Google AI Studio Deep Dive: From Vibe Coding to AGI with Logan Kilpatrick
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So we built three apps in AI Studio on the show a couple weeks ago, but it feels like we've only unlocked maybe 10% of what this thing could do. So today, we're going to be joined by Logan Kilpatrick from Google DeepMind to explain the rest. Welcome humans to the latest episode of the Neuron AI Explained. I'm Corey Knowles, joined as always by Grant Harvey. How's it going today, Grant?
Doing good, doing good. How are you, Corey?
I'm doing good, doing good. Really excited about this call. How about you?
Oh yeah, I cannot wait. I'm a big fan of Lovin, so getting to talk to him and pick his brain about everything AI Studio is going to be a serious blast.
It is, and I think there are so many things we could really dive into because Google's got, you know, one of the interesting things about Google right now is they have a million things going on. Oh, yeah. It's like they're constantly shipping something. It may not be a thing we're ever going to touch. It might be specific to researchers in biomedical fields or something, but there's pretty consistently something always coming out of their AI labs.
Yeah, I mean, Google has so much stuff, let alone the Gemini app, AI Studio. They've got Notebook LM. They've got their Google Labs, where they're creating all this experimental stuff. They've got their Gemini command line tool. They've got Firebase Studio. They've got Jules, which is a new background coding agent. They've got Colab. I mean, there's a lot going on. There's a lot going on. So yeah, AI Studio is definitely just like the tip of the iceberg, but it's one of the coolest holistic interfaces that Google has. And I think that's why a lot of people are drawn to it and they really like using it.
I agree. I think if you're a person who likes to play with what's next, Google AI Studio is like their little free lab where you can go do that. And it's absolutely worth your time to check it out and just try some things and what's on their changes from time to time.
Yeah, and from the little we've seen of Logan's tweets, it looks like they're going through a big redesign. So there'll be a lot of exciting stuff coming soon.
And on that note, let's get on over to the interview. Well, today we have an extra special guest. We're going to be joined by Logan Kilpatrick of Google DeepMind. Logan is the lead product manager on Google AI Studio and Gemini API. And some of today's episode might be a bit more technical than what we usually talk about, but hang in there because there's a lot of really, really great stuff to learn about some awesome tools that are coming out of Google DeepMind right now. So Logan, welcome to the podcast.
Thanks for having me. I'm excited. Long time, long time reader and listener. So this will be fun. I'm excited.
Excellent. Well, we actually demoed AI Studio a couple of weeks ago on our show and built three apps with it. But honestly, felt like we were just barely scratching the surface because, you know, it's a podcast. We're trying to see what we can do live in one hour and make happen. How do you personally use AI Studio? Like what's your go-to workflow when you want to build something?
Yeah, we were talking right before this off camera about sort of the transitionary period that AI Studio is going through. So we have a traditional playground experience where folks can sort of experience the models and see what they're capable of. And the whole point is to sort of help you as a developer or an AI builder build an intuition and a mental model of like, what are the Gemini models? And actually more broadly than just Gemini VO, imagine what are Google's models capable of doing? And I think the like builder 1.0 era was the way to do that was in this playground type of environment. I think we've actually moved on beyond that now where like now people uh, are, are testing the models in different ways.
And that's the way we now, we, I think around like IO this year, um, or even it might've been even before that we, we released this, um, this build tab on the left-hand side of AI studio, where you can go in and actually have the model, like build you an entire app.
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