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Quantitative, model-agnostic checks sit between a non-deterministic agent and the user and reject outputs on statistical signals rather than schema or rules: semantic-drift detection (cosine-distance z-score from a… Typical conditions for use: Outputs are free-form, so schema validation does not apply; A numeric reject/allow boundary is needed. The central t…
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Statistical guardrails use statistically justified thresholds to detect deviations and limit risky changes.
The approach comes from statistical process control. Walter A. Shewhart developed control charts in the 1920s to distinguish normal process variation from special causes; the idea now transfers to software metrics.
Picture a road with guardrails: measurements vary inside an expected corridor, and crossing it triggers investigation or rollback.
Statistical limits flag unusual deviation.
Supports safer releases and process control.
Guardrails give an objective signal for intervention. Thresholds must fit the metric and sample or they create noise.
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