<?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/2c3c32f73c1a4a11b2888da30af58c33&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/2c3c32f73c1a4a11b2888da30af58c33-3ca5f8a6bc487b62.gif</thumbnail_url><duration>825.899</duration><title>Building AI Hotel Booking and Support Automations</title><description>This Loom explains the author’s Initent and related AI automation workflows, emphasizing an AI driven hotel booking platform. It shows how chatbot answers flow through FAQ logic using examples like WhatAllAmenitiesArePresent, and how booking requests collect details, write them to Google Sheets, and send Gmail confirmations, with Redis used to reduce latency and cost. The speaker also demonstrates a separate manual booking automation that triggers when users configure room details, plus integrations with RetailAI via webhooks and conversational workflows. Additional projects mentioned include AI resume screening, RAG pipelines using Pinecone, customer support agents that respond via Gmail and store outcomes in Google Sheets, and video and brand content generation using tools like Veo 3.1, Nano Banana, Kai.ai, Eleven Labs, and KreatoMate.</description></oembed>