Google's Nano Banana is an INSANE AI Image Editor (FULL Demo)

Join me as I chat with Logan Kilpatrick about Google's new Gemini 2.5 Flash Image model (Nano Banana), he showcases its capabilities for image generation and editing. We explore practical applications including creating marketing assets, product placement, and interactive experiences, all accessible through Google's AI Studio platform. The conversation highlights both the technical capabilities and business opportunities for developers or vibe coders to build innovative products with this technology. Timestamps: 00:00 - Intro 02:34 - Nano Banana Overview 04:55 - Demo of AI-generated product ads 10:06 - Demo of Social Assets 11:41 - Demo AI-Generated Mockup Generator 15:05 - How to edit image with prompting 18:45 - Best Practices for Prompting 21:18 - Product placement demonstration 23:04 Three Levels of Using the Model 25:54 - Why you should start using Nano Banana now Try Nano Banana: https://startup-ideas-pod.link/nano-banana Key Points: • Logan Kilpatrick demonstrates Google's new Gemini 2.5 Flash Image model (nicknamed "Nano Banana") • The model excels at fast image generation and editing with impressive quality at low cost (about 4 cents per image) • Multiple product applications are showcased including ad creation, image editing, and interactive experiences • AI Studio provides free access to experiment with the model through chat and pre-built applications • Developers can "vibe code" custom applications using the model's capabilities The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK Youtube: https://www.youtube.com/@LoganKilpatrickYT LinkedIn: https://www.linkedin.com/in/logankilpatrick/

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Greg Isenberg?

  I'll say it, Nano Banana, Google's new image model is the best image model to ever exist. It's what we all wanted out of an image model. You can place products, you can keep characters consistent, you can change scenes, you can edit specific parts with full control. It's basically like Photoshop, except you don't need to hire someone to go and edit. You just use plain language. So I brought on Logan Kilpatrick, who works at Google, who's senior at Google on the AI team, to give us a tutorial with how to get the most out of it. And it's important to me that I brought him on because I think that there's going to be a lot of people who make a lot of money from this specific model. They're going to be able to create content that's scroll-stopping from this

• 0:45Greg Isenberg?

  model. They're going to be able to create ads that convert from this model. They're going to be able to create SaaS startups using Nano Banana. You need to watch this episode. This is an incredible demonstration of a new technology, and I can't wait to hear what you think.

• 1:10Greg Isenberg?

  Logan Kilpatrick on the podcast. What are we going to talk about today?

• 1:15Speaker 01

  Greg, I'm excited. We're talking about Nano Banana, aka Gemini 2.5 flash image, which is our new Gemini state-of-the-art image generation and specifically image editing model, which folks are loving and no pun intended, going bananas for right now. So I was hoping we could just see a bunch of examples of the model in action. We could actually build some stuff live and like vibe code something and show people like what are the actual product applications, what are the types of companies and things that you could build around this new model.

• 1:46Greg Isenberg?

  By the end of this episode, what are what are some tangible things that people are going to get out of it?

• 1:51Speaker 01

  Yeah, hopefully you'll see like what are the model's capabilities, what does it actually work really well at? And hopefully like what are like five or six different ideas of how you might actually bring this model in and start building a product or, you know, integrate into your existing product or build a new product around this model and put it in production.

• 2:08Greg Isenberg?

  Beautiful. Let's, let's, let's go.

• 2:11Speaker 01

  Awesome. Maybe I can share a screen really quick and we can just look at some basic examples. Let me pull up a tab.

• 2:21Speaker 01

  Of AI Studio and we'll see the model in action. So you can use them all for free. It's on AI Studio. If you haven't used AI Studio before, it's our platform for developers and AI builders to go and try a bunch of things. You'll land in this experience. You'll see if you're a normal AI Studio user and you've used the product before. We just landed a bunch of other updates. We'll talk about that some other time. The fun thing and the cool thing is we have the sort of two Gemini native image experiences. One at this like top level, when you land, you can just like do a bunch of prompting. There's the model dropdown on the right hand side here and you can ask the model to do a bunch of silly goofy stuff.

