Strong framing of AI value shifting from prompts to systems; durable advantage comes from owning workflows, evaluation, and feedback loops, not just model access.
Shifting focus from writing better prompts to designing closed loops, especially with an encoded "eval gate" is the exact moment an operator stops playing with AI tools and starts building actual enterprise equity.
i used to think the gate had to be automated to count
turns out the gate that works starts as just you reading every output. you hand pieces to the ai as you trust them, and thats when you stop babysitting
The hardest piece, but the greatest value-add to me, is the quote from McKinsey:
"McKinsey’s State of AI 2025 found the firms capturing real value are the ones redesigning whole workflows, not automating single tasks"
It's lazy to automate existing processes. Way harder to reimagine what is only now just becoming possible.
That’s a game changer. Absolutely
Strong framing of AI value shifting from prompts to systems; durable advantage comes from owning workflows, evaluation, and feedback loops, not just model access.
Thank Michael. Appreciate your feedback
The stop condition may be the most useful part here.
Al will happily keep going long after the work has stopped being useful.
Very relatable, to be fair. 😅
Totally. We all learn this the hard way! 😂
Shifting focus from writing better prompts to designing closed loops, especially with an encoded "eval gate" is the exact moment an operator stops playing with AI tools and starts building actual enterprise equity.
i used to think the gate had to be automated to count
turns out the gate that works starts as just you reading every output. you hand pieces to the ai as you trust them, and thats when you stop babysitting
Most operators built the action and called it AI. The other four parts are where the leverage actually lives.