Silent Failures: Trading Bot Crashed 8,000 Times While Scheduler Showed All Green

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A solo developer running an AI-managed trading operation discovered that a Windows Task Scheduler job had been reporting successful exits for over three weeks, even as the underlying Python bot crashed on nearly every 5-minute cycle due to an unhandled broker authentication error. The outer process wrapper exited cleanly each time, masking more than 18,000 tracebacks and resulting in zero real trades during the entire period. A separate incident saw an AI-generated status report confidently misread stale log data, incorrectly flagging a bot as crashed when it had actually executed its circuit-breaker correctly. The developer only uncovered the prolonged failure by manually reading raw log files, as no automated monitoring tool flagged the issue. Both incidents highlight a critical gap between process-level health checks — which confirm a job ran — and outcome-level verification, which confirms a job actually did what it was designed to do.

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