<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/7d9d1426273245daae76ee2eec309e23&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7d9d1426273245daae76ee2eec309e23-3d02040eaa6dbc77.gif</thumbnail_url><duration>292.9826</duration><title>Content standard checker for vibe coders</title><description>In this video, I share a content standard checker I&apos;ve developed for users of vibe coding tools, aimed at preventing common content pitfalls. I demonstrate how to install the tool and run a content analysis on a hemorrhoid remedy e-commerce app, highlighting issues like complex terms and gender-specific language. The tool extracts content from the codebase, analyzes it using OpenAI, and provides actionable feedback in a user-friendly format. I&apos;m currently working on reducing the size of system prompts and creating a structured content standard schema for improved efficiency. I encourage you to check out the tool and provide feedback.</description></oembed>