
Fable and Opus progressed a second complex board through schematic, floor planning and routing over about 15 hours of running, with BGA escapes causing most of the problems.
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.
He says he took pictures of his Lego sets and asked the AI to download the manuals and organize them into folders in his iCloud Drive. It worked great.
Recompiling the Lion King SNES game with an agent.
He deleted his daughters photos from an SD card, and every Mac recovery tool he found would scan for free but charged $89 a year or $130 to $200 to actually save anything. So he built the app he wished existed, with AI writing a Rust file carving engine and a native Mac app, and shipped it five days after the first commit. It is now a paid app of its own, $29 once, no subscription.
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.