This Google AI Agent Builds Real App Prototypes!

Key Takeaways

This Google AI agent builds real app prototypes. Today, I'm going to show you how Google just dropped an AI agent that actually builds working app prototypes for you. This thing codes, this thing designs, this thing even debugs itself. And the crazy part, it's completely free right now while everyone's sleeping on it. I'm about to walk you through exactly how to use this to prototype new tools for your business in minutes instead of weeks. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Let me tell you what just happened. Google released something called Stitch. And this is not your typical AI tool that just spits out code that doesn't work. This is different. Stitch is an AI agent that actually builds functional prototypes, real apps, real interfaces, real working software that you can actually use. Most AI coding tools give you broken code. You paste it, it doesn't work. You spend hours fixing it. That's the problem. Stitch solves this because it's an agent. It doesn't just write code and walk away. It stays with you. It tests the code. It fixes the bugs. It iterates until the prototype actually works. Here's why this matters for your business. Let's say you run the AI profit boardroom and you need a new lead capture tool. Normally, you'd hire a developer. That costs thousands. It takes weeks. With Stitch, you describe what you want and it builds a working prototype in minutes. You can test it with a real users. You can see if the idea actually works before spending serious cash on development. This changes everything about how fast you can move. I'm going to show you exactly how to use this tool. We're going to build a real prototype together and I'm going to show you the prompts that get the best results. But first, you need to understand what makes Stitch different from every other AI coding tool out there. Most tools are one and done. You ask for code, they give you code, that's it. Stitch is an agent. That means it has a workflow. It plans, it codes, it tests, it debugs, it keeps going until the prototype actually functions. Here's how the agent works. You give Stitch a description of what you want to build. It starts by creating a plan. It breaks down your request into steps. Then it starts coding. But here's the key part. After it writes code, it doesn't just stop. It runs the code. It checks for errors. If something breaks, it goes back and fixes it. This loop continues until you have a working prototype. That's what makes it an agent instead of just a code generator. Let me show you a real example. I'm going to use Stitch to build a landing page analyzer for the AI profit boardroom. This tool will take any landing page URL, analyze the copy, and suggest improvements using AI. This is exactly the kind of tool that would normally cost $5,000 and take a developer 2 weeks to build. We're going to prototype it in the next 10 minutes, and you're going to see every step. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Google Stitch. The link is in the comments and description. It's at school.com/iprofitlab. First, I go to Google Stitch. The interface is simple. There's just a text box. No complicated settings, no confusing options. Just describe what you want. So, I type this build a landing page analyzer that takes a URL as input, scrapes the page content, analyzes the headline, sub headline, and call to action, then provide specific suggestions to improve conversion rates for an AI automation community. Make it clean, modern, and easy to use. Watch what happens next. Stitch doesn't immediately start coding. First, it creates a plan. It says it's going to build a web interface with an input field for the URL. It's going to create a backend that scrapes the page. It's going to use AI to analyze the content and it's going to display the results in a clean format. This planning phase is important. It means the agent understands the full scope before it starts writing code. Now it starts building. You can see the code being written in real time. It's creating the HTML structure. It's adding the CSS styling. It's writing the JavaScript functions. And here's the cool part. Every few seconds it pauses and tests what it just built. You can see it checking if the interface loads correctly. You can see it making sure the input field works. This is not just dumping code. This is methodical development. After about 2 minutes, it has the first version. But there's a problem. The scraping function isn't working. In a normal AI tool, you'd be stuck. You'd have to debug it yourself. But Stitch sees the error. It reads the error message. It figures out that it needs to handle cause issues differently. And it rewrites that section of code automatically. No input from me. It just fixes itself. Three minutes in and we have a working interface. I can enter a URL. I can click analyze. But the AI analysis part isn't connected yet. Stitch recognizes this. It adds the API connection. It sets up the prompt that will analyze the landing page. It tests the full flow URL input to scraping to analysis to displaying results. And now it works end to end. This is a functional prototype. Could I launch this as a product right now? No. It needs security. It needs optimization. It needs proper hosting. But can I test this idea with real users today? Absolutely. Can I see if people actually want this tool before I invest thousands in development? Yes. That's the power of rapid prototyping with an AI agent. Let me show you another example. I'm going to build a member dashboard for the AI profit boardroom. This dashboard will show member progress, display their completed automation projects, and suggest next steps based on their goals. This is more complex. It has multiple pages. It has data management. It has personalization. Let's see if Stitch can handle it. I give Stitch the prompt. Build a member dashboard with three pages. First page shows member name, join date, and total automations completed. Second page displays a list of their completed projects with titles and dates. Third page analyzes their activity and suggests three next automation projects they should tackle. Use a modern design with a sidebar navigation. Make it responsive for mobile. Stitch starts planning again. This time the plan is more detailed because the project is more complex. It's going to create a multi-page structure. It's going to use local storage to simulate a database. It's going to build a recommendation engine based on the user's history. The planning takes longer this time, about 30 seconds instead of 10. That makes sense. More complexity requires more planning. The building phase starts. Stitch creates the HTML structure for all three pages. It builds the sidebar navigation. It adds the routing so you can switch between pages. And again, it tests constantly. Every time it adds a major feature, it stops and runs the code. The navigation works, the pages load, the data displays correctly. 5 minutes in and we hit an issue. The recommendation engine is giving generic suggestions instead of personalized ones. Stitch catches this during testing. It realizes the logic is too simple. So, it rewrites the recommendation algorithm. It makes it check which categories the user has already completed. It makes sure the suggestions are actually relevant to their history. Then it tests again. Now the recommendations make sense. 7 minutes total and we have a working member dashboard prototype. Three pages, navigation, data display, personalized recommendations, all functional, all tested, all working. This would have taken a developer a full day at minimum, probably two days to do it properly. We did it in 7 minutes. Now I want to talk about the prompts that work best with Stitch because not all prompts are created equal. A vague prompt gives you a vague result. A specific prompt gives you exactly what you need. Here's what I've learned after building a dozen prototypes with this tool. First, always describe the user flow. Don't just say build a tool that does X. Say build a tool where the user first enters their information, then clicks analyze, then sees results displayed in a card format. The more you describe the flow, the better Stitch understands what to build. Second, mention the visual style you want. Modern, minimal, professional, playful. These words actually affect how the interface looks. Third, specify the key features. If you want export functionality, say it. If you want mobile responsive design, say it. Don't assume the agent will add features you didn't mention. Let me give you a perfect prompt structure. Build a tool that helps users do specific task. The user starts by doing first action, then they do second action. The tool then does what the tool does. Display the results using specific format. Use a visual style design style. Make it feature one and feature two. That structure works every single time. Here's a bad prompt. Build me a landing page tool. That's too vague. Stitch will build something, but it probably won't be what you actually wanted. Here's a good prompt. Build a landing page generator where users enter their business name, target audience, and main benefit. The tool then creates three different headline options, five bullet points highlighting benefits, and two call to action buttons. Display everything in a clean format that users can copy. Use a modern professional design with good spacing. Make it mobile responsive. See the difference? The second prompt is specific. It describes the flow. It mentions the outputs. It specifies the design. Stitch can build exactly that and it will work the first time. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Google Stitch. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. The link is in the comments and description. is at school.com/iprofit