AI First with Adam and Andy

In this episode of AI First with Adam and Andy, Andy Sack and Adam Brotman unpack one of the most common questions they hear from executives: which AI model should your organization use? Andy explains why comfort, workflow, and use case matter more than brand loyalty, and why toggling between models is a powerful way to learn their strengths.
The conversation turns to the launch of Gemini 3, including Adam’s early impressions of its increased speed, stronger reasoning, and more agentic behavior. They explore what this shift means for enterprise AI and why companies should never limit themselves to a single model for every team and task.
Whether you are leading an AI initiative, managing adoption across departments, or experimenting on your own, this episode offers clear, practical guidance on building a flexible, resilient, AI-first culture.

What is AI First with Adam and Andy?

AI First with Adam and Andy: Inspiring Business Leaders to Make AI First Moves is a dynamic podcast focused on the unprecedented potential of AI and how business leaders can harness it to transform their companies. Each episode dives into real-world examples of AI deployments, the "holy shit" moments where AI changes everything, and the steps leaders need to take to stay ahead. It’s bold, actionable, and emphasizes the exponential acceleration of AI, inspiring CEOs to make AI-first moves before they fall behind.

Adam Brotman (00:00)
run off and thrash your organization by saying, I heard Gemini is great. So why aren't we using that? The truth is your team, you should set up a team that knows what they're doing. They've picked a home-based model for a reason. You've got to use policy and this is normal and everybody should take a deep breath.

Andy Sack (00:18)
This is AI First with Adam and Andy, the show that takes you straight to the front lines of AI innovation and business. I'm Andy Sack and alongside my co-host, Adam Brotman. Each episode, we bring you candid conversations with business leaders, transforming their businesses with AI. No fluff, just real talk, actual use cases and insights for you.

Greetings, everyone. Greetings, Adam.

Today we've got a mini episode on Gemini 3, which just released yesterday. It's so hot off the presses that I haven't even had a chance to play with it materially. Adam's dug in some, but what we wanted to do is just talk about if you're an executive and

there's a loud splash in the market in the AI domain, and in this case, Gemini 3, what should you be doing? And so Adam, what's your advice for executives given Gemini 3 just launched and how they should be thinking about it? And you can even personalize it to me. I'm a pretty, at this point, heavy chat GPT user. Do I need to be spending all my time now over in Gemini? Is it that much better? How should I think about that tool?

Adam Brotman (01:38)
Yeah, so it's a great question. the let's let's take it away from Gemini 3 for a minute. Let's come back to my thoughts on Gemini 3 specifically, but I'm glad you brought up the fact that there's going to be the splash that's going to happen. You probably are going to hear it in the water of AI every 45 days or so. And yesterday's was Gemini 3 splashed in and it it's a fantastic new model. It's beating everybody on the benchmarks. It's

And you can't get away from it in the news. So to your point, you're going to be like, uh-oh, what do I need? How should I be thinking about this? The first thought you should have is remind yourself if you don't already have a primary tool that your AI task force or council has authorized through some acceptable use policy for your business, that is your home base tool. Like you need to have one. So if you're hearing that splash in the water,

and you haven't yet, you don't have a home-based tool, that should be your reminder that like, you need to get a council, you need to get a use policy, you need to get a home-based tool. Because you should always be having a little bit of FOMO every time some new model comes out from a frontier system, that's not your home-based tool. you should be asking yourself the questions, Andy, you just said. But the answer is no, you should take a deep breath, realize that every 45 or 60 days or so, I think for the next,

at least the next year. I mean, it's been the case for the last year. There's no indication it's not gonna be the case for the next year. There's gonna be a chat to be T6. There's gonna be a cloud five. Like when that splash comes down, you should have the comfort if you don't already know to know, hey, it's okay. A, I've got my home base tool. And you should have a group of people at your company, a person or a task force, or an AI officer or somebody whose job it is part time to play with all the other frontier models and

understand how they do compared to your home base tool and are they better at certain things than others? Should you be letting other people should some other small group of people be able to use a different tool than the home base tool and why these are questions you should be asking yourself and it should it is going to become even more normal for a while that the frontier models are going to keep coming out making a splash being better. You shouldn't you should play with it in my opinion.

Like there are free versions of these models So you as an individual leader and executive should play with it and be thinking about that. run off and thrash your organization by saying, I heard Gemini is great. So why aren't we using that? The truth is your team, you should set up a team that knows what they're doing. They've picked a home-based model for a reason. You've got to use policy and this is normal and everybody should take a deep breath.

The second thing I'll say, just

by way of like at that level is it should be a reminder to you of how fast the space is moving. The fact that this is gonna be happening across the frontier systems. And again, it's either confirming that you've already been on an AI transformation and gotten on it, or it should be another wake up call that splash that you need to get on.

Andy Sack (04:45)
Let me just add to what you're saying, and then we'll conclude, which is I think it's pretty clear that the large language models that in general executives choose the one that they're comfortable with. And we're relatively indifferent. We do think that there are strengths and weaknesses to each one, but you can choose whatever you're comfortable with.

We happen to be predominantly a Chetubi tea shop. Gemini 3 launched yesterday. I'm excited to try it.

I probably, you know, I don't need to try it today. There's a lot of buzz in the market about it, but I will make a point of starting to use it more. And I frequently in the course of doing a project will toggle and test what is the output that if I put this in Claude, if I put this in Gemini, I'll frequently test that. And that helps me learn where the different models are stronger. I think from an ideation perspective, I Claude does a better job from a writing perspective.

of quad does a better job. But overall, I'm most comfortable in my within the chat GBT universe. And I think you should be totally fine picking your lane and dabbling with the other models, particularly as there's news that one of them has made a significant step forward. So I think that's our practical advice for today. Adam, anything you want to add before we close up?

Adam Brotman (06:06)
Yeah.

I would just say that keep in mind that this is a little bit in the weeds of how some of the things we see in a boot camp, but keep in mind that it's not our advice that as a company, as an enterprise, that you should only limit yourself to one model at all times for all people. There are models and systems and even wrapper apps that you're going to want to

not only experiment with, even give permission for different people to use at different times in your organization. So it's not one size fits all forever deal when it comes to these systems. so keep that in mind. The only thing I'd also mentioned is since we said this is about Gemini 3, I did use it. It is pretty amazing. It is more agentic, in my opinion. It does seem to think a little faster and a little better for a little longer and kind of hold the thought and

and starts to feel like it's a little mini employee doing a task, which is what an agentic kind of system would feel like. And so I do think we continue to see these systems as they progress become more agentic and go from just basic reasoning models and thinking models to really feeling like they are a little agent for you. I can't wait to, by the way, use Gemini 3.0.

in Notebook LM, for example, because I know that they typically will swap out whatever model is under the hood of Notebook LM for the latest model. I can only imagine how good Notebook LM will be as a defined source research engine with this kind of a new capability under the

Andy Sack (07:48)
Awesome. Well, with that, have fun playing with Gemini 3. Thanks for listening to AI First with Adam and Andy. For more resources on how to become AI First, you can visit our website, form3.com.

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