The point in an iterative AI exchange at which further iteration ceases to add value, functioning as a signal to stop. It marks a discrete diminishing-returns threshold within a refinement sequence.
EVENT. Counted once per refinement chain at the iteration after which marginal improvement falls below a pre-registered criterion (rated quality gain < epsilon, or the user explicitly stops citing no added value). The saturating iteration index is recorded.
Proposed measurement protocol (not yet empirically validated): Marginal-gain tracking across iterations: per-iteration quality rating (anchored rubric) with the saturation point at the first sub-threshold gain; could be reported as mean iterations-to-saturation. Inter-rater reliability of gain ratings via ICC.
https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/#topic-system-behavior