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).
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.
The user built EVA, a family assistant on the AI, which finds what matters in school email, tracks deadlines, updates the family calendar, and answers questions about what is coming up.
His AI setup generates maths problems matched to each son's school level, states the reward up front (0.50 dollars per finished set), and the boys complete the sets to earn it. He lists it first among the things his agent does for the family.
With three kids at three different schools, Kranda gets a ParentSquare digest for each. Every weekday at 8:53am the AI opens every digest, reads the full text, and sends him only what matters for his kids; on days when nothing is important, he hears nothing at all.
A mom of four school age kids started using AI last week and it already watches her school email, the grades site, Google Classroom and the ClassDojo app. It adds events and tests to the family calendar, sends a weekly report on missing assignments, reminded her about a field trip permission slip today, and drafts the email when a kid is out sick.
The AI built his daughter's NFC card music system in about 2 hours of iteration, working seamlessly on card place and remove using depth camera detection.