Eric's daughter and her friend needed lodging for a music festival in Europe during her study abroad. His Dot, Jarvis, priced four places and annotated each with whether the walk back from the shuttle has streetlights after 10 p.m. When a provider replied in French, Jarvis read it, updated the comparison and said what changed: one rental ruled out, another cheaper but with a longer, uphill, unlit walk home. Eric finished the checkout himself.
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 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.
Her son's school sends home a lot of paper: fundraisers, spirit days, costume parade rules, events like Trunk or Treat. She photographs each flyer and the AI pulls out the dates, times and details and helps her get them on her calendar. When she could not remember whether Trunk or Treat was on the calendar, she asked the AI, and it was added along with the costume parade.
The AI sent and tracked nine inquiry emails about classes for the user's children, built a reply tracking table, and monitors the threads daily for responses.
He has the AI logged into the Canvas parent app. It tracks each class and lists any missing assignments. He told it to ignore work missing for less than 3 days, so he does not get noise about things that are not due yet. The first version was all text, so he asked the AI to build a nicer dashboard, and it did. He says it is far better than using the Canvas app himself.
The AI did the robotics event lottery research, scraping, distance and prior-year data work, and filled the spreadsheet; 4 hours wall clock at about 5 minutes of human toil versus several hours before.
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).
Jonathan Fulton set the AI a careful specification for a morning inspirational email to his parents, sister, brother-in-law and wife, sent under his name at 7:00 AM. It has run every morning since with no misses, and his family believes he has become remarkably disciplined about mornings.