{ "item_title" : "Building AI Agents with Mastra and TypeScript", "item_author" : [" Kaelion Veyric "], "item_description" : "Building an AI chatbot is easy. Building an AI application that can use tools, remember context, retrieve reliable information, follow workflows, recover from failures, and operate safely in production is much harder.Building AI Agents with Mastra and TypeScript shows you how to make that transition step by step.You do not need previous experience with Mastra, autonomous agents, RAG systems, or multi-agent architectures. If you have basic familiarity with TypeScript or JavaScript and Node.js, this practical guide will help you build confidence as each concept is introduced gradually and applied to a growing real-world project.Instead of overwhelming you with theory or giant code dumps, the book breaks production AI engineering into manageable stages. You will build agents, connect safe tools, add structured outputs and persistent memory, create production-ready RAG pipelines, design durable workflows with human approval, integrate MCP services, coordinate specialized agents, evaluate behavior, strengthen security, and prepare your application for deployment and scale.Mistakes, failed tool calls, weak retrieval results, and unexpected model outputs are treated as part of the learning process. Each chapter helps you understand what went wrong, improve the system, and move forward with greater confidence.Key FeaturesPractical, step-by-step Mastra and TypeScript implementationOne progressively developed production-oriented AI applicationTyped tools, structured outputs, memory, RAG, MCP, and multi-agent orchestrationTesting, evaluation, observability, security, deployment, and cost controlPractical exercises and production-readiness guidanceWhat You Will LearnBuild and configure reliable AI agents with MastraCreate typed tools for APIs, databases, and business servicesManage memory, persistent state, and user isolationBuild secure RAG systems with embeddings, vector search, filtering, reranking, and source attributionDesign agentic workflows with branching, retries, suspension, and human approvalConnect external capabilities through Model Context Protocol (MCP)Build supervisor and specialist-agent architecturesTest, evaluate, observe, secure, deploy, scale, and optimize production AI applicationsWho This Book Is ForDevelopers new to Mastra and agentic AI; TypeScript or JavaScript programmers exploring LLM application engineering; and self-learners who want a practical path from basic AI agents to dependable production systems.Table of ContentsMastra Foundations and Project SetupEngineering Reliable AI AgentsBuilding Safe and Reusable ToolsMemory, State, and Persistent ContextBuilding Production RAG SystemsAgentic Workflows and Durable ExecutionMCP and Full-Stack Application IntegrationMulti-Agent Systems and OrchestrationTesting, Evaluation, Observability, and SecurityDeployment, Scaling, and Production OptimizationMove beyond AI demos and start building software you can understand, test, secure, and trust. Begin your production AI engineering journey with Mastra and TypeScript today.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/294/9798192946299_b.jpg", "price_data" : { "retail_price" : "34.99", "online_price" : "34.99", "our_price" : "34.99", "club_price" : "34.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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