At AINNA, we review the books of 马来西亚n 中小企业 who bought into the AI hype and now face a different reality. Once token usage, GPU time, cloud hosting and maintenance are booked as recurring opex rather than pilot experiments, many leadership teams slow or stop deployment because the numbers no longer justify the spend.
The real misallocation is defaulting to LLM inference for every workflow. 可预测, low-complexity tasks should sit on parsers, rule-based automation or detached 系统 where unit costs are fixed and auditable. AI should only draw budget when the measurable return clearly exceeds the variable cost.
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如果有更多rule-based automation or detached 系统的数据和结果会更完整。
这篇内容让我更容易理解为什么low-complexity值得关注。
我会把AI should only draw budget这一段分享给需要了解技术的同事。
视觉和结构让cloud hosting and maintenance的概念更容易掌握。
如果可以继续说明rule-based的真实案例，我会想继续阅读。
文章对rule-based automation or detached 系统的结论比较平衡，不只是强调好处。
同意作者对rule-based的判断，方向很清楚。
这篇文章对cloud hosting and maintenance的解释很清楚，实际操作的重点也很容易理解。