EP 598: Nano Banana! Real Use cases for Google’s new Gemini 2.5 Flash Image

Topics Covered in This Episode:

1. Gemini 2.5 Flash Image (Nano Banana) Reveal
2. Benchmark Scores: Gemini 2.5 Flash Image vs. Competition
3. Multimodal Model Capabilities Explained
4. Character Consistency in AI Image Generation
5. Advanced Image Editing: Removal and Object Control
6. Integration with Google AI Studio and API
7. Real-World Business Use Cases for Gemini 2.5
8. Live Demos: Headshots, Mockups, and Infographics
9. Gemini 2.5 Flash Image Pricing and Limits
10. Iterative Prompting for AI Image Creation
11. 
    

Keywords:

Gemini 2.5, Gemini 2.5 Flash Image, Nano Banana, Google AI, Google DeepMind, AI image generation, multimodal model, AI photo editing, image manipulation, text-to-image model, image editing AI, large language model, character consistency, AI headshot generator, real estate image editing, product mockup generator, smart image blending, style transfer AI, Google AI Studio, LM Arena, Elo score, AI watermarks, synthID fingerprint, Photoshop alternative, AI-powered design, generative AI, API integration, Adobe integration, AI for business, visual content creation, creative AI tools, professional image editing, iterative prompting, interior design AI, infographic generator, training material visuals, A/B test variations, marketing asset creation, production scaling, image benchmark, AI output watermark, cost-effective AI images, scalable AI infrastructure, prompt-based editing, natural language image editing, OpenAI GPT-4o image, benchmarking leader, visual quality AI, blind competition, developer access AI

Podcast Transcript

Jordan Wilson [00:00:16]:
Nano Banana is no longer a mystery. So if you follow AI at all, you've probably seen the very viral images making their rounds of some mystery AI image model called nano banana. And after some not so subtle, hints from the Google team over the last two weeks, it was finally released on Tuesday. So, the real name, although I kinda wish they just kept it as nano banana, is Gemini 2.5 flash image. So on today's show, we're gonna be going over it's Wednesday, so we're going AI at work on Wednesday. So we're gonna be going over, hey, great timing. What's new in Gemini 2.5 flash image, and also giving you some real use cases and live demos for this impressive new model from Google Gemini. Alright.

Jordan Wilson [00:01:15]:
It's time to go bananas. I told myself I wouldn't do this. Make banana jokes. Let's leave it there. Welcome. What's going on, y'all? My name is Jordan Wilson. Welcome to Everyday AI. If you're new here, we do this thing every single day, Monday through Friday.

Jordan Wilson [00:01:30]:
It's unedited, unscripted. I like to say it's the realest thing in artificial intelligence. It's a daily livestream podcast and free daily newsletter helping us all keep up and get ahead when it comes to all of these AI updates. They're coming at us faster than bananas in the old Donkey Kong game. Ah, another one. Alright. So if you haven't already, please make sure to go to your everydayai.com. Sign up for the free daily newsletter.

Jordan Wilson [00:01:52]:
We're gonna be recapping the highlights from today's show as well as everything else happening in the world of AI, to keep you ahead of the game. So if you want the AI news, that's gonna be in the newsletter. So let's get straight to it. Nano Banana is no longer a mystery. Google did have a pretty splashy announcement of their very impressive new Gemini 2.5 flash image model. So on today's show, we're gonna detail what's new in Nano Banana, a k a Google's new image generating model, Gemini 2.5 Gemini 2.5 flash image. We're gonna do a live demo on this AI at work on Wednesdays, and we're gonna end the show with five helpful use cases that both nontechnical and noncreative people can take advantage of. Right? I think one of the hardest things when it comes to AI is number one, there's, like, 50 new things a day.

Jordan Wilson [00:02:49]:
But number two, it's like, okay. How do we actually use this? Right? The everyday business leaders like you and me. Well, AI at work on Wednesdays is a new ish segment where I show you ways that we're using new AI, models and modes and tools. And, for the most part, we kind of stick to, OpenAI, Google, Microsoft, Anthropic for the most part. Right? Because I don't wanna go down, too many rabbit holes. So at least for me, this one's exciting because a lot of times we're doing more text based large language models. This one's gonna be a little bit more visual. So if you are listening on the podcast, this might be a good one.

Jordan Wilson [00:03:26]:
Go to our website. We always put the video, from the live stream. You can watch it on our YouTube channel, LinkedIn, etcetera. So I'm gonna do my best for our podcast audience, but clearly, this is gonna be a visual one, so I'm gonna do my best. Alright. Enough chitchat. Let's get into it, and let's look at what is new. So, pretty good write up actually from Google DeepMind, on the new release.

Jordan Wilson [00:03:50]:
Google actually does a much better job than most, when it comes to new models, what their capabilities are, etcetera. So make sure you go check that out, and we'll put that in a newsletter. But here is the details. So like I said, it's no longer a mystery. So, essentially, this nano banana model was being tested by, early evaluators in on LM Arena. So if you don't know what LM Arena is, it's where you get, put in a prompt, and you get a side by side output. You don't know what they are. You vote for the winner, and that gets what's called an Elo score.

Jordan Wilson [00:04:25]:
So a lot of times, sometimes weeks before a new model comes out, whether that's a text to text AI model, a text to image, image to video, etcetera. They're on LM Arena, but sometimes with code names. So this new Gemini 2.5 flash image model that was just officially released had been on LM Arena as nano banana. But, yeah, unfortunately, you couldn't just go select it and use it. You had to go in that battle mode, and you would just randomly happen upon nano banana. So when people saw it and how good it was specifically at editing and manipulating images, it rightfully so, kind of took over the AI internets. So it is the benchmark leader, and it's not even close. I'm gonna share those benchmarks later.

Jordan Wilson [00:05:11]:
So, yeah, when we talk about Elo scores, what humans prefer when it goes to head to head, blind competition. This model Gemini 2.5 flash image is not off the charts because it's number one, but it's off the charts compared to everyone else. Some pretty advanced features. So, the biggest one, it's a multimodal model at its core, and that's important. So Google actually has other image models. Right? They have a great model called, imagine four. But, the Google's, version of Gemini 2.5 flash image works a little differently. It has a much better understanding of natural language.

Jordan Wilson [00:05:53]:
You could work with it in natural language much better than you can with their other, Imagine four. It has a better understanding of the world and physics. And, you know, if you're making a series of images, you don't have to explain, you you know, a new scenario. You could say, hey. Put this basketball on Mars, and players are probably gonna start floating around. Right? Because they're like, oh, okay. Well, gravity is gone. Is gravity gone on Mars? I think it is.

Jordan Wilson [00:06:17]:
So a lot of advanced features, but I think one of them is, well, it is a multimodal large language model at its core, which is extremely important when it comes to working and iterating, with, nano banana. I'm sick. The rest of the show, do you guys mind? Can I just call it nano banana? I don't know. Gemini 2.5 flash image is a mouthful. Nano banana is just fun to say. Alright. So, nano banana, the other big thing is it maintains character consistency, which is huge. So if you want to do multiple photos, of someone in different scenarios, but, you know, if you've ever used AI image, generators, even the very impressive and extremely viral also, g p t four o image gen from a couple of months ago, it really struggled with character consistency.

Jordan Wilson [00:07:06]:
Or if you uploaded a photo of yourself, it always seemed to change a couple of things. Not so with nano banana. Also the ability to blend multiple images and just like I said, using Gemini's world knowledge is huge. Let's talk a little bit about availability. Well, it's available it's available now. So it's already rolled out today across Gemini apps for all users plus, developers via the API, inside Google AI studio, as well as obviously on the front end, Gemini and Gemini apps. And also many of the third parties are integrating it, including interestingly enough, Adobe. Right? Adobe, I think in this one, they have no choice.

Jordan Wilson [00:07:46]:
A lot of people are calling this a Photoshop killer. I won't go that far, but if Adobe doesn't do something, they're gonna run into some problems. Adobe's stock actually took a pretty big hit, yesterday when Nano Banana, was announced, believe it or not, that, something called Nano Banana, you know, I don't know how much market cap it took off Adobe, but it was a couple billion. So, usage and limits. So this has been going back and forth a little bit. We'll probably have some clarity, you know, by later today. And if we do get a little more clarity, I'll put in the newsletter, but for the most part, it's free. So right now, free users get a 100 daily edits inside Google AI Studio, and then paid users get a thousand.

Jordan Wilson [00:08:33]:
And then on the developer side, so if you're using this on the API side, it is extremely cheap. It is, about 3.9¢, so let's just say 4¢ per image. I believe that's like a quarter of the price of OpenAI's GPT four o image, and also way faster. Right? That's the problem. I I really did love GPT four o ImageGen, but just because, I guess, you know, they're they're having scaling issues. Right? So, it can sometimes take thirty seconds, sixty seconds, multiple minutes to generate an image in g b t four o ImageGen. Right now, even though I mean, we're we'll see. I'm gonna do it live.

Jordan Wilson [00:09:15]:
Even though it came out and I know that their servers Google servers are getting slammed, they're able to handle it and scale. It's fast. Right? And usually when something this popular comes out, in the first twenty four to forty eight hours, you can expect a lot of slowdowns, a lot of throttling. I haven't seen that. Things are generating really quickly. Also, it is important to know that all outputs include AI watermarks and synth ID fingerprints. Well, save that for another, another day, another episode, because I think as powerful and I'm not just talking about nano banana here. I'm just saying this genre of AI image generating as exciting and powerful as it is, it also can have a pretty dark side.

