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.…
AI Memory Systems How modern AI remembers users, conversations, and knowledge to deliver personalized, context-aware experiences. Traditional Large Language Models forget everything once a conversation ends. AI Memory Systems change that by enabling applications to remember user preferences, previous interactions, business knowledge, and important information across multiple sessions. By combining memory with technologies like Context…