Type-Safe AI Agents with TypeScript and Zod

Building intelligent agents requires more than just sending prompts to a language model; you need to ensure the data flowing in and out of your AI is structured, validated, and reliable. This course guides you through the foundational principles of AI engineering using TypeScript and Zod to create robust, type-safe agentic workflows. By reading through this text-based course, you will transition from writing unpredictable prompts to constructing predictable, schema-validated AI agents. You will learn how to enforce strict data structures on LLM outputs, preventing runtime errors and ensuring your applications behave exactly as expected. What you'll learn: - Learn the core principles of AI agent architecture and structured data validation - Define robust data schemas using Zod to validate inputs and outputs - Integrate language model APIs with TypeScript for type-safe execution - Implement structured outputs and JSON validation to handle unpredictable AI responses - Build a functional AI agent from scratch using systematic, step-by-step logic - Practice debugging schema mismatches and handling validation errors gracefully The course begins with foundational concepts of schemas and type safety in AI engineering before moving into hands-on configuration, API integration, and agent loop design. You will progress through written explanations and code-focused walkthroughs that demonstrate how to manage state and data validation in real-world AI applications. This course is designed for beginner to intermediate developers who want to learn AI engineering concepts using TypeScript and Zod. Basic familiarity with JavaScript or TypeScript is recommended, but no prior experience with AI APIs or schema validation libraries is required. Start reading today to master the essential validation patterns of modern AI engineering.