Build AI-powered websites and apps easily with Greta, an AI-driven no-code platform. In this hands-on review, I share how I used Greta’s chat-based builder to create a full-stack app in minutes – no coding required. Discover its features, real-world examples, and why AI app builders are a game-changer for beginners and pros alike.
I remember when building a website meant learning to code or spending hours dragging-and-dropping elements. It felt like only tech wizards could create real apps from scratch. So when I heard about Greta, an AI that lets you build AI-powered websites and apps just by chatting, I was intrigued – and a bit skeptical. Could I really just describe an app idea and have it up and running? 🤔 Well, I gave Greta a try, and it felt like having a magic wand for web development. In this post, I’ll share my experience using Greta to build a full-stack app with nothing more than a prompt, and why I think it’s a game-changer for anyone who has a great idea but no coding skills.
What is Greta?
Greta is essentially an AI-powered full-stack app builder that turns your words into a working application. Think of it like having an expert developer friend who never sleeps – you tell Greta what kind of website or app you want, and it generates the code, design, database, and even deploys it for you. You don’t have to write any code yourself.
In simpler terms, Greta is a chat-based tool: you just type in a prompt describing your idea, and it builds the app for you. For example, if I ask, “Greta, create a personal blog site with a home page, about page, and contact form,” it will literally generate that site’s front-end (the pages and design), set up the back-end logic (like form handling or databases if needed), and get it running online. All that in a matter of seconds or minutes. It’s like talking to an AI web developer who understands your requests and does all the heavy lifting.
To give you an idea of how people are reacting to Greta: users have praised its ease of use and efficiency in creating full-stack applications without coding. They love its sleek, chat-style interface that makes building and deploying apps feel intuitive. In fact, many individuals and startups share stories of how they spun up functional websites and apps in no time, thanks to Greta’s no-code approach. Hearing those success stories got me excited to try it for myself!
How Does Greta Work?
Using Greta feels a lot like texting a very knowledgeable friend who can build software. You enter a description of what you want, and Greta’s AI brains generate the necessary code and design automatically. Here’s a quick rundown of how it works when I used it:
- Step 1: Describe Your App Idea. I started by typing a prompt in plain English: for example, “Build a recipe sharing app where users can post recipes with photos, and have categories for different cuisines.” This was just me describing the concept – no special syntax or technical jargon needed.
- Step 2: Greta Generates the App. After a few moments of “thinking,” Greta produced the application. It set up a working React frontend (the user interface of the app) and the backend logic (for handling data like recipe posts and user accounts). It even created a simple database to store the recipes. I could see a preview of the app with a basic but functional layout: a homepage listing recipes, a form to add new recipes, and category filters. I was honestly amazed – it was like I had coded for weeks, but it all happened in less than a minute!
- Step 3: Instant Deployment. Here’s the really cool part – Greta can deploy the app for you instantly, meaning it makes the app live on a URL. In my case, I clicked a deploy button (no configuring servers or anything – Greta handled it), and I could actually visit my new recipe app in a browser. 🎉 If you’ve ever tried to deploy an app manually, you’ll know this usually involves a lot of setup, but Greta turned it into a one-click step.
- Step 4: Refine via Chat. What if the app Greta generates isn’t exactly what you envisioned? No problem – you just tell it what to change. In my recipe app example, I decided I wanted a rating system for recipes. So I literally typed, “Add a 5-star rating feature for each recipe.” Greta went ahead and modified the app: it updated the code to include a star rating component on each recipe. I didn’t have to touch the code myself; I just described the new feature in the chat and watched as it updated the app in real-time. This ability to iterate and refine on the fly is a huge advantage – it’s like brainstorming with your AI developer and instantly seeing the results.
Under the hood, Greta uses advanced AI (likely leveraging large language models similar to ChatGPT) to write code and wire things together. It’s not just spitting out sample code for you to copy– it actually integrates the code into a running application. In other words, Greta doesn’t just advise or suggest – it builds and takes action. One tech blogger described it well: unlike many AI assistants that only give you text or code snippets, Greta actually writes the frontend and backend code, launches A/B tests, and executes tasks inside your product automatically. It’s an AI that does, not just talks.
