AI Fluency

AI Fluency explained

Start with a recurring task that your team can assess well. Define a good result and the information that may be used. Let colleagues try different approaches and explain their decisions. A successful exercise also includes choosing not to use AI or rejecting an answer.

An accessible learning approach by Rick Dakan, Joseph Feller and Anthropic identifies four competency areas: delegation, description, discernment and diligence. It provides a useful reference, not a binding definition for every organisation. What matters in your work is whether it leads to better briefs, careful checks and traceable decisions.

Make learning part of team practice. Collect successful and unsuccessful examples with explanations, offer help and update guidance when tools change. A shared prompt needs context and limitations so it is not blindly reused for different tasks. Encourage people to raise uncertainty and errors early rather than presenting only quick successes.

Creative Engineering connects this competence with creative development and reliable execution. We take responsibility for the concept and quality. Assess whether people deliver better task solutions, detect important errors and explain their approach. Usage rates or completed training hours show activity but do not independently establish competence or economic value.