<?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/89d655bb55aa47c89d3ceea84a089576&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/89d655bb55aa47c89d3ceea84a089576-fa3038d9d890165d.gif</thumbnail_url><duration>429.3452</duration><title>Cultural Insights and LLMs</title><description>In this video, I discuss how to effectively use Springboards to gain hyper-local insights, particularly focusing on cultural nuances. I share two key techniques: using local URLs in prompts and drilling down with the RiffBot for more nuanced responses. It&apos;s essential to keep pushing for deeper insights rather than settling for surface-level information. I encourage you to take an active role in this process and refine your inquiries to get the most out of the tools we have.</description></oembed>