Jordan Wilson [00:09:58]:
But like I said, we'll save that for, another episode, cause this is the fun nano banana episode. Let's talk a little bit more about the capabilities and this is where it really shines. So, precise object control. So being able to instantly remove people from photos, delete clothing stains, blur backgrounds, change poses, add color to black and white images using simple text commands. I mean, this is like, and this is coming a little bit from my background, right? So I've been using Adobe Photoshop. Let me do the math here for, I think more than twenty years, just about twenty years. So twenty years give or take a year or two. Some of these things, right? Like removing people from photos or, you know, changing the color on something and, preserving the texture that is not easy.

Jordan Wilson [00:10:52]:
The lighting and the composition when you're change or putting a character in different scenes, it's not easy. Right? I've myself, you know, I have a kind of a marketing tech background. So I worked at a nonprofit, but I was the national marketing director and then the executive director, but we worked on a lot of huge campaigns with Nike and Jordan. So, essentially, we just became an activation and marketing agency for Nike and Jordan. And I literally I'm thinking of it right now. So many projects that I spent probably dozens of hours on single projects, right. Doing one of these things, right. Removing someone from a photo, changing something in Photoshop.

Jordan Wilson [00:11:32]:
Right. Takes seconds. Now The capabilities are wild. Right? I, I do think the cap now is your imagination. And I do want to hit a pause here and say this. This is not just for creatives. I think this changes the way that non creative people can actually create, and that is huge. I think that breaks down, one of the larger or, more daunting barriers that a lot of nontechnical or non creative people have faced for decades.

Jordan Wilson [00:12:06]:
Right? You know, you're like, oh, if only I could, you you know, be creative. I'm great at executing on the back end. But, man, I can't strategize. I can't create, but I can execute. Okay. Well, you can strategize now with large language models like Gemini, like, GBT five, like Claude four. But then you can use something like Nano Banana, and you can actually create things. It is a multimodal input output powerhouse.

Jordan Wilson [00:12:31]:
Right? Not even talking about Google's, industry leading v o3 video model. Right? And how you can use nano banana to start by creating or editing or putting yourself in a different image. Right? So let's say you're, the CEO of a small company and, you know, you have an older, you you know, kind of corporate video and it's kinda boring and you wanna update some of the shots. Okay. Well, take a picture of yourself with your camera, Load that into nano banana, nano banana nano banana, you know, go into different, scenes, and there you go. You have new b roll. You don't have to go out and spend $3,050,000 dollars and many hours hiring a, expensive production crew just if you wanna update, you know, the old training video. So, some other things aside from character consistency, multi step editing, so you can start with an empty room, then paint the walls blue, add a bookshelf, place a couch, etcetera.

Jordan Wilson [00:13:27]:
Great for interior, exterior design, you know, scene setting, etcetera, etcetera. Style transfer, so you can apply textures from one image to create something new. So as an example, you could use a butterfly wing pattern for clothing, or flower petals to redesign rain boots. So if you have, you know, different textures or if you like give a photo of yourself and you're like, hey. I wonder what I would look like in, you know, these kind of shorts or this kind of, you know, top. Well, you can do that. Right? The whole this kills, I think, well, kills, but also creates so many opportunities. It's gonna kill, some current, you know, startups and in, apps out there, but it's also gonna create so many opportunities of what you can build, on top of this software.

Jordan Wilson [00:14:12]:
And it's not terribly hard. And then also, kind of already mentioned this, but smart image blending, being able to upload multiple images and, blend them together. Alright. Let's look live. What could go wrong? Alright. So I will tell you, one thing that I've noticed in my limited experience, I don't I think I need to reach out to Google folks. Right? We have them sponsoring our podcast all the time. But for some reason, like, I don't always get the Google stuff early.

Jordan Wilson [00:14:39]:
Sometimes I do. But yeah. So I, unfortunately didn't get, Nano Banana early. Like I know a lot of other people did. So, I've I've only been able to play with it for a few hours. And I will tell you this, in my experience so far, I don't it it at least for me personally yet, I haven't gotten a lot of impressive kind of one shot, results. Right? Gotten extremely impressive, results when you iterate with it a little bit, but that's the like I said, that's the, you might look at that as a con, but that's actually a pro of using, a multimodal by default model like Google Gemini and not using like, you know, imagine for nothing against imagine for. It's one of the top rated, just text to image models, in the world.

Jordan Wilson [00:15:27]:
Actually, now only behind Nano Banana, but it's it's so much different, working with a in in image editing and image creating model inside of a large language model, and not, not inside of a a platform like a mid journey, or a, you know, stable diffusion. Right? So that's the power is just being able to talk to the model, with natural language and not having to speak, you know, prompt, you know, with these, you know, s ref codes and, you you know, all these, you know, adjectives throwing out of, you know, nineteen seventies paintings. It's like, no. Just be like, yo, make this look like this and it'll do it. All right. So let's look live. So, before we start demoing, all right. Like I was mentioning here is the LM Arena, Elo scores.

Jordan Wilson [00:16:19]:
I don't know. The last time I saw something come in at, like, a 170 points above the next highest variant, but that is where Gemini 2.5 flash image preview, a k a nano banana, came in over the next highest, and this is for image edit. Text to image, obviously, nano banana was also number one, but I only buy a small margin over Google's own a matching four. So they're different products. Keep that in mind. But, on the image edit side, I mean, absolutely bonkers. I didn't say banana there. Thought I was gonna say absolutely bananas.

Jordan Wilson [00:16:58]:
I didn't. I'm refraining. That one's absolutely bonkers. It is a 170 points, above the second place model in flux one context. I I I don't remember the last time a model came in that much higher in an established category. If it tells you how freaking good it is, I don't remember the last time we saw this. You know, on the text side, right, as an example, you have Gemini 2.5 pro with a two point lead over GPT five. Right? So pretty pretty much tied.

Jordan Wilson [00:17:30]:
You know, they're one a and one b, which is normal. So, you know, two five points, pretty big. 20 points are like, oh my gosh. 170. That means it is the category. Right? There's no competition. So real quick benchmarks, similarly much better. Right? I don't know if y'all follow image benchmarks.

Jordan Wilson [00:17:53]:
I do not as much as I follow, kind of the traditional large language model, but on overall performance on LM arena, visual quality on GenAI bench, text to image, text rendering, pretty much, Gemini 2.5 flash image is leading in most of those categories. But surprisingly, imagine four is, you know, pretty, pretty up there as well. Alright. Let's get demoing what could go wrong. So I'm gonna be working inside both Google Gemini and Google AI Studio, and I'm gonna show you why. But, a lot of times I'm also hey. When this is putting AI at work on Wednesdays, when something is brand new like this, I don't even necessarily know the best way yet. And unless you were developing the product at Google, most people don't.

Jordan Wilson [00:18:46]:
So, you know, if sometimes you feel like you're behind, don't worry y'all. I do this every single day, and I'm still learning like everyone else. So, for a podcast audience, I'm gonna be flipping between Google Gemini, and Google AI Studio. So Google AI Studio is free, and it did get a little bit of a makeover. So now you just need to make sure there's a a lot more information when you're selecting models. You can go to all models, feature, Gemini images, etcetera. So you just need to click on the Gemini 2.5 flash image preview if you are in Google AI Studio. And I do believe it's at a 100 cap, a day.

Jordan Wilson [00:19:24]:
And then I am on a paid plan on Google Gemini, so I'm not gonna run it in run into any caps. So that's another reason why I'm doing it in both, so we can, hopefully, not run into any issues. Alright. So are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on GenAI. Hey. This is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft, and NVIDIA have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use GenAI.

Jordan Wilson [00:20:18]:
So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to your everydayai.com/partner to get in contact with our team, or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on GenAI. I'm going to where is this photo? Alright. Give me a second. I gotta I gotta find a photo here. Alright. There it is.

Jordan Wilson [00:20:58]:
So, essentially, let me drag this on so the audience can see. This is just an audio, photo I shared, on LinkedIn or something when I got to, NVIDIA GTC this past year. So, just a selfie picture of me in a hoodie. You can kinda see the everyday AI logo in the hoodie, which is why I'm actually using this. I wanna see how well it can preserve that and kind of put me in different scenes. Alright. So, I'm gonna go ahead and drop that image. I know you, you know what? I'm actually gonna try to turn this into professional headshot.

Jordan Wilson [00:21:31]:
Alright. So, probably something a lot of people might be interested in. Alright. So I'm gonna say give me five professional headshot options, but still in this exact hoodie. Don't add anything new on the hoodie that's not I'm gonna say that's not already there. Make this I'm gonna say make this appear. It's shot on an iPhone. I'm gonna say, give me, different angles, make them flattering, but realistic.

Jordan Wilson [00:21:59]:
All right. There we go. We'll see what happens. So I'm running that in Gemini. I should probably go into the right, model, the Gemini 2.5 Flash, and then I'm gonna click tools, and then go on to create images in the tool selector. That's it. I'm gonna copy that prompt, and then I'm gonna jump over in Google's AI Studio. I have the Gemini 2.5 Flash.

Jordan Wilson [00:22:24]:
And the good thing is with this photo, you can just drag and drop it, which is nice. And there we go. And then we're gonna jump between the two different and see what the results are. Cool. So, we already ran into some fun. Let's see what I did wrong here. Didn't look like I did anything wrong. So, I was doing a little bit of testing in Google AI Studio before.

