
Why I Built ClawTick: Cloud Scheduling for AI Agents
Three weeks. That's how long it took me to discover my AI agent's daily reports had stopped working. The cron job? Still running. The script? No errors logged. The problem? A silent failure buried in a server restart during a maintenance window. That's when I realized: cron wasn't built for modern AI automation. The Problem with Traditional Scheduling If you're running AI agents in production, you've probably hit these issues: 1. Silent Failures Your agent fails, the cron job completes (exit code 0), and you get... nothing. No alert. No notification. You discover the failure days later when someone asks "where's the daily report?" 2. Server Downtime = Missed Triggers Your server reboots at 3 AM for updates. Your 3:05 AM job? It never runs. Cron doesn't catch up. Your customers wonder why their morning briefing is missing. 3. No Execution History "Did the job run last Tuesday?" You're stuck grepping through scattered log files (if they exist) trying to piece together what happened. 4. M
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