<?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/ad0f6638a7874b8fa44fdecc5fb16426&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ad0f6638a7874b8fa44fdecc5fb16426-10aa2b0e89f0bd0d-full.jpg</thumbnail_url><duration>200.37559</duration><title>Poolside with Goose</title><description>This guide demonstrates how to set up Goose with Poolside using both OpenRouter and Poolside inference. It first installs Goose, selects the recommended OpenRouter option in the setup wizard, and approves an authorization request so no API key copying is needed, then uses /model commands to run system health checks, inspect network devices, and create a recurring daily check via a cron job. Next it covers Poolside inference by choosing Custom Provider with OpenAI Compatible, pasting the API endpoint from platform.poolside.ai, generating an API key for Goose, adding model IDs, enabling streaming, and using the V1 chat completions path for testing. It finishes with an example where Goose creates an automated daily news digest at 9 AM using cron and scripts to avoid repeats.</description></oembed>