What AI Is
Theory
AI is not a brain in a box. It is a prediction engine. It converts large piles of examples into a statistical map and uses that map to respond.
Three questions are more useful than "Is AI smart?":
Pattern-heavy, low-stakes, easy to review. Summaries, rewrites, tagging, extracting fields, brainstorming, first drafts.
Judgment-heavy or irreversible. Refunds, medical advice, hiring, legal claims, anything that moves money or touches a person's life.
A second axis is context. The model only sees the input you give it plus whatever a tool fetches for it. It does not know your team's history, your customer's mood, or last Tuesday's meeting. If the task depends on that hidden context and you do not supply it, the model will invent a plausible-looking version.
So the daily habit is small and steady: hand it a clear task, give it the relevant material, read what comes back, and own the decision.
If the work fits, AI is a fast junior assistant. If it does not fit, simpler tools or a real human will serve you better.