<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Restaurant Finder on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/restaurant-finder/</link><description>Recent content in Restaurant Finder on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 23 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/restaurant-finder/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 11: Project: Interactive Restaurant Finder Agent</title><link>https://ai-blog.noorshomelab.dev/a2ui-guide-2025/project-restaurant-finder/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/a2ui-guide-2025/project-restaurant-finder/</guid><description>&lt;h2 id="chapter-11-project-interactive-restaurant-finder-agent"&gt;Chapter 11: Project: Interactive Restaurant Finder Agent&lt;/h2&gt;
&lt;p&gt;Welcome back, aspiring A2UI developer! In the previous chapters, we&amp;rsquo;ve explored the fundamental building blocks of A2UI, understood how agents communicate through declarative UI, and even touched upon basic interactivity. Now, it&amp;rsquo;s time to put that knowledge into action by building a complete, practical project: an Interactive Restaurant Finder Agent.&lt;/p&gt;
&lt;p&gt;This chapter will guide you through creating an agent that can understand your dining preferences, search for restaurants, and present the results in a dynamic, user-friendly interface powered entirely by A2UI. We&amp;rsquo;ll start from the ground up, simulating data, handling user input, and progressively enhancing the UI. Get ready to see your agent come alive with rich, interactive capabilities!&lt;/p&gt;</description></item></channel></rss>