Building an AI-Powered Hotel Booking Assistant | Making Bots

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00:00 Welcome and Introduction
02:56 Agenda and Goals
03:40 Understanding User Experience
04:19 Types of AI Agent Goals
06:18 Personalization Strategies
09:26 Live Demo: Booking a Hotel
17:34 Technical Deep Dive
24:48 Introduction to the Hotel Concierge Chatbot
25:06 Detailed Breakdown of the Prompt
25:54 Analyzing and Responding to User Queries
29:01 Date Classification and Extraction
30:45 Converting Dates and Checking Availability
31:40 Framing the Response and Final Booking
33:13 Q&A: Integration with CRM Systems
35:47 Q&A: Handling User Queries and Intent Classification
39:21 Q&A: Cost and Efficiency of Prompt Chaining
42:18 Q&A: Data Privacy and Security Considerations
44:12 Q&A: Comparison with Traditional Chatbots
48:00 Q&A: Handling Prompt Injections and Flexible Frameworks
49:59 Final Q&A & Next Steps

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Highly valuable episode guys, thanks! One thing I get the most out of the Making Bots series, besides killer prompts, is inspiration. I get this urge to rush to my VF dashboard and start improving and crafting better agents, it's amazing. I will take some of the recommendations and incorporate them into Alba, my own hotel concierge product :)

An extra note, it's insane how within just a couple of days of the release, the video is "out of date" with the release of GPT-4o mini, which can be used for many things here instead of GPT-4o. But it's not, it's a great episode, keep them coming 🙌

juancarlosqr
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Can anyone tell, if user is logged in to the website where we have the chatbot embedded, what are the ways to someone provide the signed in user details to the chatbot?

mzafarr
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Hi there, great presentation. Can you please direct me to the template you have used to build this? Thanks

SnowballUniversity