<?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/641cf0c1125646d4a1ad15ceaad107b0&quot; frameborder=&quot;0&quot; width=&quot;1016&quot; height=&quot;762&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>762</height><width>1016</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>762</thumbnail_height><thumbnail_width>1016</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/641cf0c1125646d4a1ad15ceaad107b0-6199f942436bc84b.gif</thumbnail_url><duration>461.588</duration><title>Vibe Reservoir Engineering Part Three</title><description>This Loom explains how to approach the data room problem by defining a clear boundary between deterministic code and what the LLM should handle. The speaker notes that data rooms differ in structure and format, but they can follow an underlying blueprint of common asset-related elements for context. They emphasize that the goal is to help Claude find and define the set of wells being sold, then enrich that asset definition using related areas, without telling Claude how to parse PDFs, Excels, or databases. The discussion also mentions code abstraction as an important change introduced by LLMs.</description></oembed>