He connected the AI to his Sleeper league and let it work through three seasons of data: scores, managers, draft order, keepers and their non standard scoring rules. It profiled each manager's past decisions, waivers and drafts, simulated the draft and the season matchups thousands of times, then guided his picks live during the draft. Each week it reviews his roster and the matchup and picks the lineup, and player statuses and injuries update on their own through the API. He is 2-0 and put up the highest weekly score in any match by over 40 points.
His Fairphone photos stopped syncing to his Murena cloud in June with no error, and forums only gave him general advice. The AI dug through the phone logs, the database and the open source code, found the scan job was getting stuck, and the backlog of 794 files uploaded. His cloud use went from 13.2 GB to 14.9 GB and new photos now upload in seconds.
This only partly worked. Worth knowing before you try it.
Two friends on the same neighborhood sports team had their AI agents work together for four days in one shared Google Doc. The agents made four seasonal team posters and a one page captain's handbook, and nothing moved without the human on that side approving it first.
He built a plugin that lets his agent drive the Sway window manager directly, and used it to switch from X11 to Wayland, something he says did not work for him before. He now asks the agent things like which window is taking the most memory and has it start and stop power profiles.
He joined the AI’s cloud computer to his Tailscale network and gave it SSH access to a restricted user on his home Ubuntu box. After a series of proceed replies from him, the AI set the rest up itself. It can now run commands and browser work through his own hardware, and he uses it as the control point for his homelab: Docker, VMs, his NAS and Proxmox. The setup uses a dedicated non sudo user and SSH keys, with no open ports.
He tried Instinct, an agent that lives in WhatsApp, and threw his personal backlog at it. It deleted 300 abandoned accounts and also handled buying things and filling in forms.
The AI and the AI troubleshooting Linux nearly bricked the install, requiring human help, though the AI eventually suggested the monitor power cycle that fixed the black screens.
This only partly worked. Worth knowing before you try it.
He left Twitter in 2022 and had wanted his archive in the Day One journal app ever since. The AI did the import in an hour, and that time included backing up his databases first in case anything went wrong.
He pointed the AI at a downloads folder with over 1,000 media files and at his Jellyfin library. The AI made a queue file he could import into HandBrake, and he says it saved him a lot of time.