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Learn to build agentic AI systems using Mastra.ai, a TypeScript framework that simplifies AI workflow development compared to traditional LangChain and vector database approaches. Discover how to create structured AI workflows with composable tools and reliable control mechanisms for developing internal AI assistants capable of handling data cleaning, email drafting, and document summarization tasks. Master Mastra installation procedures, local MCP server configuration, and TypeScript-based tool and agent definitions while exploring the Mastra playground environment. Implement practical examples including RAG setups and tool-chaining agents through hands-on exercises designed to demonstrate scalable AI-driven internal tool development based on solid software engineering principles rather than experimental prompting techniques. Gain expertise in creating production-ready AI systems that can be deployed and maintained effectively within organizational workflows, with guidance from experienced engineers who have shipped AI systems across multiple companies and technical stacks.
