博客來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.
