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Agentic AI Systems and Tools: Develop Reliable, Cost-Efficient AI Agents That Think, Act, and Automate Real-World Work
Paperback
Series: AI & Applied ML, Book 3
Publisher: Independently Published
Published: Dec 22 2025
Pages: 224
Weight: 0.87
Height: 0.47 Width: 7.00 Depth: 10.00
Language: English
Agentic AI Systems and Tools: Develop Reliable, Cost-Efficient AI Agents That Think, Act, and Automate Real-World Work
Traditional automation is collapsing under the weight of modern complexity. Teams are overwhelmed by repetitive tasks, brittle workflows, rising operational costs, and the constant pressure to deliver faster. The question is no longer whether automation is required - it is whether your systems are smart enough to keep up. Agentic AI offers a path forward, but only if it is implemented with rigor, structure, and reliability.
This book presents a practical, engineering-focused guide to building AI agents that reason, plan, use tools, and make consistent decisions across real-world environments. Instead of vague theory or experimental concepts, you get concrete patterns, proven architectures, and production-ready techniques that show how to create agents that actually perform. The focus is always on results: stable behavior, predictable cost, and actionable intelligence.
You will learn how to choose the right large language models, structure agent reasoning, build effective planning loops, integrate APIs and databases, manage memory, coordinate multi-agent systems, and deploy everything with observability, testing, and strong guardrails. You gain the practical insight required to design agents that work safely with sensitive data, operate across complex infrastructures, and reduce human effort without introducing operational risk.
Readers will acquire the ability to:
- Build agents that can think through tasks instead of guessing.
- Create secure, resilient tool integrations for real workloads.
- Implement memory systems, evaluation pipelines, and monitoring.
- Deploy agents using modern cloud, container, and CI/CD practices.
- Design multi-agent collaboration that improves throughput and accuracy.
- Control cost while improving performance and reliability.
Every chapter focuses on how real engineering teams apply agentic patterns to automate analysis, orchestrate services, handle complex decisions, and support high-stakes operations. Whether you work in software, data, operations, or architecture, you gain a playbook for building systems that scale with confidence.
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