Articles, tools, and research on getting real value from AI.
Most AI prompts fail for the same reason most delegations fail: you assumed the other party already knew what you know.
Read article →The real AI skills are not about writing better prompts. They are about knowing where to skate next.
Read article →The biggest barrier to AI adoption is not the technology. It is that experienced professionals can't articulate what makes them good.
Read article →Three practical tools for surfacing the knowledge you carry without thinking about it: the Broken Robot Test, the Trade-Off Test, and the Success Picture.
Read article →Succession planning and AI readiness are the same problem. Both require capturing expertise that lives in people's heads, not in manuals.
Read article →The hard part of working with AI is not learning what to say. It is knowing what you actually want.
Read article →Before you automate a process, make sure you know what the process actually is. Most organizations are surprised by the gap.
Read article →Most organizations automate what is easy instead of what is smart. A two-axis framework sorts any task into the right human-AI arrangement.
Read article →AI makes some skills less valuable and others more valuable. Strategy, judgment, and critical thinking are not going away. They are going up.
Read article →Startups build with AI from day one. Incumbents have to retrofit. The advantage is real, but it is not permanent.
Read article →Sensemaking, judgment, ethics, empathy. The skills AI cannot replicate are the ones that will define your value.
Read article →Trust, Context, Distribution, Taste, Liability — a filter for identifying what remains valuable as AI gets better.
Learn more →The two skills that turn generic AI output into work that reflects your judgment, situation, and standards.
Read the article →The free AI proficiency assessment takes 8 minutes and gives you a personalized development path.
Take the Free Assessment