Matt Pocock’s AIhero: Building DeepSearch in TypeScript
Mastering Production-Ready AI Applications
This is a cohort-based course that starts on July 14th, 2025. The course focuses on the practical challenges of building useful AI applications. It goes beyond simple AI demos to teach you how to create production-ready products that are robust and reliable. You’ll learn to handle the complex backend, debugging, and performance measurement needed for professional-grade AI systems.
✅ Addressing Common AI Development Challenges
The course is designed to help you overcome the major roadblocks developers face when moving from a basic AI idea to a finished product.
- Backend Infrastructure: Learn how to implement essential backend components like databases, caching, and user authentication, specifically for AI applications.
- Debugging and Performance: Understand how to debug the “black box” of AI agent decisions. You’ll also learn to measure AI performance objectively, so you can move past just “vibe checks” and make real improvements.
- User Experience: The course teaches you how to ensure consistent chat history, reliable routing, and real-time updates for a smooth user experience.
- Managing Agent Logic: You will learn to manage complex AI agent logic without creating single, giant prompts that are difficult to change and improve.
In this course, you will build a complete “DeepSearch” AI application from scratch to practice and master these skills, ensuring you can create a product that is ready for the real world.
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