• 3:03Speaker 01

  I'll make a quick comment, which is like the speed of this model is something to think about. Like there's a lot of these like editing experiences or these generation experiences that you can't usually build just because like it takes 45 seconds and like our user is really going to sit there and wait while the thing is generating. So there's like a, there's an interesting like product edge angle that you can have around just how fast this model is. It's also only like, I think it's like roughly four cents for an image to be generated too. So it's like, you know, you can let people go wild and you're not going to break the bank, which is really great. It's like a thousand images is 40 bucks. So this is the basic experience. The cool stuff is in this build tab here, which we don't talk a ton about, but it showcases

• 3:46Speaker 01

  a bunch of these like demo apps and shows, shows the new model capability, Nano Banana actually in, in action and in practice. So we've got options, Greg. What do you want to look at? We could try this like image filtering use case, which is really, or this like live Gemini. I think it's called like Gem Booth or something like that. This, this could be an interesting one where you can like take a picture and use, you know, some, a bunch of these different filters and it'll, it'll showcase all these things in action. We could try building something live. What do you, where's, where's your head at? We were talking off camera about, interesting, we were talking off camera about.

• 4:31Speaker 01

  Like, you know, creating marketing copy and stuff like that is like, is some of our marketing, like imagery is something that could be potentially interesting. So I'm happy to go in whatever direction you think is most fun.

• 4:43Greg Isenberg?

  Yeah, I mean, I think, you know, when new models drop, I'm always interested in, you know, how can this give me an unfair advantage, either from building a product or using this for a marketing asset to get more customers. So on the marketing side, like, you know, yeah, here we go. AI ads.

• 5:01Speaker 01

  AI ads. AI ads are where it's at. So I built this literally as we were sitting here talking off camera about sort of being able to drop in a product picture and then turn it into a bunch of different ad formats. So here, when you upload, I'll go and upload an image and I'll take the new picture of the Google Pixel 10. And then this is completely vibe coded. You can see, this is literally one shot as well. You can see my prompt in the top left hand corner. And so we have a bunch of different things now. So we can do like a luxury magazine spread or subway interior. I actually, could we do subway interior ad? Just because I see like the Notion ads all the time and they're showing them in the subways and I'm always envious of the Notion people for, for doing that. So maybe we could try that one.

• 5:47Greg Isenberg?

  Let's do it.

• 5:47Speaker 01

  Awesome. I won't see. And so this takes the, there's a prompt behind the scenes. It takes the image of the, of the Google Pixel 10 and hopefully we'll see it in a subway. Awesome. I feel like it's reasonable that you might actually see something like this in the actual, in an actual subway somewhere. This doesn't look that fun of a subway, but the pixel, the pixel is shining in this example. So maybe we'll try one more. And then, actually, I've got an idea for remixing this, which I think could be really cool. So maybe we'll try.

• 6:21Greg Isenberg?

  Sam Altman, the co-founder of OpenAI, just said that it is the era of the idea guy, and he is not wrong. I think that right now is an incredible time to be building a startup. And if you listen to this podcast, chances are you think so too. Now, I think that you can look at trends to basically figure out what are the startup ideas you should be building. So that's exactly why I built idea browser.com. Every single day, you're going to get a free startup idea in your inbox, and it's all backed by high-quality data trends. How we do it, people always ask, we use AI agents to go and search, what are people looking for? And what are they screaming for in terms of products that you should be building?

• 7:06Greg Isenberg?

  And then we hand it on a silver platter for you to go check out. We do have a few paid plans that take it to the next level, give you more ideas, give you more AI agents and more, almost like a chat GPT for ideas with it. But you can start for free, idea browser.com. And if you're listening to this, I highly recommend it.

• 7:28Speaker 01

  I feel like this is a little bit edgier, but an urban mural ad. I feel like mural ads, I always look at murals because I don't feel like advertising. So there could be something, there could be something interesting, which I really like. This is actually cool. I wish

• 7:42Greg Isenberg?

  That's cool.

• 7:43Speaker 01

  Companies did this.

• 7:44Greg Isenberg?

  That's really cool.

• 7:44Speaker 01

  Yeah.

• 7:45Greg Isenberg?

  And that's, and this is the type of thing that you can put on social. Like, if you're not Google and you're a team of 20 people or even less, like you can put this on Google, I'm sorry, you can put this on X or something or Instagram, and people will be like, whoa, like, where's this mural?

