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Everyday AI Podcast – An AI and ChatGPT Podcast

EP 612: ChatGPT Connectors: What they are and why you NEED to rely on them daily

47 min•17 september 2025

Remember RAG? 🤔

When companies would spend multiple six or seven figures (and sometimes a year or more) trying to connect their enterprise data to LLMs?

Now there's an easier way. 

ChatGPT connectors. 

In a few seconds, you can get like 80% of RAG's power for like free 99. 

Yet... so few people actually use them. 

Let's change that and put AI to Work this Wednesday. 

ChatGPT Connectors: What they are and why you NEED to rely on them daily -- An Everyday AI Chat with Jordan Wilson


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Topics Covered in This Episode:

  1. ChatGPT Connectors Overview & Basics
  2. Connectors vs. Traditional RAG Comparison
  3. Setting Up and Using ChatGPT Connectors
  4. Supported ChatGPT Connector Integrations List
  5. ChatGPT Connectors Security and Permissions
  6. Modes: Chat, Deep Research, Agent, Synced
  7. Real-Time Data Access with Connectors
  8. Multi-Connector Workflow and Productivity Tips
  9. Business Use Cases for Connectors
  10. Connectors vs. RAG: Cost and Deployment
  11. Model Context Protocol (MCP) & Custom Connectors
  12. Time-Saving Connector Examples and Demonstrations
  13. Connector Best Practices for Enterprises


Timestamps:

00:00 "AI Weekly Workflow Overview"

04:31 "ChatGPT Data Connectors Explained"

09:05 Efficient App Connectors Overview

10:12 "Enhancing Outputs with Language Models"

13:14 "Gmail and Google Calendar Sync"

18:36 "Setting Up AI Connectors Protocol"

21:57 "GPT-5: Versatile Data Integration"

24:05 "Optimize Connector Usage"

27:37 Organizing and Formatting Information

32:03 "Agentic Model Streamlines Document Tasks"

34:05 "Optimizing HubSpot with GPT Connector"

39:08 AI-Powered Task Automation Benefits

41:16 "Maximize AI with ChatGPT Connectors"

43:04 "Maximize AI with Data Connectors"



Keywords:

ChatGPT connectors, ChatGPT connector, connectors for ChatGPT, AI connectors, custom connectors, model context protocol, MCP, sec

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