Overview

Stop treating AI like a magic trick. Start treating it like a production asset. Most organizations are failing at LLM adoption because they are stuck in ""prompt theater""-celebrating demos that cannot survive legal or operational scrutiny. When the model is fluent but wrong, or when a ""helpful"" chatbot violates policy, the problem isn't the prompt. The problem is the lack of a protocol. Expert as Protocol is the operating manual for the end of the hype cycle. It offers a rigorous, speculative framework for professionals who need to ship AI-mediated work that is auditable, safe, and scalable. You will learn how to shift from ""chatting with bots"" to designing reliable systems: The Truth Stack: How to separate the model's fluency from the system's facts, ensuring truth comes from authoritative sources, not hallucinations. The Async → Artifact → Sync Loop: A new staffing model that replaces endless meetings with high-signal ""office hours"" grounded in structured artifacts. Risk Tiers & Scope Boundaries: Practical governance tools to define exactly what an AI is allowed to do-and more importantly, what it must refuse. The New Org Chart: Detailed profiles of the emerging roles required to manage these systems, from the Protocolized Expertise Architect to the Meta-Psychiatrist. This book is not for people looking for ""ChatGPT tips."" It is for leaders, operators, and experts who are ready to turn professional judgment into a repeatable, governable protocol.

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