<?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/a54e763914cd4f3e908c288cd52d6b23&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a54e763914cd4f3e908c288cd52d6b23-1698773331745.gif</thumbnail_url><duration>283.12000000000006</duration><title>AI Pricing Optimizer - Proof of technical validation</title><description>Link of AI Pricing Optimizer : https://ai-pricing.co/

In this video, I, Bryan, the founder of AI Pricing Optimizer, will prove that all the technical aspects of our product have been validated. I will also introduce myself as a JavaScript full-stack developer and creator of online courses. We will use Gummy Search, a tool that searches for pain points, solutions, and ideas from Reddit, to validate the pricing page of AI Pricing Optimizer. I will demonstrate three scripts that extract text content, format pricing information, and send decisions to our custom fine-tuned AI. By the end of the video, you will have a clear understanding of the validated technical points and be able to make informed decisions.</description></oembed>