<?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/37236413d1c34332b5211497a047ad9a&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/37236413d1c34332b5211497a047ad9a-be18ba9c4aa95848.gif</thumbnail_url><duration>454.589</duration><title>Exploring the Agentic Chatbot and AI System Features 🤖</title><description>In this video, I showcase my agentic chatbot and AI system, which I&apos;ve built using various components like the graph builder and Grok LLM. I demonstrate three use cases: a basic chatbot, a chatbot with internet search using the Tavli API, and an AI news summarizer that allows users to fetch news on a daily, weekly, or monthly basis. I highlight how the chatbot retrieves the latest AI news and summarize it effectively, emphasizing the importance of entering the correct API keys for functionality. I also encourage viewers to explore the results stored in the AI news folder for future reference. Please ensure you have the necessary API keys ready to fully utilize the features of the chatbot.</description></oembed>