The most common AI adoption mistake is not using too few tools, but using too many without a clear outcome. Productivity starts by defining the result, choosing the right tool and turning the workflow into something repeatable.
Start with one concrete task: research, analysis, writing, comparison, automation or decision support. Give context, constraints and the desired output. Ask for a first proposal, verify what matters and improve the process with your own judgment.
Professional advantage does not come from memorizing prompts. It comes from framing better problems, evaluating answers and turning what works into a repeatable way of working.