How I built an AI Pipeline That Transcribes YouTube with Whisper and Summarizes with Claude

How I Built an AI Pipeline That Transcribes YouTube With Whisper and Summarizes With Claude Getting useful information out of long-form YouTube content is a time sink. You watch a 90-minute podcast, realize the three key insights could have been a paragraph, and wonder if there is a better way. There is. I built MurmurCast, an automated pipeline that monitors YouTube channels, transcribes new uploads using Whisper, summarizes them with Claude, and delivers the results as a daily email digest. This article is a full architecture walkthrough -- the APIs involved, the fallback strategies, the infrastructure choices, and every hard lesson learned along the way. The Problem: YouTube Content Is Unstructured and Time-Consuming The average knowledge worker follows dozens of YouTube channels, podcasts, and newsletters. The content is valuable but locked in formats that demand your full attention. You cannot skim a video the way you skim an article. Search inside a video is terrible. And if you