• 8:01Speaker 01

  I love it. And then it actually creates this flywheel where you're like, wait, maybe we should actually do a mural in real life. Like, this is kind of sick. So what I, what I like about this is just like how well the model like fuses this onto an actual like real world setting. I think the thing that's missing is, in this example, like I have a picture of my product that I want to generate ads for, and in this case, it's the Google Pixel 10. But it's missing like the, I know it's the Pixel because there was just some event that happened and I watched it. But someone walking by this might not actually know. So you're kind of missing the like, marketing tagline or like some additional context. So I'm actually going to ask the model to

• 8:43Speaker 01

  Like add that in as part of it and we'll use the model's native capability to like embed that text into the actual ad that it's creating itself. So I'll try to come up with a coherent prompt for this on the fly, which is something like, okay, this is great. However, I want to add in a marketing, and this is maybe a bad example. You probably don't want like a marketing slogan, but we'll say you want to add a marketing slogan to the image itself in text. So that when people see the ad, they don't just see the product.

• 9:32Speaker 01

  They also see the marketing slogan.

• 9:40Speaker 01

  Make it so I can manually add this.

• 9:47Speaker 01

  UI or optionally let the model make one up for me.

• 9:58Greg Isenberg?

  Even better.

• 9:59Speaker 01

  Yeah, I'm like, I don't want to come up with marketing slogans. Let the AI do the work for me. That's what I'm paying tokens for. So maybe while we look at that one, I'll show just like another example that I was messing around earlier today and was inspired by a show on X and was seeing their like social assets that they're putting out. And this example that I did was I took a social asset that another that TBPN had created and I basically vibe coded an app in a single prompt to say like, hey, based on this asset, make me, you know, be inspired by this theme and this style to like, help me make assets that are something like that.

• 10:45Speaker 01

  So this was inspired by the Taylor Swift engaged one. If anyone saw that on X today, that the folks at TBPN put out. But so I'll do Logan Kilpatrick shipped nano banana.

• 11:03Speaker 01

  And we'll generate this and this will make me a couple of like cool social assets in the theme of the TBPN. So you could go in and change this theme with whatever like Greg, I don't know if you have like a bespoke social asset character that you really like. But literally all of this is 100% vibe coded. This is using the model behind the scenes and it's actually like generating these assets and like dramatically makes it easier if you have like a consistent style as a brand or as a company and you're producing these types of social assets, you can get lots of like cool content remixing by using this model and like building your own generator to do this as well.

• 11:42Greg Isenberg?

  Yeah, and I think, you know, why this is interesting and why, to me at least, is, you know, social content is about scroll stopping content. And yes, you can put that image of you, which is a beautiful image. You look great.

• 11:56Speaker 01

  Thank you.

• 11:56Greg Isenberg?

  But, you know, there's, there's something about that extra layer of wrapping it in a story that gets you more awareness within the algorithms, gets you more likes, gets you more replies, which helps ultimately get more customers to whatever it is you're doing, get more brand awareness. So I think that, you know, in the past, what did you have to do to do this? You had to hire someone who understood Photoshop, maybe, right? You know, that you now you could just do yourself.

• 12:29Speaker 01

  Yeah. And I think there's, there's another layer of this. And I think about this a lot, which is like, what happens when you as the person who like has a story to tell or like some idea, you have to like put it through this translate, this translation layer, especially when the translation layer is sometimes like a, you know, a bunch of people or something like that, you lose a little bit of the fidelity of the story. And that's why this like whole AI assisted tools to help you is great because like I get to iterate on this idea and make sure that the tool that I'm using is like actually telling the same story that I'm telling from a fidelity standpoint. So I, I love this example. I'm curious to see the other vibe coded,

• 13:09Speaker 01

  the mocks, where we are with the mocks. So I'll go back and I'll put in this pixel and we'll see. Okay. So I'll let it come up with the slogan and hopefully it's not, hopefully it's not horrible. And maybe.

• 13:24Speaker 01

  Co- our ads and co-working spaces, maybe apparently cafe product placement. Curious, any of these stand out to you as interesting?

