The launch itself matters less than the clone stampede that followed: twenty alternatives in roughly a month suggests the industry sees constrained decision outputs as the next table-stakes layer, much like function calling and structured JSON modes became standard within quarters. In our view the paradigm is sound — bounded, auditable answers are exactly what regulated enterprises need before models can sit in production decision paths. The skepticism is about moats: if OpenAI, Cloudflare and AWS all ship lookalikes within weeks, 'decision model' risks becoming a wrapper term, and real differentiation will shift to calibration, evaluation and integration rather than the interface itself. The test to watch: whether any of these vendors publish reliability and calibration numbers, or whether this is mostly classifiers with an LLM sheen rebranded for 2026.