Jordan Wilson [00:22:48]:
Wasn't running into any issues. It just gave me nothing. It just gave me blank in Google AI Studio. So we're just gonna run it again. Yep. Gemini 2.5 flash image preview. Alright. And let's check on.

Jordan Wilson [00:23:03]:
Alright. The hey. You gotta love the demo demons. They got me right before, right before I started, started this, recording. Everything was working great in, Gemini 2.5, Flash image preview inside Google AI Studio. It's not anymore. So this is gonna make the, the demo interesting. Alright.

Jordan Wilson [00:23:26]:
So here we go. Let's look at Google Gemini, using the new nano banana mode. All right. So it gave me a couple, different, images and you'll see here. This actually looks like me, right? For the most part, if, if, if I did this in a GBD four O image, it would not really look like me. Right. I don't know. Last year, my audience, if if you watch, does this look like me? I'd say it pretty much does.

Jordan Wilson [00:23:53]:
Right? So again, we have the watermark. We have a photo. It took the, the same hoodie, different pose. Right? But got me looking just like me. It looks looks like I'm in an outdoor park setting for the first one. The second one, same setting, straight on in the, same, kind of park area. Cool. Alright.

Jordan Wilson [00:24:17]:
So it looks like we got kind of five different really, really good. Looks like we have a little weird, kind of artifact on the hoodie on one of these, but overall, really good. So now what I'm gonna say is I'm gonna say make this more Chicago e. You guys know I like to do these on, live, on the demo sometimes. Just say, like, make it more Chicago and see what happens. Presumably, it's gonna put the Chicago skyline in the background, but we'll see what happens. But this is what you can do. You just natural language.

Jordan Wilson [00:24:48]:
You don't have to go and, you you know, speak prompt to it. So these are photos that in theory, I could use as, you know, professional headshots if I wanted to, you know, update my LinkedIn photo. These are obviously better than the, you know, random selfie, you know, that I shot at the, NVIDIA GTC conference. There we go. We got the, the bean photo, obviously, but, you know, pretty, pretty pretty decent, outputs here from Nano Banana. Alright. And then if I wanted to, I could go further and I could say, hey, you know, actually, let me do this. I'm gonna say, you know, make this a team photo, and add two more people in the same outfits.

Jordan Wilson [00:25:34]:
All right. So again, this is the power of iterative prompting, right? So I actually will see how this does. I didn't try this one out yet. While I go check on, Google's AI Studio. That's just not working. Just not working right now. So, fantastic. I might have to launch one of my other accounts, and see and see what's going on.

Jordan Wilson [00:26:00]:
But for whatever reason, it's not working, and we'll try it with, with the next one. Alright. But, there we go. It added, two team members. I'm looking, distorted the logo in the hoodie slightly. But it just added kind of, you know, two more people, in the same clothing, like I told it to, and, in Chicago. The thing I like is it actually gave me, it it kept the same hoodie. I like the ones that kinda go up to the chin.

Jordan Wilson [00:26:29]:
Alright. So let's go to our next demo. And again, I'm just going over use, like, use cases. I might actually use this for. Right? I'm still, kind of figuring this out myself. So I'm gonna launch a new chat in both Google Gemini, and in, Google AI Studio. We'll see if, this works. So the next thing I'm gonna do is I'm gonna say redesign my cover art for my podcast.

Jordan Wilson [00:26:53]:
Give me two options. And I'm actually just gonna I had one saved here. So, here we are. There we go. I thought it made sense, since, Logan Kilpatrick, from Google, helped seemingly lead a lot of this, at least from the developer relation and product management side. I've had Logan on the podcast a couple times. So I'm gonna upload, that image and then essentially have it redesign my, my podcast art. Right? Some I've been thinking about for a while.

Jordan Wilson [00:27:30]:
Do I wanna do it? Do I wanna hire someone else? Or, will nano banana be good enough to do it itself? Let's see. So pretty simple here. All I'm doing again, I can you can upload multiple photos. You can combine them. But right now, I'm just uploading one text prompt, one image with our current podcast cover art, and essentially saying, like, change a bunch of stuff. And I'm also saying you can extend the photos. So Google AI Studio, for whatever reason, is being absolutely bonkers. At least it worked this time, but it didn't really, it didn't really change anything.

Jordan Wilson [00:28:11]:
So not sure why. Let's check-in on Google Gemini. Same thing. Didn't really change anything. So interesting. In my, in my original prompting, it, or my initial test, it did really well. And I'm gonna say, you must make the layout design, very different. Alright.

Jordan Wilson [00:28:33]:
So I'm gonna do a follow-up prompt here, see if we can get anything, because essentially, when I ran this the first time, works great, gave me some cool layouts. One of them I actually liked, and I'm like, oh, I should give this to an actual designer or just, you know, continue working with this. And, you know, maybe this could be the new cover art. But the second time around, different. Right? This is the fun part of doing it live. Alright. There we go. I do like this one, a little bit better even though it's a little screwed up.

Jordan Wilson [00:29:01]:
So it gave me some, some different options where it kind of has the, the podcast title text, over, the person's face, which isn't terrible. But, you know, maybe that's a cool, a cool layout where I can put the, the guest's face really big and, you know, prominent, and then just, you know, put my little mug, you know, somewhere smaller there. So, not great output, on that side from Google's AI studio, but at least it worked on the second time. Okay. Got something decent ask, from Google Gemini. I wouldn't use these, per se, but it at least, gave me one, you know, slightly different, layout for my podcast, design. Cool. Let's do another one.

Jordan Wilson [00:29:51]:
Here's one that I think just about everyone might be able to take advantage of. Again, I'm trying to find some general, use cases that will be helpful for you all. So now what I'm doing is I'm essentially gonna drop my everyday AI logo in here, and I'm saying put this on a bunch of mock ups, you know, t shirts, put it on, you know, mugs, etcetera. Right? So so nothing nothing crazy, but I am saying make sure it's three d, make sure it's realistic. Right? And put it on actual people. Right? And I wanna see how good of a job it does at just transferring the logo and making it look real. So it's already done on Google Gemini. In that ten seconds where I was copying and pasting the prompt and going over to Google's AI studio, it's already done in Google Gemini.

Jordan Wilson [00:30:42]:
So, the photos themselves, let's take a look. It did a good job of transferring the logo. The logo looks a little bigger, than it probably should. I'm a fan of, like, smaller logos, but the photos look, you know, fairly okay. They look obviously AI generated ask. Right? If these were on social media and small, you wouldn't be able to tell. I can tell. Here's another one of a woman.

Jordan Wilson [00:31:08]:
Again, the logo is pretty big, and then here's one of the water bottle. So not a huge fan of the, giant logo. So I'm just gonna say, I'm gonna say make the logo. I'm gonna say make the logo, much smaller and realistic and the logo lettering in black and white and ensure it looks more stitch, stitched on the clothing. Not screen printed. Yeah. We gotta get that good stuff. Alright.

Jordan Wilson [00:31:40]:
So, just iterating on the prompt. Let's see what Google AI Studio did. Google AI Studio did a pretty good job here. They gave me, kind of a water bottle on the desk with a person in the background. Nice kind of bokeh effect. Right? That looks really nice. Again, logo looks a little comically large for a water bottle. Maybe not.

Jordan Wilson [00:31:59]:
I guess I'm holding up my kind of water bottle I got here, my Chicago Bears one. That's a ridiculously big Chicago Bears logo, so I don't know. Maybe that's the right size. Another one here, pretty good. The logo just looks screen, screen printed though. So that's why in Google Gemini, I asked for it to be kind of stitched. Alright. So I iterated on the prompt here, did a good job.

Jordan Wilson [00:32:22]:
It made the logo black and white, and it looks less screen printed on this original photo. It looks like, you know, two college age, you you know, kids, in a city, and it made the logos a more appropriate side and made it black and white, and it looks stitched now versus screen printed. So overall, pretty good. Pretty good. Better than the podcast cover art if I'm being, if I'm being honest. So you can see so far, you know, a lot of times you have to reiterate. Right? You're not gonna be knocked out of the park with your first, depending on what you're doing. Right? I'm I'm trying to do more general use cases.

Jordan Wilson [00:33:00]:
I could cherry pick things that I knew would be extremely impressive, but I wanna give examples that at least for our podcast audience and for our nontechnical, non creative people watching here on the live stream that, you know, some something that might resonate. So here we go. Let's do this one. You know what? I'm gonna switch this one up. So I have a photo of me in front of a green screen. Alright. And let's just go ahead so you guys can see this. There you go.

Jordan Wilson [00:33:28]:
So photo in front of green screen, and I'm just gonna say, let's see. There we go. I'm I'm improvising here. So I'm gonna say, make this a full body shot of me walking around in downtown, Downtown Chicago. Alright. I love typing live. Alright. Downtown Chicago.

Jordan Wilson [00:33:57]:
There we go. So this photo is from, like, the shoulders up. I'm in front of a green screen. The rest of my body is obviously not showing. So let's see how nano banana in Gemini and in Google AI studio, handle this. So there we go. All right. I did it in Gemini.

Jordan Wilson [00:34:20]:
I did it in Google AI studio and Gemini done. Y'all that took again so fast, so fast. All right. So, looks like a pretty good photo. It made me like six foot two, which I'm here for. It looks like I'm like in this photo, it looks like I'm like blinking or something like that, but not bad. So I'm gonna say, move me off center and a happy, expression with wide eyes. Right? So let's see how this does.

