Overview

Production-Grade Agentic AI: Build, Evaluate & Operate Self-Improving Agents with Open Protocols and AI-First Architecture Are you ready to move beyond AI prototypes and deliver real, scalable business impact? Too many AI projects stall at the demo stage, breaking under real workloads and user demands. This book is your practical playbook for building robust agentic AI-systems that act, adapt, and improve themselves in production environments. Unlock the Power of Real-World Agentic Systems Inside, you'll discover how to design, implement, and operate self-improving AI agents using proven open protocols and an AI-first architecture. Every concept is grounded in real deployments, not just theory. With a code-first approach and actionable strategies, you'll learn to: Architect modular, reliable AI agents that can plan, act, and remember Connect tools and agents using open standards like MCP and ACP for security and interoperability Build self-improvement loops with automated evaluation, versioning, and safe upgrades Operate, monitor, and troubleshoot agentic AI systems at scale What You'll Gain This book is packed with practical skills and knowledge you can use right away: Step-by-step guides for designing agent workflows, memory systems, and operational dashboards Code templates for quick prototyping and production deployment Evaluation frameworks to track, measure, and improve agent performance Security checklists and safety practices for production environments Real-world case studies from support, sales, and developer automation Start Building AI That Matters If you're a developer, architect, or technical leader aiming to deliver AI that lasts, this is your field manual. Stop settling for experiments-build agentic AI that stands up to real users and real business needs. Start your journey to production-grade agentic AI today.

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