<?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/b127cafae44843bc9cca530b4f9add52&quot; frameborder=&quot;0&quot; width=&quot;1292&quot; height=&quot;969&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>969</height><width>1292</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>969</thumbnail_height><thumbnail_width>1292</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b127cafae44843bc9cca530b4f9add52-4506758dbd111bce.gif</thumbnail_url><duration>296.362</duration><title>Best Practices for AI-Powered R&amp;amp;D Formulations</title><description>In this video, I shared best practices for maximizing the value of our AI platform, which can transform your formulation process. I emphasized the importance of treating inputs as strategic blueprints and being specific with goals, while also keeping ingredient and cost data up to date. I encouraged you to upload benchmarks and test results promptly, and to embrace multi-round campaigns for continuous improvement. Monitoring progress and capturing learnings for future projects are crucial steps that can enhance your outcomes. I urge you to collaborate across teams early in the process to ensure diverse input and better results.</description></oembed>