<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>LLM-as-Judge on Jack Monte — AI Engineer</title><link>https://jackmonte.com/tags/llm-as-judge/</link><description>Recent content in LLM-as-Judge on Jack Monte — AI Engineer</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 21 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jackmonte.com/tags/llm-as-judge/index.xml" rel="self" type="application/rss+xml"/><item><title>I Built an Eval Harness for My RAG Pipeline. Here's What the Numbers Revealed.</title><link>https://jackmonte.com/posts/eval-harness-rag-pipeline/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://jackmonte.com/posts/eval-harness-rag-pipeline/</guid><description>Most RAG pipelines ship without a systematic way to measure whether they work. I built an eval harness with 40 golden questions and three scorers. The numbers gave a precise diagnosis: generation is solved, retrieval is not.</description></item></channel></rss>