Originally published on hexisteme notes.
If you run a personal fleet of automation on one machine — a handful of cron jobs, several macOS LaunchAgents, a few long-running Python agents, and some MCP servers — you hit a failure mode that has nothing to do with any single job. The schedulers do not know about each other. cron and launchd are separate worlds; the Python agents are a third; the MCP servers a fourth. There is no single place that answers the only question that matters: what is scheduled, did it run, and what did it produce?
So things rot quietly. A daily report generator stops and you do not notice for a week. An ingest job's output piles up unread. A calibration job silently never fires again after a reboot. None of these throw an error you would see — they just stop, and the absence is invisible until you go looking.
The instinct is to reach for a scheduler or a monitoring SaaS. I evaluated 25 of them, and they all failed for the same two reasons.
Why off-the-shelf tools don't fit
