The question of whether AI is “good enough” for serious knowledge work has been answered. The models crossed that threshold this year. What’s slowing organizations down now isn’t capability, but the need to redesign work around what these systems can do.
We’ve spent the past 18 months figuring out how. We made plenty of mistakes but today I want to share what survived. Six mental models that can genuinely change the quality of work you get from generative AI. Together with the seven lessons we shared earlier in the year, this is the operating manual we wish we had all along.
