The gap between what AI is reliable for and what it looks reliable for is where damage happens, and enablement failsHow to lead the change with AI in a nutshellI’ve been building with AI for three years now. I started by trying to scale UX writing via plug-ins and now have agents, workflows, MCPs, and apps under my belt. I feel comfortable building with AI, and have adopted it into many of my day-to-day tasks.Yes, I do think AI has gotten better over those 3 years.But I think we’re telling ourselves a story that isn’t true. AI has gotten very good at one thing:Starting.The blank page problem.Replacing lorem ipsum.But while starting is faster than ever and error rates may have dropped, the verification burden hasn’t.I think errors have gotten harder to spot, and models have gotten better at defending them.For many, getting from zero to a rough first version is the hardest emotional...