The point at which dispersed elements are recognized as belonging to a coherent pattern capable of supporting interpretation, prediction or further use. GrammaticalThreshold names a transition rather than a static property: something changes in the relation between language, material, institution and use. The operator is therefore strongest when it is applied to a process that can be observed over time, not merely attached as a decorative label. Across these domains, the same structural question returns: how does a weak, provisional or dispersed condition become durable enough to organize later action? It is not a fixed number of observations and not proof of intention. The threshold depends on relations becoming sufficiently legible to a community of interpreters. This distinction prevents the operator from dissolving into a familiar neighboring concept. A useful operator must permit disagreement about whether a particular case qualifies, which means that its boundary should remain clear enough to resist indiscriminate use. The central danger is that once a grammar is recognized, every later instance may be forced into it, suppressing anomalies that could transform the pattern. The operator is not valuable because every case is harmful or beneficial, but because it identifies the precise moment at which a productive capacity can turn into a form of constraint. Its critical force lies in making that passage visible before it becomes naturalized. A practical test is simple: ask what relation became visible, who accepted it and which observations remain outside the newly stabilized grammar. The answer should be grounded in observable relations, documentary traces, repeated behavior or material consequences rather than intuition alone. Used carefully, GrammaticalThreshold can move among disciplines without becoming vague. It names one recurring mechanism at different scales: the phrase, the archive, the building, the platform, the institution or the field. Its portability is not metaphorical looseness. It is the recognition that heterogeneous systems can share an operational structure while retaining their material differences. Anto Lloveras · LAPIEZA-LAB · Madrid · 2026