• 13:33Greg Isenberg?

  I mean, luxury magazine spread to me is actually the most.

• 13:37Speaker 01

  Let's try it. Let's try it. I don't know if there's any luxury magazines out there that people still buy, but we'll find out what it looks like when the pixel with ideally an AI slogan shows up.

• 13:49Speaker 01

  Let's say, okay, created crafted for tomorrow, inspired by you. I like that. That's pretty good.

• 13:56Greg Isenberg?

  Actually, that's actually pretty like subversive and it's actually good. Like it says nothing, but says a lot at the same time, which is kind of what you want.

• 14:05Speaker 01

  Yeah, that is great. Hold on. I want to try one more just because I'm sort of inspired by what slogans we're going to come up with. Any of these other ones seem interesting?

• 14:17Speaker 01

  I kind of like the vibe of the rainy bus stop ad, but I don't know how effective bus stop ads are.

• 14:25Greg Isenberg?

  Yeah, I don't know. I don't know.

• 14:27Speaker 01

  We'll try it. Let's see.

• 14:28Greg Isenberg?

  Yeah, let's try.

• 14:29Speaker 01

  Well, see, I also wonder if it's like taking the context of the bus stop ad to then come up with the slogan. Like, are you gonna, is it going to give us like a water resistance story or something like that? No slogan, but we did get an AI generated Google logo, which I guess that's the slogan in of itself is it's Google. We're selling the pixel.

• 14:50Speaker 01

  Well, I wonder how intentional the model was about that effort. It's just missing the point. Either way, I love this example. I think it's, there's definitely something here to push on and it showcases the model's capability in action, which is awesome.

• 15:04Greg Isenberg?

  What if you like, okay, so let's just say you wanted to edit this image. Like, how do you actually edit it from here with natural language?

• 15:13Speaker 01

  Yeah, that's a great example. So in this experience that we're in right now, I think it's kind of hard. But let me actually just like take the image out of here and then we'll go into another example. So you could either, you have two choices. We could either just like go back to the main chat UI. And I could dump the image in and start doing a bunch of stuff. So we could try that first, actually, and we'll see. So maybe I say, make me a slogan or let's do.

• 15:43Speaker 01

  Add the slogan.

• 15:48Speaker 01

  Pixel. The phone.

• 15:54Speaker 01

  For AI nerds, I don't know, I'm sure the Pixel people won't appreciate it, but add the slogan Pixel the Phone for AI Nerds under the image of the Pixel.

• 16:08Speaker 01

  And let's see what it comes up with.

• 16:12Speaker 01

  So this is the like most lightweight version of this where you could come and do this. I do think there's something for like, you want to have a little bit more like product scaffolding around this to kind of help you if you wanted to like, you know, have a paintbrush to like, highlight something or circle an area like none of that exists in this default experience, but you can build all those things bespoke in that build tab that we were in before. You just need to like prompt and say like, now add a bunch of like creative tools. And we actually have an example of this as well. But if we look at this Pixel, the phone for AI nerds, it looks great. I feel like that's like a reasonable, a reasonable outcome.

• 16:48Greg Isenberg?

  A hundred percent.

• 16:50Speaker 01

  Yeah, I'll show you this other example too. We can see what it would have been like. We can go to this Pixshop photo editor example. So I'll upload. Now, actually, I'm going to upload the picture of, yes, this one. And then, so we have a bunch of different options here. So we could try filters. This is again, this is like a vibe coded pre-built set of different filters or like tools that you might want.

• 17:24Speaker 01

  So you can like retouch, click an area of the image to make a precise edit. So I could say, let me see if that actually works.

• 17:34Speaker 01

  I could say, remove the Google logo from here. Let's see if it works. This is vibe coded, so you know, batteries included, but also sometimes the batteries are in the wrong position. So we need to not, okay, awesome. It actually works and it did hallucinate a little bit and end up removing the logo from the, from the, the middle of the phone. But I think generally gets at like, you get these like creative tools out of the box, which is pretty cool.

• 18:03Greg Isenberg?

  That's awesome.

