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A practical, Bash-first guide to AI reliability: why probabilistic AI needs error budgets, how to define SLIs/SLOs, and a drop-in script that queries Prometheus (or parses logs) to compute SLO attainment, error budget remaining, and burn rates. Includes apt/dnf/zypper installs, example PromQL, CI-friendly exit codes, and a systemd timer to publish daily Markdown reports, helping gate rollouts and spot spiky or slow burns.