Marvin G6 | Engineering, AI & Automation

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Topic

LLM monitoring

A collection of 2 issues

The Silent Regression: Why LLM Quality Failures Hide in Plain Sight

Learn how evaluation gates and LLM-as-judge monitoring catch quality regressions before customers do. Covers model drift, data drift, and automated guardrails.

Your Agent Is Hallucinating and Your Dashboard Says Everything Is Fine

Build behavioral observability for LLM agents: structured tracing, LLM-judge evaluation, and closed-loop feedback to catch hallucination and silent failures.