• 18:06Speaker 01

  Yeah, I want to try a filter as well. And again, we could change this to say like, hey, here are the 10 filters I want, or come up with 10 filters, or come up with, you know, a way to like add a text box to it or something like that. So there's like all this like infinite content customization. And I will make another note that all of this experience that we've looked at so far is completely free. So you can do all this, like, you know, ideally you build a great product with this and you end up using the Gemini API and all that stuff, but like you don't, you don't necessarily need to. The experience is free. There's, there's no gotcha. You can come in and play around with all this stuff and vibe code it all and try out the models and doesn't cost anything, which is awesome.

• 18:45Greg Isenberg?

  You know, is there any best practices in terms of prompting to get, you know, the most out of, out of the product?

• 18:51Speaker 01

  Yeah, it's a great, it's a great question. I think there's, and I don't, I don't know if I, I'll just throw another example up on the board or on the, on the screen as we, as we talk through this. I think some of the limitations are around the complexity of what happens when you do like multi-turn.

• 19:14Speaker 01

  When you ask for lots of edits in a single turn. I think the like best way to do this is to be like, like very precise, single turn edits. The model is capable of like doing multiple things in a single turn if you're, if you give precise enough instructions, but I think it oftentimes like kind of loses the gist of what you were trying to say if you like layer multiple instructions together. It is, it is also like, it's worth noting, this model is powered by the, the same Gemini 2.5 flash model that like we released earlier this year. So it does have a lot of world knowledge. So you, you, you should assume it is like a smart creative partner in many ways. But just like any other, if anyone's ever done like, uh, worked with like a random, you know, sort of creative.

• 19:58Speaker 01

  Contractor on the internet like you oftentimes don't get I just went this recently where I like wanted someone to design a bunch of T shirts for me and I had sent them a bunch of stuff and I got their I got the results back and I was like yeah this isn't what I wanted and then I went back and looked at what I what I said and it was like oh yeah it's very clear that I gave bad instructions which is why I'm not happy with what the outcome was um so I do think that that same the same story applies to this which is like be precise about what you want um try to block these into like small um a small like multi-step edits as possible um the model doesn't like the image quality doesn't get worse as you like do a multi-turn edit so like you don't need to get everything right on the first edit so all that's possible um and this example that I just pulled

• 20:43Speaker 01

  up is like another really cool one which is like AI home design I think is this like huge ecosystem I just was helping my girlfriend um decide what color blinds she wanted inside of her office and it was like a great we were like I don't know like is there an app that's gonna do this I was like I don't know we'll just make one right now and it literally took 30 seconds and then we took in an image and then she literally scrolled through all 37 different flavors of the color green for what her blinds might or her curtains might look like and she was like that's the one I want straight on to you know on to Amazon to go and buy those curtains so it was so much possible with this

• 21:19Greg Isenberg?

  Can we see how this works?

• 21:20Speaker 01

  Yeah, this is a great example so if we upload the um if we upload a scene and I need to go and like find a good one um let me see so this is a picture of Demis and I talking um and I will upload a product now and we'll do this this is kind of a contrived example because I don't have a bunch of good um I don't have a bunch of good examples nearby but let's see what happens uh so the product this this is actually a really good example of assuming it works um this is a great example of like the model's world knowledge coming into play um so we have the scene on the right which is Demis and I sitting in some chairs in the library in London the product on

• 22:04Speaker 01

  the left is actually the ad that we generated before um using AI and um the the interesting thing is there's like other stuff visible in this image so there's you know a car and a bunch of people and umbrellas and a bus stop so like the model has to make some assumptions about like what is the actual

• 22:25Speaker 01

  Product that the user is asking for. So if we go and drag this over,

• 22:31Speaker 01

  let's see what, let's see what happens. Hopefully it does something reasonable with this. And I actually also realized that I'm supposed to draw the, oh, that's actually great. So I dragged this image over and it took the screenshot.

• 22:49Greg Isenberg?

  That's amazing.

• 22:50Speaker 01

  Yeah, it took the image and it like set it on this little table that was sitting between Demis and I. And now there's like a little product placement for the Pixel 10 that was pulled out of this broader image that we had just created.

• 23:03Greg Isenberg?

  That's crazy, dude.

