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Beginners spend 90% of their time on model capabilities, only to watch their AI agents hallucinate fictional policies, accept malicious injections, and execute unauthorized database queries in production. The uncomfortable reality is that modern language models are not databases, they do not learn by themselves, and they cannot be trusted with unsupervised power. Backed by real-world disasters-including court rulings holding companies liable for automated text and multi-million-dollar security flaws-this book exposes why traditional tutorials leave teams completely unprepared for reality. Discover why production systems are won entirely through strict context engineering, hard step ceilings, and code-enforced security boundaries that the model can never bypass.
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