PromptTemplate is one of the most powerful features in Spring AI for building dynamic and structured prompts that lead to better, more relevant AI responses. This session focuses on how to effectively use PromptTemplate to control and customize interactions with AI models without diving into full-scale prompt engineering.

You’ll learn how prompt quality directly impacts AI output, and how to improve responses by structuring inputs properly. The video demonstrates a practical implementation using a movie recommendation use case, where inputs like year, language, and genre are passed dynamically into the prompt to generate personalized results.

A clear distinction between system prompts and user prompts is also covered, along with how to define and pass each of them when generating responses. By the end, you’ll have a solid understanding of how to use PromptTemplate in real-world Spring AI applications to build more flexible and intelligent systems.

This is a hands-on, practical walkthrough designed for developers who want to move beyond static prompts and start building smarter AI-powered features using Spring AI.

Resources:

Spring AI Source Code:  https://github.com/teluskoOrg/SpringAI-YT/tree/main/Prompt%20Template/SpringAIDemo

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A walkthrough of using Spring AI's PromptTemplate to build a movie recommendation API. Covers constructing parameterized prompts with placeholder variables (type, year, language), using the builder pattern to create PromptTemplate objects, and an alternative approach using ChatClient's fluent API with user/system message separation. Demonstrates how structured prompts with explicit response format instructions yield better AI outputs than simple string queries.

Prompt Template | Spring AI