Overview

AI systems are no longer just answering questions, they are taking action. From automated research assistants to fully autonomous business agents, a new engineering discipline is emerging: agents that plan, execute, and operate across real infrastructure. Full-Stack AgentKit is your professional blueprint for building intelligent agents that perform reliably in production. Designed for software engineers, AI developers, and technical architects, this book shows how to architect agent systems that are secure, scalable, observable, and ready for enterprise deployment. If you want to build agents that actually work in the real world and not just in demos this is the guide. Inside, you'll learn how to: - Design action-driven agents using AgentKit, SDK tooling, and model-backed reasoning - Integrate APIs, vector memory, and policy frameworks for secure automation - Deploy robust agent systems with base models, RAG pipelines, and tool orchestration - Implement structured evaluation, monitoring, and fallback safety patterns - Operate agents across multi-service environments with reliability engineering best practices What sets this book apart is its complete, system-level perspective. You will learn practical patterns used in high-availability AI platforms, including: - Building action schemas, planning loops, and agent lifecycle control - Memory architectures with embeddings and retrieval augmentation - Observability, metrics, and incident-resilient agent operation - Real deployments with continuous testing, version governance, and zero-trust security - Production case studies demonstrating end-to-end intelligent automation Whether you're automating support workflows, integrating AI into business systems, or building tool-using agents that collaborate, this book gives you the architecture, code, and operations knowledge required to ship confidently. If you are ready to move beyond prototypes and engineer agents that think, plan, and act with reliabilit, get your copy of Full-Stack AgentKit today and start building the future of intelligent automation.

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