Runliant
Independent monitoring for scheduled automations and AI jobs
Today I launched Runliant.
I built it after seeing how easily scheduled automations and AI jobs can fail silently—or report success while producing an empty, duplicated, incomplete, late, or unexpectedly expensive result.
Runliant provides an independent monitoring layer. Each job reports to a dedicated URL, allowing Runliant to verify that it ran on time and that its output met the expected conditions, without requiring access to the user's automation platform account.
It is still early, and I do not have paying customers yet. I would genuinely appreciate feedback from anyone running cron jobs, n8n, Make, Zapier, data pipelines, batch processes, or AI agents.
What kinds of silent failures have caused you the most trouble?
Comment