SaaStr: AI Agent Degraded After Team Stopped Monitoring — 'We Did, It Fell Off The Rails, And We Didn't Even Know'

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SaaStr reveals that one of their ~30 deployed AI agents degraded significantly after the team stopped actively monitoring it, with nobody noticing the quality decline. The agent was 'a good one, people really liked it' and wasn't directly connected to revenue, which made the oversight gap invisible. Key lesson for every SaaS company deploying AI agents: training is not a one-time setup — AI agents require continuous monitoring, regular quality checks, and active human oversight or they will silently degrade, especially non-revenue agents that lack natural feedback loops.