Less token means lower GPU usage. 更低 GPU usage means cheaper cost. And honestly, who said AI must always need monster GPU power just to run real business 系统?
We started with 34 billion 令牌. After moving into a detached 系统 architecture, the usage dropped to around 1.5 billion 令牌. Now, with process segmentation and modular refactoring, we cut that again by roughly 50% from 1.5 billion.
This is not magic. This is 系统 设计. Most AI cost is wasted because the AI is forced to reread the same 系统, same process, same logic, and same workflow again and again for every small change.
But when the 系统 is detached and every process is clearly segmented with its own dictionary, AI only reads what it needs. Modify payment flow? Read payment process only. Modify order checking? Read order process only. No full-系统 scanning. No token bonfire.
This is where 中小企业 can win. AI should not belong only to big companies with big servers and big budgets. The future is not just bigger models. The future is smarter 系统.
