The AI talked him through fixing a server that crashed every few weeks, in about an hour
The AI, proxying commands through him, diagnosed and fixed in about an hour a box that OOMed and needed rebooting every few weeks.
A random mix from the whole library. Shuffle for a new set.
The AI, proxying commands through him, diagnosed and fixed in about an hour a box that OOMed and needed rebooting every few weeks.
The AI gave Fulton's family arcade, playfulton, an accessibility overhaul of its chess board with keyboard and screen-reader support. The work was tested locally, pushed and deployed to the live site.
An agent one-shotted an Unreal Engine plugin from a 3k-line plan.
He gave the AI a profile on his Synology NAS, linked over Tailscale by SSH, with one hard rule: never delete anything without his clear say so. The AI went through his large MP3 collection folder by folder. It renamed files, removed duplicates, found album art, fixed tags, and moved songs that were filed wrong, like songs in an 80s folder that were not from the 80s. It also relinked a playlist after he had moved all of its tracks into other folders.
He had given up on a years old problem getting Roon to play music on his PC. He put the problem to the AI, which read the log files, ran a test script, and fixed it in a few minutes.
A man says the AI finished a hardware project he had started, working across three areas at once. The AI finished the firmware in Rust, changed some board parts and finalised the board design, sourced the parts that do not come with the board, and wrote all the documentation for the installer, and he judges the result good enough.
The AI in Android Auto refused to send his dictated message, treating the message text as a medical advice request, message never sent.
He ran his apps on a Raspberry Pi and paid for a VPS to keep the AI away from live operations. The AI worked out the spec for a PC that could run two virtual machines, researched eBay and found a good deal, and he followed its instructions, mostly by pasting commands on his phone, to set up both machines and move everything over.
Runs a daily scheduled Antigravity task that ADB-connects to his phone over Tailscale, dumps all logs and analyses them for misbehaving apps, producing a morning report he then uses to ask the AI to fix issues.
Had a frontier LLM decode an old Director game and port it to run in a web browser in about 2 hours, reusing existing OSS libraries.
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.