Jordan Wilson [00:35:00]:
And again, I'm looking for this consistency, right? It's weird to say character consistency when it's myself. But there we go. Okay. So now I'm slightly, slightly off centered, a little bit to the right. I should have said, you know, using, like, rule of thirds, go to the, you know, right third. But here we go. So again, does this look exactly like me? Not necessarily, but it actually did a pretty good job, inside Google Gemini, of moving me to the right. So now I could say something like make it night time and keep everything else safe.

Jordan Wilson [00:35:41]:
So this is where you can see how, you can save a ton of time, maybe doing something that you might normally have to do, in Adobe Photoshop, right? With a simple text prompt, it didn't take long. This one actually doesn't look good. It's done. It looks a little, from a lighting perspective. It doesn't really resonate. So it actually did a really good job, with the background objects and the people in the background and kind of better illuminating them under, kind of, darkness of Chicago. But at least for this version of me in the foreground, I don't think it did that great of a job. Again, maybe I'm nitpicking a little bit here.

Jordan Wilson [00:36:25]:
Alright. So let's see how Google's AI studio did, with the same prompt. Just make this a full body shot of me walking around Downtown Chicago. This one actually looks much more like me. Pretty good, actually, I'd say. So, I'm just gonna iterate on this one. Same thing. I'm gonna say make this nighttime.

Jordan Wilson [00:36:47]:
Keep everything else the same. See how it turns out. I was gonna do, actually, let me just do one more, quickly. I'll make this one quick and explain exactly what I'm doing just to show you some of the other capabilities. Alright. Google's AI studio did a much better job, converting that one, to nighttime. Again, just taking a photo, of myself kind of from the, you know, forearms or, from my elbow up. Looks pretty pretty much like me, not a 100%, but much better than g b t four o image would do.

Jordan Wilson [00:37:23]:
Put me in Chicago, change it from, you know, daytime to nighttime, did really, really well. Here's one other capability that I really like, and I think a lot of people could find some use for. Alright. I'm just gonna let it run because it might take a second, but all I'm doing here is I have a prompt and I set at the very top of this. Alright. I'll just read it out here. I said, this is text from my website, which mainly contains the transcript of a podcast episode of Everyday AI. Please create one detailed infographic or a series of images that accurately displays the main takeaway messages from the transcript.

Jordan Wilson [00:37:57]:
Be specific. Here's the text. Right? And then there's a forty minute transcript of, my podcast episode, from yesterday on the, MIT study of ninety five percent of AI pilots failing. Bad study, by the way. Anyways, so I kind of left it up to, nano banana to just be like, yo. Okay. Interesting. So it didn't, it's because okay.

Jordan Wilson [00:38:24]:
That was my bad. I forgot inside Gemini, to have images selected. So I have to still, have that images, selected in the toolbar where in Google AI studio, you don't need that. So let's see what Google AI studio finished. Okay. This is this is pretty good. So I'll have to go through and check for accuracy. But this is really, really good.

Jordan Wilson [00:38:50]:
So what it did is it kind of created it looks like it kind of took four main takeaways, and it really deconstructed, the entire this is so good. So it it pulled, you you know, it pulled logos. Right? Because I was talking about, you know, a Boston Consulting Group, study. It pulled BCGs. It pulled snowflakes logo. It put the actual stacks that I use. Although there's, a couple of letters that maybe, don't look like are a 100% correct even though I know what they're saying, but it made a four column graphic. It looks professionally designed, maybe not the highest end designer, but this looks like something you might get with a junior designer, if the letters were all correct.

Jordan Wilson [00:39:33]:
It looks actually really good. It's an infographic. There's, you know, kind of, some icon, some icons and circles and logos and big pull out stats and little quotes. It looks really, really good, actually. I'm surprised, at how good this one turned out and then even put the, the everyday AI logo on there or the, the the the website. So, that's nice. Let's see the, Google Gemini version. Okay.

Jordan Wilson [00:40:02]:
Interesting. This one is actually even more visual. So I'm clicking on it. At the top, it says debunking the 95% of AI pilot failure myth. It put the, the episode number. It says why the study is flawed, five major red flags. But let's see. It looks like out of the five major red oh, yeah.

Jordan Wilson [00:40:22]:
They're all right there. One, two, three. It looks like they just got one of the numbers wrong, but they got them all in there. It kind of dissected the viral claim, talked about the stock market drop, and it illustrated that pretty good. And then on the side, it said key lessons for business leaders, dig deeper, go beyond sensationalized headlines, examine data window, understand realistic ROI timelines, examine data window. So it duplicated that headline, validate benchmarks, misspelled benchmarks. Okay. So a couple a couple misspellings, but overall, y'all, I just dumped, you you know, with some iteration and saying, hey, change these things or, you know, this is wrong, this isn't.

Jordan Wilson [00:41:02]:
But the other thing, if you have, a library of of, visual assets that you've already, deployed in your organization. You just upload those and you say, here's the new info and update this. Right? And it might get one or two words wrong, but, you know, I know as someone that used to design a lot before Canva. Right? Bless up Canva. But I remember in Photoshop putting together, you know, flyers or infographics. Right? Like like this. And it would take hours, hours. Right? So if you have something that you've already designed professionally, it looks great, you can literally upload that as a template or inspiration, throw a bunch of new docu new information at it and it will, you know, won't get it a 100% right each time, but it's probably gonna save you 80% of the time or, you can even export it and then bring it to something.

Jordan Wilson [00:41:54]:
And this is what I I do right now. Bring it to something like Canva because there's a great feature in Canva called their magic text grab. So let's say you get, you know, one of these, infographics. You're like, oh, this is perfect. You know, we talked about this at our meeting last week. We said it's gonna take, you know, $5,000 project, and we're gonna hire our, you know, contractor designer or something like that. And you're like, okay. Well, I can either just do it in house or give them a very good looking version to start with, you know, so you can export this, from, Nano Banana, bring it into Canva, use the AI magic text grab, correct any of those things that are slightly off or any misspellings, and you're good to go.

Jordan Wilson [00:42:34]:
Alright. So demos demos happen at about a b minus, but that's to be expected. So, let's wrap with five other use cases. So I showed you it's Wednesdays. I showed you ways that I'm gonna be using, Nano Banana. I think the last one, I'm probably gonna be using a lot more, putting in a bunch of podcasts, transcripts, newsletter, having predesigned assets, upload them as, kind of inspiration, and then putting all of our information in those and then, you know, doing some slight tweaks, in Canva. That's how I'm gonna be using Nano Banana, but here's some, other use cases. So real estate marketing, this is huge, y'all.

Jordan Wilson [00:43:16]:
You can create professional listing cards by placing the same property in different lighting conditions, seasons, or with different furniture arrangements, all while maintaining the exact same architecture details and proportions. So the same way that you can have character consistency with humans, think about the thing you can do on the inside. Right? And if if you're building out new warehouse plans, whatever it may be, this is great. Product, product catalog creation, you can transform a single product photo into multiple marketing angles and environments. You know, you can show your furniture in various room settings or place your, you know, your water bottle or whatever thingamajig you your your company sells into different lifestyle context, etcetera. Yeah. This is obviously big for e commerce. Next training material visuals.

Jordan Wilson [00:44:01]:
So you can convert complex diagrams, workflows, and instructional content into clear professional presentations by combining screenshots, arrows, text overlays, and educational graphics in one seamless image. So, yeah, that's another thing that you can do. If you have, like, an older asset that you need uploaded, you can literally just throw it in Canva or just annotate it and being like, change this, make this brighter. You know, put this new product in here. So you can literally annotate on an old image, put it some additional smaller assets in there, and Nano Banana's gonna do it. Right? So, oh, here's this great amazing, you you know, photo that we use. It was the front page of our, you know, magazine, but, you know, it has a bunch of old products or, you know, whatever. You can literally just circle them in red Sharpie and then upload the new products and, you know, banana will replace it.

Jordan Wilson [00:44:52]:
Alright. Interior design mock ups. Already kinda talked about this, but specifically for interior design versus real estate. So you can help clients visualize office layouts, retail spaces, or home improvements by digitally placing furniture, changing wall colors, etcetera. This is something I'm not gonna be doing this for everyday AI, but I'm gonna be doing this for my home. Right? We, me and my wife been talking about, oh, you you know, where should we hang, you know, these photos? What should we hang all these things? And, you know, a lot of times it's just like, you know, decision overload. It's like, you know, just leads to nothing. So this is gonna be great.

Jordan Wilson [00:45:25]:
I'm gonna be using that, almost immediately, in that, regard. Then also another fun one that I'll probably be using is instant AB test variations. So, again, if you have a designer marketer on your team, an old ad that you ran previously, find your best ad, upload that, upload other smaller assets, and you can just generate a bunch of different variations of winning assets without having to go through and do it manually. All right. I hope that was, I hope that was helpful. Y'all so nano banana is no longer a mystery. It is Google's newest model, Gemini 2.5 flash image. And like I said, this is a completely off the charts useful model.

