Why enterprise AI is won or lost in what surrounds the model: the measure that counts, two ways to build a harness, what remains of it as models improve, and the access it bounds.
Beyond benchmarks and token prices: what really counts for enterprise AI, what a harness is, and eight questions to ask before production.
An agent that decides everything, or a drawn process where AI works only where it is needed: the gap measured on an Excel report, $3 against 6 ms.
What falls away from a harness as models improve, what grows, and why a good harness changes models without changing its rules.
AI researchers warn of extinction. In every feared scenario, AI acts through access to tools, data or people, and a harness can bound each one.