What stayed with me after spending time in @OpenGradient 's documentation isn't the verification architecture itself — it's what the default reveals about platform economics. Most AI services price on consumption: tokens in, tokens out. $OPG works differently. There's a flat token prerequisite before anything runs, and the settlement default — BATCH_HASHED rather than ZKML or PRIVATE — makes clear that the platform isn't selling proof granularity. It's selling infrastructure participation at a fixed entry cost. The implication is quiet: in a world where inference becomes commodity, the defensible layer might not be computation at all. It might be the coordination mechanism around it. #OPG 's architecture bets that defaults become standards, and that whoever defines the default verification envelope captures value not per inference but per developer relationship. Whether that's a durable moat or a soft toll booth is the part the documentation doesn't answer.