Jordan Wilson [00:46:12]:
If you're looking for, one shot easy jaw dropping results, you might be able to get those, in predetermined scenarios, but this does require working with the model and just getting your reps in. Right. So right now I don't have enough reps in. So that's why, you know, the the demos are a little clunky, and I don't even have the best use cases worked out. But I hope throughout this, you did see the potential, and for people who could watch it. And again, podcast audience, thanks for sticking with me, but make sure you go watch the YouTube version, or go check this out on LinkedIn or on our website at youreverydayai.com. I think you'll be able to see from the results, you know, you're not gonna always get to an a plus. Right? Something that you'd pay $2.03, $20, a designer for, you know, or a photographer for.

Jordan Wilson [00:47:05]:
But you can get 80% of the way there in 10% of the time for 1% of the cost. And by 1% of the cost, like zero percent of the cost. Right? Because like I said, Google AI studio, available for free. You can go and use nano banana. So I hope this was helpful. If so, tell someone about it. If you're listening on the podcast, please subscribe and follow the show. I'd appreciate that.

Jordan Wilson [00:47:28]:
Thank you for tuning in. Hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.Jordan Wilson [00:00:16]:
Nano Banana is no longer a mystery. So if you follow AI at all, you've probably seen the very viral images making their rounds of some mystery AI image model called nano banana. And after some not so subtle, hints from the Google team over the last two weeks, it was finally released on Tuesday. So, the real name, although I kinda wish they just kept it as nano banana, is Gemini 2.5 flash image. So on today's show, we're gonna be going over it's Wednesday, so we're going AI at work on Wednesday. So we're gonna be going over, hey, great timing. What's new in Gemini 2.5 flash image, and also giving you some real use cases and live demos for this impressive new model from Google Gemini. Alright.

Jordan Wilson [00:01:15]:
It's time to go bananas. I told myself I wouldn't do this. Make banana jokes. Let's leave it there. Welcome. What's going on, y'all? My name is Jordan Wilson. Welcome to Everyday AI. If you're new here, we do this thing every single day, Monday through Friday.

Jordan Wilson [00:01:30]:
It's unedited, unscripted. I like to say it's the realest thing in artificial intelligence. It's a daily livestream podcast and free daily newsletter helping us all keep up and get ahead when it comes to all of these AI updates. They're coming at us faster than bananas in the old Donkey Kong game. Ah, another one. Alright. So if you haven't already, please make sure to go to your everydayai.com. Sign up for the free daily newsletter.

Jordan Wilson [00:01:52]:
We're gonna be recapping the highlights from today's show as well as everything else happening in the world of AI, to keep you ahead of the game. So if you want the AI news, that's gonna be in the newsletter. So let's get straight to it. Nano Banana is no longer a mystery. Google did have a pretty splashy announcement of their very impressive new Gemini 2.5 flash image model. So on today's show, we're gonna detail what's new in Nano Banana, a k a Google's new image generating model, Gemini 2.5 Gemini 2.5 flash image. We're gonna do a live demo on this AI at work on Wednesdays, and we're gonna end the show with five helpful use cases that both nontechnical and noncreative people can take advantage of. Right? I think one of the hardest things when it comes to AI is number one, there's, like, 50 new things a day.

Jordan Wilson [00:02:49]:
But number two, it's like, okay. How do we actually use this? Right? The everyday business leaders like you and me. Well, AI at work on Wednesdays is a new ish segment where I show you ways that we're using new AI, models and modes and tools. And, for the most part, we kind of stick to, OpenAI, Google, Microsoft, Anthropic for the most part. Right? Because I don't wanna go down, too many rabbit holes. So at least for me, this one's exciting because a lot of times we're doing more text based large language models. This one's gonna be a little bit more visual. So if you are listening on the podcast, this might be a good one.

Jordan Wilson [00:03:26]:
Go to our website. We always put the video, from the live stream. You can watch it on our YouTube channel, LinkedIn, etcetera. So I'm gonna do my best for our podcast audience, but clearly, this is gonna be a visual one, so I'm gonna do my best. Alright. Enough chitchat. Let's get into it, and let's look at what is new. So, pretty good write up actually from Google DeepMind, on the new release.

Jordan Wilson [00:03:50]:
Google actually does a much better job than most, when it comes to new models, what their capabilities are, etcetera. So make sure you go check that out, and we'll put that in a newsletter. But here is the details. So like I said, it's no longer a mystery. So, essentially, this nano banana model was being tested by, early evaluators in on LM Arena. So if you don't know what LM Arena is, it's where you get, put in a prompt, and you get a side by side output. You don't know what they are. You vote for the winner, and that gets what's called an Elo score.

Jordan Wilson [00:04:25]:
So a lot of times, sometimes weeks before a new model comes out, whether that's a text to text AI model, a text to image, image to video, etcetera. They're on LM Arena, but sometimes with code names. So this new Gemini 2.5 flash image model that was just officially released had been on LM Arena as nano banana. But, yeah, unfortunately, you couldn't just go select it and use it. You had to go in that battle mode, and you would just randomly happen upon nano banana. So when people saw it and how good it was specifically at editing and manipulating images, it rightfully so, kind of took over the AI internets. So it is the benchmark leader, and it's not even close. I'm gonna share those benchmarks later.

Jordan Wilson [00:05:11]:
So, yeah, when we talk about Elo scores, what humans prefer when it goes to head to head, blind competition. This model Gemini 2.5 flash image is not off the charts because it's number one, but it's off the charts compared to everyone else. Some pretty advanced features. So, the biggest one, it's a multimodal model at its core, and that's important. So Google actually has other image models. Right? They have a great model called, imagine four. But, the Google's, version of Gemini 2.5 flash image works a little differently. It has a much better understanding of natural language.

Jordan Wilson [00:05:53]:
You could work with it in natural language much better than you can with their other, Imagine four. It has a better understanding of the world and physics. And, you know, if you're making a series of images, you don't have to explain, you you know, a new scenario. You could say, hey. Put this basketball on Mars, and players are probably gonna start floating around. Right? Because they're like, oh, okay. Well, gravity is gone. Is gravity gone on Mars? I think it is.

Jordan Wilson [00:06:17]:
So a lot of advanced features, but I think one of them is, well, it is a multimodal large language model at its core, which is extremely important when it comes to working and iterating, with, nano banana. I'm sick. The rest of the show, do you guys mind? Can I just call it nano banana? I don't know. Gemini 2.5 flash image is a mouthful. Nano banana is just fun to say. Alright. So, nano banana, the other big thing is it maintains character consistency, which is huge. So if you want to do multiple photos, of someone in different scenarios, but, you know, if you've ever used AI image, generators, even the very impressive and extremely viral also, g p t four o image gen from a couple of months ago, it really struggled with character consistency.

Jordan Wilson [00:07:06]:
Or if you uploaded a photo of yourself, it always seemed to change a couple of things. Not so with nano banana. Also the ability to blend multiple images and just like I said, using Gemini's world knowledge is huge. Let's talk a little bit about availability. Well, it's available it's available now. So it's already rolled out today across Gemini apps for all users plus, developers via the API, inside Google AI studio, as well as obviously on the front end, Gemini and Gemini apps. And also many of the third parties are integrating it, including interestingly enough, Adobe. Right? Adobe, I think in this one, they have no choice.

Jordan Wilson [00:07:46]:
A lot of people are calling this a Photoshop killer. I won't go that far, but if Adobe doesn't do something, they're gonna run into some problems. Adobe's stock actually took a pretty big hit, yesterday when Nano Banana, was announced, believe it or not, that, something called Nano Banana, you know, I don't know how much market cap it took off Adobe, but it was a couple billion. So, usage and limits. So this has been going back and forth a little bit. We'll probably have some clarity, you know, by later today. And if we do get a little more clarity, I'll put in the newsletter, but for the most part, it's free. So right now, free users get a 100 daily edits inside Google AI Studio, and then paid users get a thousand.

Jordan Wilson [00:08:33]:
And then on the developer side, so if you're using this on the API side, it is extremely cheap. It is, about 3.9¢, so let's just say 4¢ per image. I believe that's like a quarter of the price of OpenAI's GPT four o image, and also way faster. Right? That's the problem. I I really did love GPT four o ImageGen, but just because, I guess, you know, they're they're having scaling issues. Right? So, it can sometimes take thirty seconds, sixty seconds, multiple minutes to generate an image in g b t four o ImageGen. Right now, even though I mean, we're we'll see. I'm gonna do it live.

Jordan Wilson [00:09:15]:
Even though it came out and I know that their servers Google servers are getting slammed, they're able to handle it and scale. It's fast. Right? And usually when something this popular comes out, in the first twenty four to forty eight hours, you can expect a lot of slowdowns, a lot of throttling. I haven't seen that. Things are generating really quickly. Also, it is important to know that all outputs include AI watermarks and synth ID fingerprints. Well, save that for another, another day, another episode, because I think as powerful and I'm not just talking about nano banana here. I'm just saying this genre of AI image generating as exciting and powerful as it is, it also can have a pretty dark side.

Jordan Wilson [00:09:58]:
But like I said, we'll save that for, another episode, cause this is the fun nano banana episode. Let's talk a little bit more about the capabilities and this is where it really shines. So, precise object control. So being able to instantly remove people from photos, delete clothing stains, blur backgrounds, change poses, add color to black and white images using simple text commands. I mean, this is like, and this is coming a little bit from my background, right? So I've been using Adobe Photoshop. Let me do the math here for, I think more than twenty years, just about twenty years. So twenty years give or take a year or two. Some of these things, right? Like removing people from photos or, you know, changing the color on something and, preserving the texture that is not easy.

