Diagnostics and Observability

Diagnostics and Observability

A short note on observability, evaluation, and practical AI systems.

If a system cannot be observed, it cannot be responsibly improved. Logs, traces, evaluations, invariants, and review workflows are not decoration; they are the difference between a demo and an operating system.

GTCode focuses on that layer of AI engineering: model behavior, agent workflow boundaries, retrieval quality, runtime evidence, and failure modes that can be inspected.

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