Part I explains the pressure AI brings into professional life: between skepticism and panic, fueled by rising expectations and the fear of falling behind. It explores “productivity panic” and “the illusion of instant expertise” (when fluency looks like competence), then shows why your domain knowledge remains the decisive advantage. Through stories, irony, and the first protocols/checklists, it helps you stay calm and critical, without outsourcing your thinking.

Part II explores practical habits for working with AI and introduces two key tools for quick checks or deeper audits, especially when the stakes are high or the answer feels “too good to be true.” By the end, you’ll know when to sprint with AI, when to slow down, and when to say “no,” using frameworks that make you clearer, more critical, and harder to fool with eloquent nonsense.

Part III prepares you for the hardest part: people. It steps into meetings, emails, and Slack, where unrealistic expectations and pressure show up. You will learn how to manage these expectations, handle AI “disasters,” and build sustainable habits and team dynamics.

Part IV is optional. It demystifies how AI works so you understand why it can sound confident and still be wrong. It explains key terms in plain language (transformers, LLMs, GenAI, RAG/CAG, agents), turns prompting into a repeatable process, and teaches you to build verification/auditing systems for robust workflows.