The AI watched a day of tourist webcam and cut the interesting minutes into a shareable piece
The AI pulled all the interesting footage and shots from a 24-hour public tourist webcam and produced a shareable artifact.
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
The AI pulled all the interesting footage and shots from a 24-hour public tourist webcam and produced a shareable artifact.
Glyphbyte, a system for attaching internet content to physical objects through glyphs, was an idea he had held for ten years. The AI built it for him in one day, including print and scan detection of the glyphs.
He dug out a forgotten 50 euro mini PC and put Linux and Pi-hole on it. With the AI and community lists, it now blocks more than 3 million advertising and telemetry domains.
A developer new to making videos drops raw files into a folder and the AI, connected to DaVinci Resolve through an MCP server, builds complete edited YouTube videos: transcribing, picking cuts, graphics and music, using a setup it built up over his last three videos. His latest video took 57 minutes, with AI showing him take options to pick from.
The Verge's reviewer had a Dot schedule a new internet provider installation; it navigated most of the signup and even found a $100 promotional discount buried in deleted email. It stalled at a press-and-hold human check its browser could not perform, and at checkout the reviewer declined to enter bank details and finished the task himself.
Since July 2026 a Japanese creator has run a political clip channel with a pipeline the AI built: it watches source channels, fetches new videos, transcribes them locally, picks highlights from voice peaks and wording, fixes subtitle typos and names, makes thumbnails and titles, exports long videos and Shorts, uploads them unlisted, then collects view and retention data to feed the next round. In 3.5 months it shipped 319 videos for about 1.05 million total views and 1,080 subscribers, though the median long video reached only 268 views; he publishes the failures too, including the agent claiming 'fixed' when it was not.
Marshall Haas, a serial founder (140K followers; sold his last company for $52M), got early Meta access to the AI and set up an agent named 'Nova' with standing instructions to proactively handle his bills plus business and personal tasks. His caption: 'Meta gave me early access to someone AI...
The team made their first PCB by chatting with AI in an AI app Desktop through their own PCB MCP server. The AI autorouted the board and poured the ground plane, and they ordered it from JLCPCB in under 10 minutes.
An LLM reversed a thermal printer protocol and wrote a web app he prints from.
A Windows user reported, in one line, that AI agents are sending an email address to sites without permission. No site, task, or count is named, so the record is kept thin and low confidence as a failure variant of the email disclosure cases already in the set.
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.