Augmenting individual workers involves encoding their personal knowledge (emails, briefs, content) into a large language model to create a 'digital twin' that filters both prompts (inputs) and responses (outputs) to maintain their tone, style, voice, and strategic understanding—expanding their capabilities while preserving their individuality.