Скачать или смотреть Engineering Agentic AI: Key Lessons from The Agentic AI Bible

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Welcome to this in-depth review of “The Agentic AI Bible” by Thomas R. Caldwell, a definitive guide for anyone who wants to engineer real, fully functional AI agents—not just flashy demos.

Caldwell breaks down the entire lifecycle of building agentic AI systems, from conceptual design and orchestration to tooling, alignment, reliability, memory frameworks, and multi-agent ecosystems.

This book challenges the hype and reveals what it actually takes to push agentic AI into real-world, production-ready systems.

🔥 What you’ll learn in this review:
What “agentic AI” really means—and what most demos get wrong
Why most agents fail outside sandbox environments
The architecture of operational, persistent, and self-correcting agents
Memory design: vector databases, retrieval, context management, and stateful workflows
How to orchestrate multi-agent systems for complex tasks
The engineering challenges: safety, hallucinations, tool-use, audit trails, and autonomy boundaries
Real-world applications: research, automation, operations, decision support, and enterprise systems
Caldwell’s vision for the future of agentic AI and autonomous organizations

Whether you’re an AI engineer, developer, entrepreneur, or tech strategist, this review will give you a clear understanding of how to move from demo-level agents to engineered, reliable AI systems.

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