Jordan Wilson [00:10:52]:
The lighting and the composition when you're change or putting a character in different scenes, it's not easy. Right? I've myself, you know, I have a kind of a marketing tech background. So I worked at a nonprofit, but I was the national marketing director and then the executive director, but we worked on a lot of huge campaigns with Nike and Jordan. So, essentially, we just became an activation and marketing agency for Nike and Jordan. And I literally I'm thinking of it right now. So many projects that I spent probably dozens of hours on single projects, right. Doing one of these things, right. Removing someone from a photo, changing something in Photoshop.

Jordan Wilson [00:11:32]:
Right. Takes seconds. Now The capabilities are wild. Right? I, I do think the cap now is your imagination. And I do want to hit a pause here and say this. This is not just for creatives. I think this changes the way that non creative people can actually create, and that is huge. I think that breaks down, one of the larger or, more daunting barriers that a lot of nontechnical or non creative people have faced for decades.

Jordan Wilson [00:12:06]:
Right? You know, you're like, oh, if only I could, you you know, be creative. I'm great at executing on the back end. But, man, I can't strategize. I can't create, but I can execute. Okay. Well, you can strategize now with large language models like Gemini, like, GBT five, like Claude four. But then you can use something like Nano Banana, and you can actually create things. It is a multimodal input output powerhouse.

Jordan Wilson [00:12:31]:
Right? Not even talking about Google's, industry leading v o3 video model. Right? And how you can use nano banana to start by creating or editing or putting yourself in a different image. Right? So let's say you're, the CEO of a small company and, you know, you have an older, you you know, kind of corporate video and it's kinda boring and you wanna update some of the shots. Okay. Well, take a picture of yourself with your camera, Load that into nano banana, nano banana nano banana, you know, go into different, scenes, and there you go. You have new b roll. You don't have to go out and spend $3,050,000 dollars and many hours hiring a, expensive production crew just if you wanna update, you know, the old training video. So, some other things aside from character consistency, multi step editing, so you can start with an empty room, then paint the walls blue, add a bookshelf, place a couch, etcetera.

Jordan Wilson [00:13:27]:
Great for interior, exterior design, you know, scene setting, etcetera, etcetera. Style transfer, so you can apply textures from one image to create something new. So as an example, you could use a butterfly wing pattern for clothing, or flower petals to redesign rain boots. So if you have, you know, different textures or if you like give a photo of yourself and you're like, hey. I wonder what I would look like in, you know, these kind of shorts or this kind of, you know, top. Well, you can do that. Right? The whole this kills, I think, well, kills, but also creates so many opportunities. It's gonna kill, some current, you know, startups and in, apps out there, but it's also gonna create so many opportunities of what you can build, on top of this software.

Jordan Wilson [00:14:12]:
And it's not terribly hard. And then also, kind of already mentioned this, but smart image blending, being able to upload multiple images and, blend them together. Alright. Let's look live. What could go wrong? Alright. So I will tell you, one thing that I've noticed in my limited experience, I don't I think I need to reach out to Google folks. Right? We have them sponsoring our podcast all the time. But for some reason, like, I don't always get the Google stuff early.

Jordan Wilson [00:14:39]:
Sometimes I do. But yeah. So I, unfortunately didn't get, Nano Banana early. Like I know a lot of other people did. So, I've I've only been able to play with it for a few hours. And I will tell you this, in my experience so far, I don't it it at least for me personally yet, I haven't gotten a lot of impressive kind of one shot, results. Right? Gotten extremely impressive, results when you iterate with it a little bit, but that's the like I said, that's the, you might look at that as a con, but that's actually a pro of using, a multimodal by default model like Google Gemini and not using like, you know, imagine for nothing against imagine for. It's one of the top rated, just text to image models, in the world.

Jordan Wilson [00:15:27]:
Actually, now only behind Nano Banana, but it's it's so much different, working with a in in image editing and image creating model inside of a large language model, and not, not inside of a a platform like a mid journey, or a, you know, stable diffusion. Right? So that's the power is just being able to talk to the model, with natural language and not having to speak, you know, prompt, you know, with these, you know, s ref codes and, you you know, all these, you know, adjectives throwing out of, you know, nineteen seventies paintings. It's like, no. Just be like, yo, make this look like this and it'll do it. All right. So let's look live. So, before we start demoing, all right. Like I was mentioning here is the LM Arena, Elo scores.

Jordan Wilson [00:16:19]:
I don't know. The last time I saw something come in at, like, a 170 points above the next highest variant, but that is where Gemini 2.5 flash image preview, a k a nano banana, came in over the next highest, and this is for image edit. Text to image, obviously, nano banana was also number one, but I only buy a small margin over Google's own a matching four. So they're different products. Keep that in mind. But, on the image edit side, I mean, absolutely bonkers. I didn't say banana there. Thought I was gonna say absolutely bananas.

Jordan Wilson [00:16:58]:
I didn't. I'm refraining. That one's absolutely bonkers. It is a 170 points, above the second place model in flux one context. I I I don't remember the last time a model came in that much higher in an established category. If it tells you how freaking good it is, I don't remember the last time we saw this. You know, on the text side, right, as an example, you have Gemini 2.5 pro with a two point lead over GPT five. Right? So pretty pretty much tied.

Jordan Wilson [00:17:30]:
You know, they're one a and one b, which is normal. So, you know, two five points, pretty big. 20 points are like, oh my gosh. 170. That means it is the category. Right? There's no competition. So real quick benchmarks, similarly much better. Right? I don't know if y'all follow image benchmarks.

Jordan Wilson [00:17:53]:
I do not as much as I follow, kind of the traditional large language model, but on overall performance on LM arena, visual quality on GenAI bench, text to image, text rendering, pretty much, Gemini 2.5 flash image is leading in most of those categories. But surprisingly, imagine four is, you know, pretty, pretty up there as well. Alright. Let's get demoing what could go wrong. So I'm gonna be working inside both Google Gemini and Google AI Studio, and I'm gonna show you why. But, a lot of times I'm also hey. When this is putting AI at work on Wednesdays, when something is brand new like this, I don't even necessarily know the best way yet. And unless you were developing the product at Google, most people don't.

Jordan Wilson [00:18:46]:
So, you know, if sometimes you feel like you're behind, don't worry y'all. I do this every single day, and I'm still learning like everyone else. So, for a podcast audience, I'm gonna be flipping between Google Gemini, and Google AI Studio. So Google AI Studio is free, and it did get a little bit of a makeover. So now you just need to make sure there's a a lot more information when you're selecting models. You can go to all models, feature, Gemini images, etcetera. So you just need to click on the Gemini 2.5 flash image preview if you are in Google AI Studio. And I do believe it's at a 100 cap, a day.

Jordan Wilson [00:19:24]:
And then I am on a paid plan on Google Gemini, so I'm not gonna run it in run into any caps. So that's another reason why I'm doing it in both, so we can, hopefully, not run into any issues. Alright. So are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on GenAI. Hey. This is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft, and NVIDIA have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use GenAI.

Jordan Wilson [00:20:18]:
So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to your everydayai.com/partner to get in contact with our team, or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on GenAI. I'm going to where is this photo? Alright. Give me a second. I gotta I gotta find a photo here. Alright. There it is.

Jordan Wilson [00:20:58]:
So, essentially, let me drag this on so the audience can see. This is just an audio, photo I shared, on LinkedIn or something when I got to, NVIDIA GTC this past year. So, just a selfie picture of me in a hoodie. You can kinda see the everyday AI logo in the hoodie, which is why I'm actually using this. I wanna see how well it can preserve that and kind of put me in different scenes. Alright. So, I'm gonna go ahead and drop that image. I know you, you know what? I'm actually gonna try to turn this into professional headshot.

Jordan Wilson [00:21:31]:
Alright. So, probably something a lot of people might be interested in. Alright. So I'm gonna say give me five professional headshot options, but still in this exact hoodie. Don't add anything new on the hoodie that's not I'm gonna say that's not already there. Make this I'm gonna say make this appear. It's shot on an iPhone. I'm gonna say, give me, different angles, make them flattering, but realistic.

Jordan Wilson [00:21:59]:
All right. There we go. We'll see what happens. So I'm running that in Gemini. I should probably go into the right, model, the Gemini 2.5 Flash, and then I'm gonna click tools, and then go on to create images in the tool selector. That's it. I'm gonna copy that prompt, and then I'm gonna jump over in Google's AI Studio. I have the Gemini 2.5 Flash.

Jordan Wilson [00:22:24]:
And the good thing is with this photo, you can just drag and drop it, which is nice. And there we go. And then we're gonna jump between the two different and see what the results are. Cool. So, we already ran into some fun. Let's see what I did wrong here. Didn't look like I did anything wrong. So, I was doing a little bit of testing in Google AI Studio before.

Jordan Wilson [00:22:48]:
Wasn't running into any issues. It just gave me nothing. It just gave me blank in Google AI Studio. So we're just gonna run it again. Yep. Gemini 2.5 flash image preview. Alright. And let's check on.

Jordan Wilson [00:23:03]:
Alright. The hey. You gotta love the demo demons. They got me right before, right before I started, started this, recording. Everything was working great in, Gemini 2.5, Flash image preview inside Google AI Studio. It's not anymore. So this is gonna make the, the demo interesting. Alright.

Jordan Wilson [00:23:26]:
So here we go. Let's look at Google Gemini, using the new nano banana mode. All right. So it gave me a couple, different, images and you'll see here. This actually looks like me, right? For the most part, if, if, if I did this in a GBD four O image, it would not really look like me. Right. I don't know. Last year, my audience, if if you watch, does this look like me? I'd say it pretty much does.

