If you’ve been following along, you might’ve read my breakdown of ChatGPT Projects vs. Custom GPTs last week. That blog was all about clearing up the confusion and showing how each tool works in real-world sales, marketing, and team productivity use cases. But after I posted it, something interesting happened, I started getting questions. A lot of them. And nearly every question could be grouped into two categories: “Can I share this?” and “Does it remember stuff?”
So today, I want to answer the top question I get about each—one for Projects, one for Custom GPTs. These aren’t just technical clarifications; they’re the kind of questions you ask once you’ve actually started using the tools. And I love those kinds of questions because it means you’re out there experimenting, pushing buttons, and getting your hands dirty. That’s how you really learn ChatGPT.
What People Ask Most About Projects
The most common thing I hear about ChatGPT Projects is this: “Can I turn a Project into a usable tool for my team, or is it just something for me?”
This is such a good question, because once you build something inside a Project—a sales script generator, a weekly content planner, or something else—you naturally want to share it. And here’s the reality: Projects are not currently shareable in the way Custom GPTs are. There’s no “publish” button that makes your Project available to teammates or the public. The good news is, OpenAI has stated that sharing and collaboration are on the roadmap.
But here’s where it gets fun: Projects are the perfect sandbox. They’re your personal AI workshop, and once you’ve built something that works, you can absolutely convert that structure into a repeatable process for others. The best way I’ve found to do that is to take the logic, prompts, and flow you developed inside your Project and then rebuild it as a Custom GPT. You just lift the thinking, reformat it slightly, and suddenly you’ve got a branded assistant you can hand off to a rep, a marketer, or a new hire.
Think of it this way: you build inside Projects to work out the ideas. Then you package them into a Custom GPT to scale those ideas. I did this recently with a cold call script builder. I first used a Project to test out prompts, tone variations, and audience tweaks. Once I got it flowing the way I wanted, I turned that same structure into a Custom GPT called and sent it out to the team. Now everyone has access to the same logic without me having to explain it over and over.
You can also document your Project flow and share it as a manual or prompt pack. If you’re not ready to build a GPT, just list out the steps in a Google Doc, and now your team has a plug-and-play playbook they can run directly inside their own ChatGPT sessions. It’s not as flashy, but it works—and sometimes speed beats style.
What People Ask Most About Custom GPTs
On the flip side, the biggest question I get about Custom GPTs is: “Can it remember things like pricing changes, sales goals, or my last conversation?”
And this is where expectations often get ahead of current reality. Right now, Custom GPTs don’t have memory the way your default ChatGPT assistant does—at least not automatically. They won’t “remember” that you told them about the upcoming product price change unless you include that info in the setup.
But here’s the good news: you can make Custom GPTs act like they have memory by setting up their Instructions properly and uploading files. This is where your rep-specific playbooks, product updates, or objection docs come into play. When you feed that information into a Custom GPT, it becomes part of its working brain, and it will prioritize that content in every response it gives. It won’t remember things you casually mention in a one-off conversation, but if you build it with intentional inputs, it will respond like it’s locked into your brand’s DNA.
So, no, Custom GPTs by default won’t recall your chat from last week, but they will consistently apply your brand tone, product specs, pricing, or sales process—if you give them the tools to do it.
Wrapping It All Up
The truth is, both of these tools—Projects and Custom GPTs—are powerful in their own right, but they become really powerful when you use them together. Projects are where you build the recipe. Custom GPTs are where you serve the meal. One helps you test and refine the process; the other lets you distribute it at scale.
That’s the approach I’ve taken with my own AI workbench: build ideas inside Projects, stress-test the prompts and instructions, experiment with the flow—then turn the best of them into fully operational GPTs I can hand off to team members. It keeps me agile, and it keeps my tools aligned with how real teams actually work.
If you haven’t played with both yet, you’re missing out. If you have been playing, keep going. And if you need help turning your ideas into something scalable, shoot me a message. This is the fun part—figuring out what AI can do when you shape it around your workflow, not the other way around.
— Scott MacFarland
YourBrandExposed
Sources:
Image generated by OpenAI’s DALL·E
Ariel Brown Video Commentary
