<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>OpenAI |</title><link>https://annelizekrause.com/tags/openai/</link><atom:link href="https://annelizekrause.com/tags/openai/index.xml" rel="self" type="application/rss+xml"/><description>OpenAI</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 27 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://annelizekrause.com/media/icon_hu_da05098ef60dc2e7.png</url><title>OpenAI</title><link>https://annelizekrause.com/tags/openai/</link></image><item><title>AI Workflows for Recruiting</title><link>https://annelizekrause.com/projects/ai-workflows-for-recruiting/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>https://annelizekrause.com/projects/ai-workflows-for-recruiting/</guid><description>&lt;p&gt;An end-to-end recruiting automation pipeline built on n8n, where inbound applications flow through six connected workflows: &lt;strong&gt;application intake&lt;/strong&gt; (via Tally forms), &lt;strong&gt;AI classification&lt;/strong&gt;, &lt;strong&gt;CV extraction&lt;/strong&gt; to structured fields, &lt;strong&gt;phone capture&lt;/strong&gt; via webhook (using ngrok for local tunneling), &lt;strong&gt;structured job intake&lt;/strong&gt; with skill normalization, and &lt;strong&gt;candidate-job matching&lt;/strong&gt; with AI-based fit scoring plus automated alerts.&lt;/p&gt;
&lt;p&gt;Built as the capstone for Masterschool&amp;rsquo;s AI Productivity module. The project demonstrates how AI can take over high-volume, structured recruiting work, freeing the human to focus on judgment-heavy decisions.&lt;/p&gt;</description></item></channel></rss>