How continuous measurement and alerting are transforming AI from experimental demos into reliable, production-grade services Introduction: The Production Reality Check Your AI feature works in development. It demos well. Then it hits production and you discover three problems your test suite did not catch: the LLM hallucinates product names that do not exist, the RAG…
How tracing, monitoring, and evaluation are transforming AI from inscrutable magic into measurable, debuggable engineering Introduction: The Visibility Crisis When an AI agent returns a hallucinated answer, loops unexpectedly, or burns through token budgets without explanation, traditional application logs give you almost nothing useful. A stack trace tells the whole story for conventional services. LLM…
How systematic evaluation is transforming AI from impressive demos into production-grade, trustworthy systems Introduction: The Evaluation Imperative Two engineers walk into a model-selection meeting. The first says GPT-5 hit 92 on MMLU, the second says Sonnet 5 hit 91, and they spend an hour arguing one point. Neither of them runs MMLU on Monday morning.…