Jordan Wilson [00:23:53]:
Right? So again, we have the watermark. We have a photo. It took the, the same hoodie, different pose. Right? But got me looking just like me. It looks looks like I'm in an outdoor park setting for the first one. The second one, same setting, straight on in the, same, kind of park area. Cool. Alright.

Jordan Wilson [00:24:17]:
So it looks like we got kind of five different really, really good. Looks like we have a little weird, kind of artifact on the hoodie on one of these, but overall, really good. So now what I'm gonna say is I'm gonna say make this more Chicago e. You guys know I like to do these on, live, on the demo sometimes. Just say, like, make it more Chicago and see what happens. Presumably, it's gonna put the Chicago skyline in the background, but we'll see what happens. But this is what you can do. You just natural language.

Jordan Wilson [00:24:48]:
You don't have to go and, you you know, speak prompt to it. So these are photos that in theory, I could use as, you know, professional headshots if I wanted to, you know, update my LinkedIn photo. These are obviously better than the, you know, random selfie, you know, that I shot at the, NVIDIA GTC conference. There we go. We got the, the bean photo, obviously, but, you know, pretty, pretty pretty decent, outputs here from Nano Banana. Alright. And then if I wanted to, I could go further and I could say, hey, you know, actually, let me do this. I'm gonna say, you know, make this a team photo, and add two more people in the same outfits.

Jordan Wilson [00:25:34]:
All right. So again, this is the power of iterative prompting, right? So I actually will see how this does. I didn't try this one out yet. While I go check on, Google's AI Studio. That's just not working. Just not working right now. So, fantastic. I might have to launch one of my other accounts, and see and see what's going on.

Jordan Wilson [00:26:00]:
But for whatever reason, it's not working, and we'll try it with, with the next one. Alright. But, there we go. It added, two team members. I'm looking, distorted the logo in the hoodie slightly. But it just added kind of, you know, two more people, in the same clothing, like I told it to, and, in Chicago. The thing I like is it actually gave me, it it kept the same hoodie. I like the ones that kinda go up to the chin.

Jordan Wilson [00:26:29]:
Alright. So let's go to our next demo. And again, I'm just going over use, like, use cases. I might actually use this for. Right? I'm still, kind of figuring this out myself. So I'm gonna launch a new chat in both Google Gemini, and in, Google AI Studio. We'll see if, this works. So the next thing I'm gonna do is I'm gonna say redesign my cover art for my podcast.

Jordan Wilson [00:26:53]:
Give me two options. And I'm actually just gonna I had one saved here. So, here we are. There we go. I thought it made sense, since, Logan Kilpatrick, from Google, helped seemingly lead a lot of this, at least from the developer relation and product management side. I've had Logan on the podcast a couple times. So I'm gonna upload, that image and then essentially have it redesign my, my podcast art. Right? Some I've been thinking about for a while.

Jordan Wilson [00:27:30]:
Do I wanna do it? Do I wanna hire someone else? Or, will nano banana be good enough to do it itself? Let's see. So pretty simple here. All I'm doing again, I can you can upload multiple photos. You can combine them. But right now, I'm just uploading one text prompt, one image with our current podcast cover art, and essentially saying, like, change a bunch of stuff. And I'm also saying you can extend the photos. So Google AI Studio, for whatever reason, is being absolutely bonkers. At least it worked this time, but it didn't really, it didn't really change anything.

Jordan Wilson [00:28:11]:
So not sure why. Let's check-in on Google Gemini. Same thing. Didn't really change anything. So interesting. In my, in my original prompting, it, or my initial test, it did really well. And I'm gonna say, you must make the layout design, very different. Alright.

Jordan Wilson [00:28:33]:
So I'm gonna do a follow-up prompt here, see if we can get anything, because essentially, when I ran this the first time, works great, gave me some cool layouts. One of them I actually liked, and I'm like, oh, I should give this to an actual designer or just, you know, continue working with this. And, you know, maybe this could be the new cover art. But the second time around, different. Right? This is the fun part of doing it live. Alright. There we go. I do like this one, a little bit better even though it's a little screwed up.

Jordan Wilson [00:29:01]:
So it gave me some, some different options where it kind of has the, the podcast title text, over, the person's face, which isn't terrible. But, you know, maybe that's a cool, a cool layout where I can put the, the guest's face really big and, you know, prominent, and then just, you know, put my little mug, you know, somewhere smaller there. So, not great output, on that side from Google's AI studio, but at least it worked on the second time. Okay. Got something decent ask, from Google Gemini. I wouldn't use these, per se, but it at least, gave me one, you know, slightly different, layout for my podcast, design. Cool. Let's do another one.

Jordan Wilson [00:29:51]:
Here's one that I think just about everyone might be able to take advantage of. Again, I'm trying to find some general, use cases that will be helpful for you all. So now what I'm doing is I'm essentially gonna drop my everyday AI logo in here, and I'm saying put this on a bunch of mock ups, you know, t shirts, put it on, you know, mugs, etcetera. Right? So so nothing nothing crazy, but I am saying make sure it's three d, make sure it's realistic. Right? And put it on actual people. Right? And I wanna see how good of a job it does at just transferring the logo and making it look real. So it's already done on Google Gemini. In that ten seconds where I was copying and pasting the prompt and going over to Google's AI studio, it's already done in Google Gemini.

Jordan Wilson [00:30:42]:
So, the photos themselves, let's take a look. It did a good job of transferring the logo. The logo looks a little bigger, than it probably should. I'm a fan of, like, smaller logos, but the photos look, you know, fairly okay. They look obviously AI generated ask. Right? If these were on social media and small, you wouldn't be able to tell. I can tell. Here's another one of a woman.

Jordan Wilson [00:31:08]:
Again, the logo is pretty big, and then here's one of the water bottle. So not a huge fan of the, giant logo. So I'm just gonna say, I'm gonna say make the logo. I'm gonna say make the logo, much smaller and realistic and the logo lettering in black and white and ensure it looks more stitch, stitched on the clothing. Not screen printed. Yeah. We gotta get that good stuff. Alright.

Jordan Wilson [00:31:40]:
So, just iterating on the prompt. Let's see what Google AI Studio did. Google AI Studio did a pretty good job here. They gave me, kind of a water bottle on the desk with a person in the background. Nice kind of bokeh effect. Right? That looks really nice. Again, logo looks a little comically large for a water bottle. Maybe not.

Jordan Wilson [00:31:59]:
I guess I'm holding up my kind of water bottle I got here, my Chicago Bears one. That's a ridiculously big Chicago Bears logo, so I don't know. Maybe that's the right size. Another one here, pretty good. The logo just looks screen, screen printed though. So that's why in Google Gemini, I asked for it to be kind of stitched. Alright. So I iterated on the prompt here, did a good job.

Jordan Wilson [00:32:22]:
It made the logo black and white, and it looks less screen printed on this original photo. It looks like, you know, two college age, you you know, kids, in a city, and it made the logos a more appropriate side and made it black and white, and it looks stitched now versus screen printed. So overall, pretty good. Pretty good. Better than the podcast cover art if I'm being, if I'm being honest. So you can see so far, you know, a lot of times you have to reiterate. Right? You're not gonna be knocked out of the park with your first, depending on what you're doing. Right? I'm I'm trying to do more general use cases.

Jordan Wilson [00:33:00]:
I could cherry pick things that I knew would be extremely impressive, but I wanna give examples that at least for our podcast audience and for our nontechnical, non creative people watching here on the live stream that, you know, some something that might resonate. So here we go. Let's do this one. You know what? I'm gonna switch this one up. So I have a photo of me in front of a green screen. Alright. And let's just go ahead so you guys can see this. There you go.

Jordan Wilson [00:33:28]:
So photo in front of green screen, and I'm just gonna say, let's see. There we go. I'm I'm improvising here. So I'm gonna say, make this a full body shot of me walking around in downtown, Downtown Chicago. Alright. I love typing live. Alright. Downtown Chicago.

Jordan Wilson [00:33:57]:
There we go. So this photo is from, like, the shoulders up. I'm in front of a green screen. The rest of my body is obviously not showing. So let's see how nano banana in Gemini and in Google AI studio, handle this. So there we go. All right. I did it in Gemini.

Jordan Wilson [00:34:20]:
I did it in Google AI studio and Gemini done. Y'all that took again so fast, so fast. All right. So, looks like a pretty good photo. It made me like six foot two, which I'm here for. It looks like I'm like in this photo, it looks like I'm like blinking or something like that, but not bad. So I'm gonna say, move me off center and a happy, expression with wide eyes. Right? So let's see how this does.

Jordan Wilson [00:35:00]:
And again, I'm looking for this consistency, right? It's weird to say character consistency when it's myself. But there we go. Okay. So now I'm slightly, slightly off centered, a little bit to the right. I should have said, you know, using, like, rule of thirds, go to the, you know, right third. But here we go. So again, does this look exactly like me? Not necessarily, but it actually did a pretty good job, inside Google Gemini, of moving me to the right. So now I could say something like make it night time and keep everything else safe.

