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.
