Building AI-Powered Applications

Part of the Prompt Engineering course

This is the capstone. Every earlier lesson taught one move: generating text, shaping structured output, calling functions, retrieving facts with RAG, running agents, and prompting for images. Real products are none of those alone. They are several of them wired together, with the plumbing that makes the whole thing trustworthy: orchestration, evaluation, guardrails, and a plan for when a call fails.

Up to now you have sent one prompt and read one answer. A product rarely fits in one prompt. Consider a product launch assistant: given a product name, it should produce a tagline, a price, and a hero image prompt, all consistent with each other. No single model call does that well. Instead you chain focused steps, each one the kind of prompt you already know how to write.