<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nwsl on Start AI Tools - Presented by Intent Solutions</title><link>https://startaitools.com/tags/nwsl/</link><description>Recent content in Nwsl on Start AI Tools - Presented by Intent Solutions</description><generator>Hugo</generator><language>en-US</language><copyright>Intent Solutions. All rights reserved.</copyright><lastBuildDate>Thu, 09 Apr 2026 20:56:12 -0500</lastBuildDate><atom:link href="https://startaitools.com/tags/nwsl/index.xml" rel="self" type="application/rss+xml"/><item><title>Building an AI Video Pipeline with Vertex AI Veo, Lyria, and GitHub Actions</title><link>https://startaitools.com/posts/nwsl-ai-video-pipeline-veo-lyria-github-actions/</link><pubDate>Sat, 08 Nov 2025 10:00:00 -0600</pubDate><guid>https://startaitools.com/posts/nwsl-ai-video-pipeline-veo-lyria-github-actions/</guid><description>&lt;h2 id="the-goal"&gt;The Goal&lt;/h2&gt;
&lt;p&gt;Build a CI/CD pipeline that produces documentary-style video content about NWSL soccer. Not a one-off script. A repeatable, trigger-on-push system that generates video segments, scores them with AI music, assembles the final cut, and watermarks the output.&lt;/p&gt;
&lt;p&gt;The media APIs are Vertex AI Veo (video generation) and Vertex AI Lyria (music generation). The orchestration is GitHub Actions. The assembly is ffmpeg. Over 23 commits and 53,000+ lines, the pipeline went from a blank repo to a working end-to-end system.&lt;/p&gt;</description></item></channel></rss>