Production engineering for LLM systems. Evaluation pipelines, online observability, cost and latency tradeoffs, prompt-version drift, A/B on real traffic, and the cases where the LLM-stack hype crashes into the operational reality.
Most LLM apps track total spend and call it done. The interesting signals — per-feature cost, per-user attribution, anomaly bands — require deliberate instrumentation.
Operating LLMs in production — eval, observability, cost, latency. — delivered when there's something worth your inbox.
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