AI Efficiency Metric: Why It’s the Wrong Measure

AI efficiency metric is a tempting way to judge whether AI tools are working—because it’s easy to measure. But it’s also the wrong measure. This article draws on recurring practitioner experiences observed across knowledge workers adopting AI and automation tools: increased review overhead, responsibility ambiguity, and decision fatigue despite faster task execution. Insights are synthesized … Read more

The Responsibility Boundary Checklist: Designing Automation Without Losing Ownership

Automation rarely announces itself as a decision-maker. It arrives as convenience. As cleanup. As something that removes friction from work that already feels repetitive or tedious. A rule is added. A workflow is connected. A system begins acting in the background. Over time, actions that once required attention become assumed. When something finally goes wrong, … Read more