Why this course?

AI features are standard in modern web apps – but if you want to use them professionally, you need to master Tool Calling. This is the mechanism that transforms a language model from a simple chatbot into a real part of your application.

The goal: Apps that respond to natural language

Your web app should not just answer – but act. Create entries, update them, delete them. Execute actions. Exactly what users mean – without forms, without clicks.

What you will learn

  • Tool Calling from scratch: Define Tool Schemas, understand the Tool Calling Loop, control the model precisely
  • Guardrails & Confirmation Patterns: Ensure the assistant only does what it should
  • Properly manage Chat History: Preserve context across multiple interactions
  • Practical project: From zero to finished application – hands-on, not just overview

Why is this relevant – even with AI-assisted coding?

Those who work with Claude Code, Cursor or similar tools quickly notice: AI-generated code for LLM integration is hard to evaluate if you do not know the concepts behind it.

Parallel Tool Calls, wrong History format, a System Prompt that makes the model uncontrolled – these are real bugs that are not obvious. Those who understand the concepts can specifically guide the AI, review generated code and intervene when something goes wrong.

Who is this course NOT for?

  • Complete programming beginners without JavaScript knowledge
  • Developers looking only for a quick overview without practical implementation

About me

I am Stephan and have been developing web apps with AI integration for years. In this course, I show you how to build structured, professional LLM features – with real understanding, not just copy & paste.