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.
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.
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.
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.
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.
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.
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.
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.
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.
Her wedding site on Joy worked until the platform disabled SSO and she could no longer edit it - mid-planning. She rebuilt the whole thing herself with AI from her own requirements list: password-protected bridal-party and admin sections and direct RSVPs, replacing the platform entirely.
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 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.
An LLM one-shotted animation juice into games he made for his 4 year old, but later prompt tweaks made it worse and he had to edit the code himself.
School news for his two kids comes through six Facebook groups as well as email. The AI watches all of them, asks him which events he wants to track, spots clashes like a field trip on the same day as a dentist appointment, and keeps his calendar updated, and it also pulls the Scouts dates together and, before a camping weekend at two different spots, told him the weather at each one and what the boys should pack to stay warm.
A new dad on paternity leave built a full baby tracker with AI in a week, then opened it to other parents as a cheaper SaaS after finding existing trackers obscenely priced. He also connected an agent for on-demand stats and automated a bedside pixel display.
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 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.
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 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.
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.