<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>schristoph.online</title><link>https://schristoph.online/tags/publicspeaking/</link><description>Personal homepage and blog of Stefan Christoph</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Stefan Christoph. All rights reserved.</copyright><lastBuildDate>Thu, 28 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://schristoph.online/tags/publicspeaking/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-Assisted Talk Prep: The Recording-Analysis-Iterate Loop</title><link>https://schristoph.online/blog/ai-assisted-talk-prep/?utm=rss-feed</link><pubDate>Thu, 28 May 2026 00:00:00 +0000</pubDate><guid>https://schristoph.online/blog/ai-assisted-talk-prep/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>TL;DR:&lt;/strong> I prepared my AWS Summit Hamburg talk through 6 recorded dry runs, each analyzed by a structured AI skill. The skill transcribes via Amazon Transcribe, counts fillers with word-level timestamps, checks customer references against a checklist, flags pronunciation issues, identifies filler-dense windows, and proposes tighter alternatives. This post shows the complete skill file with every step explained, the real results (um: 80→27, customer refs: 0/6→4/6), and the key discovery: the skill and the talk improved together. Each dry run made both better. Total cost: $3.60 for 6 analyses.&lt;/p></description></item></channel></rss>