Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time
55
Companies
81
Key Quotes
3
Topics
🎯 Summary
Podcast Episode Summary: Ep 563: ChatGPT’s New Custom GPT’s: Advanced techniques to win back time
This episode of the Everyday AI Show focuses on advanced, time-saving techniques for leveraging OpenAI’s newly updated Custom GPTs, particularly in conjunction with the powerful GPT-4o model. The host emphasizes that recent under-the-hood updates have significantly enhanced the utility of these custom tools.
1. Focus Area
The primary focus is on Advanced Custom GPT Utilization and Workflow Automation. Specific topics covered include:
- Context Stacking: An advanced technique for maintaining conversational context across different models or specialized GPTs within a single chat session.
- GPTs Built for GPT-4o: Utilizing the enhanced reasoning, planning, and agentic capabilities of the GPT-4o model within custom environments.
- Custom Actions (API Integration): Implementing third-party data retrieval via APIs within custom GPTs for non-technical users.
- Practical Automation Examples: Demonstrating how to use these techniques for tasks like research synthesis, content planning, and identifying evergreen content performance.
2. Key Technical Insights
- Context Stacking Advantage: ChatGPT’s unique ability to switch between different models (e.g., GPT-4o, 4o mini) while retaining the conversation’s context window (up to 128k tokens on Pro plans) is a major advantage over competitors like Claude, which often force a new chat upon model switching.
- GPT-4o’s Agentic Leap: The shift to GPT-4o models within custom GPTs enables true agentic behavior—the ability to think, reason, plan ahead, and iteratively use tools (like web browsing or code execution) based on self-determined needs, something the older transformer models struggled with.
- Preserving Chain of Thought: A crucial tip for maximizing context window utility is to instruct the custom GPT in its configuration instructions to output its thought process and key findings in its final response, ensuring that critical reasoning steps are saved within the visible context for later reference.
3. Business/Investment Angle
- Bargain Subscription Value: The host strongly argues that the ~$20 monthly subscription for advanced AI tools (like ChatGPT Plus) is a “literal bargain” given the productivity gains and access to cutting-edge models like GPT-4o.
- Automation of Specialized Workflows: Custom GPTs allow businesses to codify complex, repetitive internal processes (e.g., market research analysis, content auditing) into reusable, highly specific tools, leading to significant time savings for employees.
- Data-Driven Content Strategy: The “Evergreen Episode Hunter” example shows how GPTs can analyze proprietary performance data (spreadsheets) alongside real-time web research to proactively identify and outline high-potential content updates, directly impacting content ROI.
4. Notable Companies/People
- OpenAI: The central focus, specifically regarding the updates to Custom GPTs and the introduction of the GPT-4o model.
- Dr. Ben Gortzel: Mentioned as an upcoming guest, noted for coining the term AGI, highlighting the show’s commitment to high-level AI discussions.
- Jordan Wilson (Host): The creator of the “context stacking” term and the architect behind the practical, time-saving GPT examples demonstrated.
5. Future Implications
The conversation suggests the industry is moving toward highly capable, agentic custom assistants that operate seamlessly across different data sources and reasoning steps. The emphasis on GPT-4o’s reasoning capabilities indicates that future AI adoption will rely less on perfect initial prompting and more on the AI’s ability to self-correct and iterate through complex tasks autonomously.
6. Target Audience
This episode is highly valuable for AI Practitioners, Business Leaders, and Power Users who already utilize ChatGPT Plus and are looking to move beyond basic prompting to build sophisticated, time-saving automation workflows using the latest model capabilities.
🏢 Companies Mentioned
Ahrefs
✅
ai_application
Semrush
✅
ai_application
Import Schema
✅
unknown
So Zapier
✅
unknown
But I
✅
unknown
Google Calendar
✅
unknown
Actions GPT
✅
unknown
Create New Action
✅
unknown
Create Actions
✅
unknown
ChatGPT Teams
✅
unknown
EU AI Act
✅
unknown
Regulation Reality Check
✅
unknown
Then I
✅
unknown
The GPT
✅
unknown
Like I
✅
unknown
💬 Key Insights
"So I did this—different things I can send an email, which is great because in GPTs right now with the new connectors, if you're using deep research, you can read emails, you can read your calendar, right? But you can't write."
"if you make this public, someone could, in theory, extract your API information, and if you're paying for something, they could run up the bill, right? So you never want to hardcode the API in here."
"if you're using custom actions, bringing in information from an API, then you are only able to use the GPT-4o or the GPT-4o.1 model. So there's some trade-off. So essentially, if you're going out and fetching dynamic data via an API, then you can't use the thinking models."
"The good thing is, you can use on your GPTs, you can decide what model to use. There's a model selector, but you can also set preferred methods. So maybe if you do want to build these for your team... Sometimes you might not need 4o Pro, right? If it's more of a simple, 'Hey, rewriting content,' right? Because if you're using 4o Pro, depending on what your query is, you might be waiting 10 minutes for a response when you might only need to wait 10 seconds."
"It decided on its own, this 4o model, that it kind of had to go back and revisit step one, just like a human would, right? The GPT-4o model could not do that, right? And that's why I think the GPTs originally, not saying they flopped, but they just weren't super useful, right?"
"The difference between the GPT-4 kind of, quote unquote, transformer model and the 4o series model that you can use—I mean, they're agentic in their absolutely amazing."
📊 Topics
#generativeai
143
#artificialintelligence
106
#aiinfrastructure
1