<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Agents | Stefano Blando</title><link>https://stefano-blando.github.io/en/tags/ai-agents/</link><atom:link href="https://stefano-blando.github.io/en/tags/ai-agents/index.xml" rel="self" type="application/rss+xml"/><description>AI Agents</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-US</language><lastBuildDate>Wed, 05 Mar 2025 00:00:00 +0000</lastBuildDate><image><url>https://stefano-blando.github.io/media/icon_hu_8d0dee6c10a3c598.png</url><title>AI Agents</title><link>https://stefano-blando.github.io/en/tags/ai-agents/</link></image><item><title>Real Estate AI Agent</title><link>https://stefano-blando.github.io/en/projects/real-estate-ai-agent/</link><pubDate>Wed, 05 Mar 2025 00:00:00 +0000</pubDate><guid>https://stefano-blando.github.io/en/projects/real-estate-ai-agent/</guid><description>&lt;p&gt;This project explores how an AI agent can be used as a practical layer on top of a more traditional predictive workflow. In this case, the domain is real estate: price estimation, market analysis, and user interaction around property-related questions.&lt;/p&gt;
&lt;p&gt;The project combines valuation models with an LLM-based interface for natural-language interaction and task-level orchestration. The interesting part is not just the agent wrapper itself, but the attempt to connect predictive models with a more usable front-end for exploration and decision support.&lt;/p&gt;</description></item></channel></rss>