• 23:05Speaker 01

  Yeah, this, I mean, there's, there's so much possible of, of what you can do with this stuff. I think, and that's, I mean, just to opine on this point of like, why, why we have this experience that like lets you interactively see, because it's like seeing is believing. Like, I think you can like, the like chat experience is cool, but like sometimes they'll like, it like gets my gears turning in a different way to like, see the experience like come to life in this way of like interactively interfacing with the models beyond just chatting with them. I think, I think lands the point of like just how capable the models are in a bunch of these different contexts.

• 23:40Greg Isenberg?

  Yeah, to me, what I'm hearing from you, and correct me if I'm wrong, is there's almost like three levels of playing with the models. One is just to use chat. That's like level one, the simplest way. Anyone can get started. Chat, understand how it works. Level two is using, going in the build tab and seeing what some pre-created vibe-coded apps that you can go and use and create some value with. And then, you know, once you get a little

• 24:08Greg Isenberg?

  used to that, then it's like, okay, I understand what this, maybe the home canvas thing does, but there's some limitations for whatever my use case is. Therefore, I want to create some, you know, personal software based on my needs. And then that's probably where most, in my opinion, that's where most of the unlock for the people listening to this show, founders, business builders are going to get, building their own vibe-coded apps using some of these models.

• 24:36Speaker 01

  Yeah, 100%. And then like when you, the, you know, you have all the controls that you need. When you go and like do your vibe-coded app, like if you want to just like go and deploy it and share it with a bunch of people, or move it over to GitHub, or download the code and like move it to Cursor and like keep vibe-coding with it, or like whatever your flow is, you should be able to like continue on with that experience. It doesn't need to stop in AI Studio. Like we've designed it so that it shouldn't stop in AI Studio. You should be able to like go and use whatever tools you want, build in whatever ecosystem you want. But we want to help you get started, and I think this is, hopefully, hopefully this is helpful. We're also, I was talking to our team earlier today, like we're very

• 25:16Speaker 01

  early in the story. So as much grace as you can give us in this experience, there will be rough edges. Send us the feedback. We've got a ton of stuff coming in the next few months. And also a ton more coming on like models like Nano Banana, which is exciting. So hopefully, hopefully we'll see more progress. And if there's examples that don't work well, and there's like things you wish the model could do for your use case, like please my emails on the internet. Go and send me an email. Like those, those are the best emails of like, I'm trying to build this crazy product. It's not possible today. It doesn't work. I wish the model could do X, Y, and Z thing. Like we'd love to help make the model work for whatever products people are trying to build.

• 25:54Greg Isenberg?

  And before we, we sign off, you know, why should someone play with Nano Banana today? And not in six, you know, not the next model in three, six months? Like why, why log into Google AI Studio today and start playing with it?

• 26:11Speaker 01

  Yeah, I think there's this. There's this competitive advantage piece, which is like there's, you know, the number of people who know that this model exists and are building things with it is rather limited. So if you're, if you're sort of early to the wave of creating the product experiences around this, I think like my broad take is there's a huge amount of consumer interest in this type of use case. And if you look at like what products are available to actually like serve customers who are interested in this, it's like pretty limited. It's probably like a handful of products that actually exist. So if you build something and are thoughtful about it and get into the hands of people, I think you're going to have this like holy crap experience from a lot of your users that they just haven't experienced something like this before.

• 26:54Speaker 01

  If you show the average person on the street that this is possible, they're gonna, it's gonna blow their mind. So I think there's some urgency to build that experience because lots of folks are gonna try.

• 27:04Greg Isenberg?

  All right. I believe it. Logan, thanks for coming on the show. We're gonna have to have you back when new stuff comes out, which seems like you guys are shipping like crazy. So I bet that sooner than later, please, please comment if you'd like Logan to come back. And if you enjoyed this episode and like this video, if you want more of this in your feed, I'll include links to follow Logan on his social, you know, on social. And, and we'll include a link to, to, to get going on Google AI Studio.

• 27:39Speaker 01

  AI.studio slash banana. You can try the model out. AI.studio slash apps if you want to go and build and see all the stuff that we've built. So hopefully the links make it super simple for folks to get started.

• 27:50Greg Isenberg?

  Super simple. Thanks, man. I appreciate you.

• 27:52Speaker 01

  I love it, Greg. See ya.