Observability

The observability beat covers what working AI teams need to keep production systems honest. Tracing patterns, the cardinality problem in metrics, embedding and prompt drift, eval pipelines that survive contact with shipping code, and the runbook patterns for the new class of AI-product incidents.

We do not cover AI-vendor dashboards as marketing. We cover what working observability looks like inside a team that has to be paged at 3 AM. The pieces tend to be code-heavy and product-skeptical.