Jordan Wilson [00:35:41]:
So this is where you can see how, you can save a ton of time, maybe doing something that you might normally have to do, in Adobe Photoshop, right? With a simple text prompt, it didn't take long. This one actually doesn't look good. It's done. It looks a little, from a lighting perspective. It doesn't really resonate. So it actually did a really good job, with the background objects and the people in the background and kind of better illuminating them under, kind of, darkness of Chicago. But at least for this version of me in the foreground, I don't think it did that great of a job. Again, maybe I'm nitpicking a little bit here.

Jordan Wilson [00:36:25]:
Alright. So let's see how Google's AI studio did, with the same prompt. Just make this a full body shot of me walking around Downtown Chicago. This one actually looks much more like me. Pretty good, actually, I'd say. So, I'm just gonna iterate on this one. Same thing. I'm gonna say make this nighttime.

Jordan Wilson [00:36:47]:
Keep everything else the same. See how it turns out. I was gonna do, actually, let me just do one more, quickly. I'll make this one quick and explain exactly what I'm doing just to show you some of the other capabilities. Alright. Google's AI studio did a much better job, converting that one, to nighttime. Again, just taking a photo, of myself kind of from the, you know, forearms or, from my elbow up. Looks pretty pretty much like me, not a 100%, but much better than g b t four o image would do.

Jordan Wilson [00:37:23]:
Put me in Chicago, change it from, you know, daytime to nighttime, did really, really well. Here's one other capability that I really like, and I think a lot of people could find some use for. Alright. I'm just gonna let it run because it might take a second, but all I'm doing here is I have a prompt and I set at the very top of this. Alright. I'll just read it out here. I said, this is text from my website, which mainly contains the transcript of a podcast episode of Everyday AI. Please create one detailed infographic or a series of images that accurately displays the main takeaway messages from the transcript.

Jordan Wilson [00:37:57]:
Be specific. Here's the text. Right? And then there's a forty minute transcript of, my podcast episode, from yesterday on the, MIT study of ninety five percent of AI pilots failing. Bad study, by the way. Anyways, so I kind of left it up to, nano banana to just be like, yo. Okay. Interesting. So it didn't, it's because okay.

Jordan Wilson [00:38:24]:
That was my bad. I forgot inside Gemini, to have images selected. So I have to still, have that images, selected in the toolbar where in Google AI studio, you don't need that. So let's see what Google AI studio finished. Okay. This is this is pretty good. So I'll have to go through and check for accuracy. But this is really, really good.

Jordan Wilson [00:38:50]:
So what it did is it kind of created it looks like it kind of took four main takeaways, and it really deconstructed, the entire this is so good. So it it pulled, you you know, it pulled logos. Right? Because I was talking about, you know, a Boston Consulting Group, study. It pulled BCGs. It pulled snowflakes logo. It put the actual stacks that I use. Although there's, a couple of letters that maybe, don't look like are a 100% correct even though I know what they're saying, but it made a four column graphic. It looks professionally designed, maybe not the highest end designer, but this looks like something you might get with a junior designer, if the letters were all correct.

Jordan Wilson [00:39:33]:
It looks actually really good. It's an infographic. There's, you know, kind of, some icon, some icons and circles and logos and big pull out stats and little quotes. It looks really, really good, actually. I'm surprised, at how good this one turned out and then even put the, the everyday AI logo on there or the, the the the website. So, that's nice. Let's see the, Google Gemini version. Okay.

Jordan Wilson [00:40:02]:
Interesting. This one is actually even more visual. So I'm clicking on it. At the top, it says debunking the 95% of AI pilot failure myth. It put the, the episode number. It says why the study is flawed, five major red flags. But let's see. It looks like out of the five major red oh, yeah.

Jordan Wilson [00:40:22]:
They're all right there. One, two, three. It looks like they just got one of the numbers wrong, but they got them all in there. It kind of dissected the viral claim, talked about the stock market drop, and it illustrated that pretty good. And then on the side, it said key lessons for business leaders, dig deeper, go beyond sensationalized headlines, examine data window, understand realistic ROI timelines, examine data window. So it duplicated that headline, validate benchmarks, misspelled benchmarks. Okay. So a couple a couple misspellings, but overall, y'all, I just dumped, you you know, with some iteration and saying, hey, change these things or, you know, this is wrong, this isn't.

Jordan Wilson [00:41:02]:
But the other thing, if you have, a library of of, visual assets that you've already, deployed in your organization. You just upload those and you say, here's the new info and update this. Right? And it might get one or two words wrong, but, you know, I know as someone that used to design a lot before Canva. Right? Bless up Canva. But I remember in Photoshop putting together, you know, flyers or infographics. Right? Like like this. And it would take hours, hours. Right? So if you have something that you've already designed professionally, it looks great, you can literally upload that as a template or inspiration, throw a bunch of new docu new information at it and it will, you know, won't get it a 100% right each time, but it's probably gonna save you 80% of the time or, you can even export it and then bring it to something.

Jordan Wilson [00:41:54]:
And this is what I I do right now. Bring it to something like Canva because there's a great feature in Canva called their magic text grab. So let's say you get, you know, one of these, infographics. You're like, oh, this is perfect. You know, we talked about this at our meeting last week. We said it's gonna take, you know, $5,000 project, and we're gonna hire our, you know, contractor designer or something like that. And you're like, okay. Well, I can either just do it in house or give them a very good looking version to start with, you know, so you can export this, from, Nano Banana, bring it into Canva, use the AI magic text grab, correct any of those things that are slightly off or any misspellings, and you're good to go.

Jordan Wilson [00:42:34]:
Alright. So demos demos happen at about a b minus, but that's to be expected. So, let's wrap with five other use cases. So I showed you it's Wednesdays. I showed you ways that I'm gonna be using, Nano Banana. I think the last one, I'm probably gonna be using a lot more, putting in a bunch of podcasts, transcripts, newsletter, having predesigned assets, upload them as, kind of inspiration, and then putting all of our information in those and then, you know, doing some slight tweaks, in Canva. That's how I'm gonna be using Nano Banana, but here's some, other use cases. So real estate marketing, this is huge, y'all.

Jordan Wilson [00:43:16]:
You can create professional listing cards by placing the same property in different lighting conditions, seasons, or with different furniture arrangements, all while maintaining the exact same architecture details and proportions. So the same way that you can have character consistency with humans, think about the thing you can do on the inside. Right? And if if you're building out new warehouse plans, whatever it may be, this is great. Product, product catalog creation, you can transform a single product photo into multiple marketing angles and environments. You know, you can show your furniture in various room settings or place your, you know, your water bottle or whatever thingamajig you your your company sells into different lifestyle context, etcetera. Yeah. This is obviously big for e commerce. Next training material visuals.

Jordan Wilson [00:44:01]:
So you can convert complex diagrams, workflows, and instructional content into clear professional presentations by combining screenshots, arrows, text overlays, and educational graphics in one seamless image. So, yeah, that's another thing that you can do. If you have, like, an older asset that you need uploaded, you can literally just throw it in Canva or just annotate it and being like, change this, make this brighter. You know, put this new product in here. So you can literally annotate on an old image, put it some additional smaller assets in there, and Nano Banana's gonna do it. Right? So, oh, here's this great amazing, you you know, photo that we use. It was the front page of our, you know, magazine, but, you know, it has a bunch of old products or, you know, whatever. You can literally just circle them in red Sharpie and then upload the new products and, you know, banana will replace it.

Jordan Wilson [00:44:52]:
Alright. Interior design mock ups. Already kinda talked about this, but specifically for interior design versus real estate. So you can help clients visualize office layouts, retail spaces, or home improvements by digitally placing furniture, changing wall colors, etcetera. This is something I'm not gonna be doing this for everyday AI, but I'm gonna be doing this for my home. Right? We, me and my wife been talking about, oh, you you know, where should we hang, you know, these photos? What should we hang all these things? And, you know, a lot of times it's just like, you know, decision overload. It's like, you know, just leads to nothing. So this is gonna be great.

Jordan Wilson [00:45:25]:
I'm gonna be using that, almost immediately, in that, regard. Then also another fun one that I'll probably be using is instant AB test variations. So, again, if you have a designer marketer on your team, an old ad that you ran previously, find your best ad, upload that, upload other smaller assets, and you can just generate a bunch of different variations of winning assets without having to go through and do it manually. All right. I hope that was, I hope that was helpful. Y'all so nano banana is no longer a mystery. It is Google's newest model, Gemini 2.5 flash image. And like I said, this is a completely off the charts useful model.

Jordan Wilson [00:46:12]:
If you're looking for, one shot easy jaw dropping results, you might be able to get those, in predetermined scenarios, but this does require working with the model and just getting your reps in. Right. So right now I don't have enough reps in. So that's why, you know, the the demos are a little clunky, and I don't even have the best use cases worked out. But I hope throughout this, you did see the potential, and for people who could watch it. And again, podcast audience, thanks for sticking with me, but make sure you go watch the YouTube version, or go check this out on LinkedIn or on our website at youreverydayai.com. I think you'll be able to see from the results, you know, you're not gonna always get to an a plus. Right? Something that you'd pay $2.03, $20, a designer for, you know, or a photographer for.

Jordan Wilson [00:47:05]:
But you can get 80% of the way there in 10% of the time for 1% of the cost. And by 1% of the cost, like zero percent of the cost. Right? Because like I said, Google AI studio, available for free. You can go and use nano banana. So I hope this was helpful. If so, tell someone about it. If you're listening on the podcast, please subscribe and follow the show. I'd appreciate that.

Jordan Wilson [00:47:28]:
Thank you for tuning in. Hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.