AI observability

Advanced AI Architecture: Strategy, Stack & Daily Practice — lesson 11 of 20 (DEFINITION)

Logging every AI interaction — inputs, outputs, tokens, latency, cost, user feedback — with tools like LangSmith, Langfuse, or Helicone. You can’t improve, debug, or budget what you can’t see. Instrument from day one.

Source: Langfuse — LLM observability

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