Mmastodon TechnologySoftware first seen 7 h ago, last 6 h ago, peak #8
AI agents act, but logs cannot explain why
Original: An agent can update a customer record, trigger a refund, or route a support case while every dashboard stays green. Then
Software engineers are debating a blind spot in agentic AI systems: an agent can update a customer record, issue a refund, or reroute a support ticket while all monitoring dashboards report everything is fine. The concern is that existing traces show tokens and latency, application logs show outputs, but neither answers why an action was authorised or what exactly changed in underlying systems.
Why now: Growing use of autonomous AI agents in production systems is exposing gaps in auditability and accountability tooling.
AI agentsobservability toolingcustomer support systems
Evidence
- An agent can update a customer record, trigger a refund, or route a support case while every dashboard stays green. Then someone asks the only question that matters: why was this action allowed, and what actually changed? A trace may show tokens and latency. An application log… · hackaday@www.urbanmind.net · 4
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