A random mix from the whole library. Shuffle for a new set.
A fellow parent pointed him to the Tilt Parenting podcast, which has more than 500 episodes. He told his second brain in an AI app to search the archive for episodes relevant to his situation, and it picked 29 episodes, saved their transcripts, and wrote him a brief on what each one could teach him.
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.
A parent says the AI goes through his kids' Google Classroom and tracks their homework in every class: due dates, missing work and scores. It then sends the kids a daily email on how they are doing, with a daily plan to stay on top of their work.
Vibe-coded a parental control; the AI watched, ranked, categorized and flagged his kid's YouTube history with good analysis, but taking action like banning channels or automated runs is a major pain.
Used LLMs to build several apps and sites for his family and kids in evenings instead of months, including a shared drawing canvas his kids love.
He let his daughter chat out loud with AI to make a game, and the AI gave her small kid sized coding lessons along the way. They put the game on his Raspberry Pi box with an Arduino joystick, so she can play it whenever she wants.
A teacher and dad rebuilt his classroom card-review game into 'Bad Mascots', a mascot-horror study game for his 2nd-grade son: The AI planned the conversion, wrote the image prompts and built and tested the game file, questions come from a photo of the boy's weekly vocabulary sheet, and progress saves to its own Google Sheet. Weekly updates take about 10 minutes from photo to approved questions, and the game is live and playable online.
The AI whipped up an animated demo to teach his 5 year old why the sky is not black, a better explanation than existing ones he found.
Simmons asked László to check in with his father once a week about the business sale and report back, judging his father more likely to talk it through with an AI checking in than to raise it with his son. The article records the arrangement being set up, not its later results.
He built a tool that reads the emails from his kid school and activities, swimming, music classes and scouts. It adds everything to their shared calendar, sends a WhatsApp message the day before reminding them what to pack in his school bag, and tells them what is on the lunch menu so they do not cook the same thing for dinner. He says the morning scramble is gone and the head space is back.
Amar Ghose, the non-technical CEO of ZenMaid, had the AI interview him with about 20 questions, draft product, technical and design documents, then build 'Fran's Peak' — a live app where his wife logs her 100-day painting challenge, watches her streak climb a visual mountain and shares progress with followers. It took roughly 7–8 hours on a Saturday, went live Sunday morning, and she uses it every day.
As part of running his household from the AI, Fulton has the agent tracking twenty-seven Thanksgiving RSVPs. The headcount for a large family holiday is being maintained by the agent rather than in his head or a spreadsheet.
The app came out of his own frustrations managing two kids with his wife. Tiny Tummies is a UK baby weaning log that also tracks food, medication and sickness, and it has no subscription. It took about a month to build and three weeks to get approved, and a series of updates and an in app purchase are going through approval now. He built it on the AI Pro plan.
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.
On a Tuesday, Fulton's the AI warned him that Sunday would open near freezing, connecting a forecast swing to his calendar without being asked. The practical point was jackets for the children before their Sunday activity.
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.
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.
Rosey adds calendar events and reads credit card balances for budgeting.
Host Alex reported that his AI designed and ordered the wristbands for the show's AI Engineer sauna meetup. The design-to-purchase loop was completed by the agent alongside his other travel tasks.
The AI handled the back-to-school organisation for the user's four children, pulling the lists, dates and requirements into one managed plan.
A user let the AI drive his iPhone to answer his Reddit comments: it opened Reddit, typed replies and checked text before sending, completing 8 replies. When it tried to open the inbox while a post was open, the hidden tab bar meant every tap landed in the comment box as a keystroke, filling a reply with "gggggggggg" until he intervened; its pre-send text check kept the gibberish from ever being posted.
One poster set up a single AI agent on WhatsApp for their three-person family, with each member using it for different tasks and the agent surfacing relevant information proactively before being asked. The whole setup runs on one $200/month AI subscription.
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.
A father of a 5-year-old used AI to generate a fresh bedtime story every night, sometimes with audio mode reading aloud - until his daughter started asking for 'that story we listened to before' and the favorites were buried across scattered chat threads. He built a small website, FifiStory, as a persistent shelf: the stories live in one collection that can be read or listened to, and he keeps adding to it as they use it. He made it free and public, no account or paywall.
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 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.
One-shot a SketchUp plugin in Ruby, a language he does not know, for his wife, enabling easy 2D export from SketchUp.
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.
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.
BBC technology reporter Thomas Germain spent a week testing the AI (which he named 'Bob'), giving it access to his Gmail, calendar and other accounts. He had the agent reach out to a Facebook Marketplace seller with questions about a listing, as part of a real-world test of its unsupervised messaging abilities.
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.