Building web apps today no longer means writing every line of logic by hand. The next generation of applications is powered by AI agents — autonomous workflows that can plan, call tools, fetch data, and complete multi-step tasks on behalf of your users. But an AI agent is only as good as the prompts and workflows that guide it. Poor prompt design leads to unreliable behavior, hallucinated outputs, and workflows that silently break in production. This course teaches you how to design prompt systems and AI agent workflows that actually work inside real web applications. You will start with the foundations of prompt engineering — clarity, structure, context windows, and output control — then move into composing multi-step agent workflows that integrate with your backend, APIs, and user interfaces. You will explore tool-calling patterns, error recovery strategies, and how to evaluate agent behavior before shipping to production. By the end, you will know how to build an AI-powered feature end-to-end inside a web app. The course is designed for web developers who already write code and want to add AI-driven functionality to their products without relying on fragile demos or magic prompts copied from the internet. You should be comfortable with JavaScript or TypeScript and basic backend concepts — no prior AI or machine learning experience is required. If you are ready to move beyond toy chatbot demos and build AI features that hold up in real production environments, this course will give you the practical workflow you need.