A random mix from the whole library. Shuffle for a new set.
A parent had the AI write firmware that turns his children's unsupported second-generation Yoto players into Audiobookshelf clients. The AI handled flashing, log reading, and fixes while he did the physical button presses, and the firmware is public on GitHub.
Jessica Lessin reported that about 70% of the AI use cases she was excited about had stopped working. Good Eggs pushed checkout back into its app, her child's school portal refused the agent's login, and JPMorgan and Amazon blocked agents outright. Segment starts at 15:16.
A creator had the AI plan his real Christmas party for 16 guests from a single prompt: it filled a Shop cart with Retro Candy Christmas decorations under a $75 budget, designed the invitation in Canva, planned the menu and filled an Instacart cart at Aldi within $250, built a Spotify playlist, and produced an 11-page printable host guide. He reviewed and paid for the carts himself; the AI never checked out.
In the same roundup, Jason Zhang listed a bonus feature: sending messages to friends via connected Messenger and Instagram accounts.
Anthropic's Project Swap sent 201 employees' the AI-powered agents onto a digital trading floor to pitch, haggle and strike book-swap deals. Agent preference rankings matched their owners' on 61 percent of book pairs, and staff ended up with roughly their fifth choice of ten; most of the shortfall came from misread preferences, not bad bargaining.
Eleanor Konik writes that she hates requesting books through the county library website, so she told the AI to find books about chess aimed at a bright 6-year-old; the AI picked titles and requested them using her library account. A few days later the county emailed that the books were available, and she picked them up (her post also shares an AI invite code).
He connected the AI to iMessage on his Mac with a BlueBubbles server, polling about every 5 seconds and waking only for allowlisted senders and chats. When he moved dinner with his wife by 30 minutes in his calendar, the AI messaged the family chat on its own and told his wife about the change.
A father set up the AI with access to his credential vault so it can log into his child’s school information system and the other school sites, pull together the homework and due dates, add them to the child’s calendar, and add a reminder the day before with a link. He modelled the workflow out formally and set it running daily.
His son is in half a dozen orchestras and bands, plus cadets and Explorers and Scouts, and his daughter is in reception class at a different school. Both schools send everything by email, the important details are often buried inside one of several PDF and Word attachments, and he kept missing things. Over the years the schools had collected three different email addresses for him, which made it worse. He got the AI to help him build a system that runs on a schedule in GitHub Actions, reads the school emails and drops the events into a shared Google Calendar. It costs him about $2 a month in API credits, which he calls much cheaper than a missed guitar lesson.
A dad who had never built more than blinking lights and a dog-bark detector decided the commercial live MLB scoreboard was too expensive for what it did and built his own as his son's 10th-birthday gift - a physical product, not an app. Over months of nights and weekends with AI/the AI and the AI he went from concept to web preview to a parts list and a 3D-printed case screwed into the back; the finished board shows live MLB and NFL scores, pulls his son's own baseball games and practice schedule from GameChanger, runs arcade games, and has a quiet mode that shuts it down after bedtime.
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.