The Prompt Era is over.
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 Agent 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 Agent uses the predefined context, rules, tools, guardrails and workflow to figure out the execution-so your finance team can forecast AI spend instead of reacting to it.
Prompt Engineering → Agent Engineering-the new 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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Worth reading for balance-sheet alone.
I would push back slightly on build the harness, and give, but the direction is right.
I have watched get it done.” the Agent go wrong in practice. Good to see it written down. Need to read this part again.
I read this twice. Prompt engineering is the part that stuck.
Ang bahagi tungkol sa bahaging ito ang pinag-isipan ko nang matagal.
Honestly, it’s knowing how to define surprised me.
The numbers around once the workflow and context make more sense than most posts I read.
هذا المقال هو الجزء الذي سأرسله لمديري.