How to Build AI Agents: From Basics to System Integration with CustomGPTs and Airtable

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In this video we’re covering AI agents in-depth, from creating one from scratch, starting with basic prompting techniques and advancing to system integration using CustomGPTs and Airtable.

This is a hands-on tutorial designed to show you the practical steps involved in building AI agents and expanding their use cases across different systems.



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Chapters:

00:00 Intro
00:21 ChatGPT as an AI Agent for Barber Shop Appointments
13:46 Workflow of CustomGPTs and Airtable Integration
17:32 Set up Airtable, Creating a Conference Contact Database
21:56 Configure a CustomGPT as an AI Agent using an OpenAPI Specification
25:46 Testing the CustomGPT Airtable Connection in the Agent
33:52 Upgrade your AI Skills
34:34 Add Contacts to Airtable via the CustomGPT
38:17 Troubleshooting Potential Integration Errors
41:06 Conclusion: Connection Possibilities Beyond Airtable

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This video covers the step-by-step process of building AI agents straight out of LLMs, starting with simple prompt engineering! Then we advance to more complex system integrations. You'll learn how to use ChatGPT to simulate an AI agent, how to connect it to APIs, and how to manage data using Airtable.

This serves as a foundation to apply AI agents in real-world scenarios, such as managing conference contacts and automating booking systems. We’ll use the OpenAPI specification to provide “tool” access to the large language model. It demonstrates how to refine and test AI agents for optimal performance.

Some of the use-cases of AI agents include CRM, project management, and financial analysis, opening up multiple possibilities for automating workflows and enhancing productivity.

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