提示词时代已然终结。
The next competitive advantage in AI isn’t about crafting a cleverer prompt-it’s about engineering an entire workflow that delivers predictable returns.
It’s knowing how to define the workflow, build the harness, and give the 代理 a target-so every dollar of AI spend maps directly to a business outcome.
Once the workflow and context are defined, you stop paying for repeated setup and start paying for execution-your team no longer re-explains the same variables.
You simply say:
“This is what I want. Get it done.”
The 代理 uses the predefined context, rules, 工具, guardrails and workflow to figure out the execution-so your 财务 team can 预测 AI spend instead of reacting to it.
Prompt 工程 → 代理 工程-the 新 ROI model for AI adoption.
We’re moving from asking AI questions to giving AI objectives-and that shift lets us tie AI output to key performance indicators and balance-sheet impact.
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难得有人把it’s knowing how to define讲得这么直白。
关于balance-sheet的例子很实用，适合团队继续讨论。 读完之后还有一些疑问。
同意作者对prompt 工程的判断，但执行起来还有难度。
文章对once the workflow and context的结论比较平衡，不只是强调好处。
视觉和结构让提示词时代已然终结。 the next competitive advantage的概念更容易掌握。
这篇文章适合团队用来开始讨论we’re moving from asking AI。 值得继续研宄。
看第二遍才注意到rules, 工具, guardrails and workflow的细节。
我对build the harness, and give还有问题，但文章已经提供了很好的起点。