Andrew plays casual online chess against a friend he is dead even with, and was about to buy a Chess.com membership for unlimited game reviews. Instead he gave the AI his Chess.com account; it automatically pulls and reviews his game log every day, and the premium upsell lost its reason to exist.
A man speaks voice notes into a smart ring during the day, and the AI sorts each note and sends it to the right place: memos and to-dos go to kintone, and answers come back on Slack and are read aloud. Every morning at 6 it sends him a summary of the day before, with the weather, the town garbage day, and what to take with him.
Jeston Lu built an AI that scrapes his saved X posts every six hours and auto-categorises them into a Notion database so the archive stays searchable, with screenshots of the database shared in his post. The build drew strong engagement (1.6k+ likes) as a fix for bookmarks piling up and being forgotten.
Creator Wendell Yu says the AI read his 17 years of Facebook posts and wrote a profile report of his life from them. The segment is the first of five first-hand cases in the video.
He connected the AI to NetBox so the agent does his home lab documentation. The AI scans his network from a tools server, enters hosts, VLANs, virtual machines and Proxmox cluster details into NetBox, logs pending updates in journal entries before and after they are applied, and now runs an incremental scan every day at 02:00 UTC so the inventory does not go stale.
His Nostr relay moved from a single container to a Kubernetes cluster, redeployed by the AI with an uptime monitoring setup watching it. He reports the relay is faster and the migration went smoothly.
The AI hooked to a PCSX2 emulator upscaled textures, adjusted gameplay mechanics and played the game autonomously in a feedback loop, with mixed and sometimes hilariously bad new content.
This only partly worked. Worth knowing before you try it.
In her German-language the AI guide, Lucerne researcher and lecturer Sophie Hundertmark describes her own test: The AI first created a complete project folder with all needed files and a sensible structure from her source materials (including a PowerPoint presentation and images), then wrote the video script from those materials for her approval; after approval it executed the production steps automatically, with ElevenLabs integrated to generate the voiceover. She added a QR code at the end herself. The full video took about an hour, with AI doing most of the work.