I have been paying close attention to a product of @ DeAgentAI recently: AI Token Smart Router. Many people are still asking what AI Token Smart Router is, whether anyone is using it, whether the call is genuine, and how this matter is connected to AIA. Simply put, it is not about creating a new big model, but about consolidating different AI models that enterprises originally needed to access and call separately into a unified entrance. After the enterprise joins, it can choose different models according to its needs and call the models API、 Unified management of usage and billing. Previously, companies had to connect multiple models and may have to connect with different suppliers separately; Nowadays, Router is more like an "AI model master router" that unifies multiple model calls, allowing enterprises to select, calculate, and reconcile. More importantly, this product is no longer stuck in the PPT stage. According to recent official data, the AI Token Smart Router has already been used by B2B customers during the trial operation phase. The latest official data also shows that since the product's internal testing, it has served 8 B2B customers, processed over 54 million external model calls, and its monthly revenue has exceeded 1 million US dollars. At present, the product has also been officially opened to B2B customers. So I think what's really worth observing now is: How much did these companies actually use? Can the outer continue to generate revenue? How does income ultimately connect with AIA? This is also what I find interesting about the relationship between AI Token Smart Router and AIA. It is currently following a relatively direct value chain: enterprises call AI → Router generates commercial revenue → Protocol/business generates revenue → Part of the funds are used for AIA repurchase and destruction. DeAgentAI has previously announced a mechanism for AIA repurchase and destruction based on real protocol revenue. So if the number of B2B customers, model calls, and revenue of Router can continue to grow in the future, then it is actually gradually turning "AI usage" into "real business revenue", and further forming the value return of AIA. My personal focus now is on three data points: ① Has the number of B2B customers continued to increase ② Can the number of model calls continue to increase from tens of millions ③ Can the chain of revenue → repurchase/destruction of AIA continue to cash in This is easier to verify than simply narrating an AI project. Simply put, what AI Token Smart Router really needs to prove is one sentence: whether there are real enterprises using it, and whether these real calls can ultimately generate real revenue.