AI, LLMs, and agents can feel abstract until they are connected to everyday work. The important step is not to know every technical term immediately, but to understand what problem needs to be solved and how intelligence can support better execution.

This view is about reducing the barrier to AI adoption by making the conversation practical: what work is repetitive, what knowledge is scattered, what decisions need support, and what outcomes matter.