<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Karen Lynn Butler]]></title><description><![CDATA[Creative Professionalism Unlocked]]></description><link>https://www.karenlynnbutler.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Fri, 09 Oct 2026 18:56:14 GMT</lastBuildDate><atom:link href="https://www.karenlynnbutler.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Risk Mitigation Exercise: Framework, Visual Matrix, and Implementation Guide]]></title><description><![CDATA[1. Executive Summary &#38; Exercise Objectives The Risk Mitigation Exercise is a structured methodology designed to safeguard project integrity during new feature rollouts and within existing systems. By employing a rigorous identification and triage process, organizations can move away from reactive firefighting toward proactive resilience. Purpose: To systematically identify, categorize, and triage risks across technical and operational domains, ensuring that potential failures are addressed...]]></description><link>https://www.karenlynnbutler.com/post/risk-mitigation-exercise-framework-visual-matrix-and-implementation-guide</link><guid isPermaLink="false">6ab2eefea9cd81127b635750</guid><pubDate>Tue, 22 Sep 2026 21:27:34 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ff3d5f_108c19a19dd7436ea8c97ceec3d65ba9~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Karen Butler</dc:creator></item><item><title><![CDATA[AI Harness Engineering]]></title><description><![CDATA[AI Harness engineering is not just an engineering concern; it is equally vital for product managers and program managers. For Product Managers, understanding AI harness provides insight into system capabilities, performance trade-offs, and user experience guardrails, ensuring that AI-driven features are reliable, ethical, and aligned with user needs. For Program Managers, AI harness defines the operational workflow, verification logic, and risk management framework necessary to track...]]></description><link>https://www.karenlynnbutler.com/post/ai-harness-engineering</link><guid isPermaLink="false">6ab199a1703293e42172171d</guid><pubDate>Mon, 21 Sep 2026 20:59:24 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ff3d5f_0b6dddc9f3374503aa2efa74c7f5809b~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Karen Butler</dc:creator></item><item><title><![CDATA[Navigating RAG in Production: Who Owns What (And Why It Matters)]]></title><description><![CDATA[By aligning technical theory with practical implementation, the roles of Engineering, Product Management (PM), and Program Management (PgM) can be clearly delineated within the Retrieval-Augmented Generation (RAG) pipeline. Engineers are responsible for the design and development of the underlying algorithms and infrastructure, ensuring that the technical components function effectively. The Product Manager defines service level agreements (SLAs) and key performance metrics, guiding the...]]></description><link>https://www.karenlynnbutler.com/post/rag-pipeline-in-production-environment-by-role</link><guid isPermaLink="false">6aaede27fc1b448c3a7b2abc</guid><pubDate>Sat, 19 Sep 2026 19:42:54 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ff3d5f_eb2f93c0a24b4da2a0b5c000481e464f~mv2.png/v1/fit/w_1000,h_817,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Karen Butler</dc:creator></item></channel></rss>