Key Features of Greta
Let’s break down some of Greta’s standout features that I discovered:
- 📝 Prompt-to-Code: This is the core of Greta. You type a description, and it translates it into working code for the full stack. Frontend UI, backend logic, database schemas – all of that from your prompt. It’s as if you wrote a complete specification document and a team of developers instantly built it out.
- 🚀 Full-Stack Deployment: Greta doesn’t stop at writing code – it also deploys your app. It can host the app via services like Netlify or its own cloud, so your website is live on the internet without you configuring any servers. I was impressed that after generating my app, it gave me a live URL to access it.
- 🔗 Integrations & Growth Tools: One unique aspect is that Greta comes with a library of built-in integrations (the site mentions 50+ “growth tools”). These include things like analytics, email marketing, CRM, and A/B testing integrations. For example, if you want to add a newsletter signup or connect your app to Google Analytics, Greta has modules ready to plug in. It’s pretty much “batteries included” – the kinds of features startups usually add for growth (user analytics, email welcome flows, etc.) are available out-of-the-box.
- ⏱ Real-Time Iteration: The chat-based interface isn’t just for the initial prompt – you can keep giving instructions to update the app on the fly. Greta can modify the app’s code and redeploy changes within minutes. In my testing, this meant I could fine-tune the app’s features or appearance just by saying things like “make the header blue” or “add a search bar on the top.” It felt interactive and immediate – no lengthy development cycles, just instant results.
- 💻 Code Access & Export: Even though you don’t need to code, Greta doesn’t lock you out of the code. I found that you can actually view the code it generated, and even sync it to a GitHub repository if you want. This is great for learning (you can see how the AI structured your app) and for hand-off to developers later. Essentially, you own the code of your app, so if you or a developer friend wants to tweak it manually, you can.
- 🤝 Collaborative & Team-Friendly: Greta is designed not just for solo creators, but also for teams. Because it’s cloud-based and integrates with many tools, multiple team members (like a product manager, marketer, and developer) could all interact with it to spin up experiments or pages. In fact, compared to some AI tools that are more single-user focused, Greta is team-ready – everyone from a non-tech founder to a developer can leverage it to speed up their work. For example, a marketer could ask Greta to build a promotional landing page for a campaign, while a developer oversees the code integration – all in a fraction of the time it would normally take.
- 🌐 Templates & Use Cases: While I mostly played with custom prompts, I noticed Greta offers templates for common app types. Whether you need a simple blog, an e-commerce site, a dashboard, or a mobile app, there are likely starting points you can use. This is handy if you’re not even sure where to begin – you can load a template and then customize via prompts.
In short, Greta combines the power of a coding framework, a deployment platform, and an AI assistant all in one. It’s this combination that allows a complete novice (like my younger self who only knew how to make basic HTML pages) to create a modern, database-backed web application just by describing what they want.
Why Build AI-Powered Websites and Apps? (The No-Code Revolution)
You might be wondering, “This sounds cool, but is using AI to build apps just a gimmick?” Absolutely not – it’s part of a bigger movement in tech. Let’s zoom out for a moment.
No-Code/Low-Code Trend: In recent years, there’s been explosive growth in tools that let people build software without traditional coding. It’s not just niche hobbyists now – businesses are adopting these platforms at high speed. By 2025, roughly 70% of new applications developed by enterprises will be using low-code or no-code technologies, up from just 25% in 2020. That’s a massive shift, largely driven by the need to build more software faster than the old ways allow.
Speed and Cost Efficiency: Why are so many turning to no-code and AI builders? Because it dramatically cuts down the development time and cost. Traditional development can take months and a lot of $$$, but no-code platforms can slash that timeline significantly. In fact, studies found that no-code solutions can reduce development cycles by over 90% in some cases. That means what used to take a team of engineers a whole season to build might now take a single person a week, or even just days. I’ve felt this myself – the recipe app I mentioned would have taken me weeks to code from scratch (and honestly, I might have given up), but Greta gave me a functional version in one afternoon. This speed is not just convenient, it’s empowering. If you have a business idea or a school project due, you don’t have to shelve it because of technical barriers – you can bring it to life right away.
And it’s not just time; it’s money saved. Hiring developers or learning to code yourself is expensive. Using an AI builder like Greta, you can achieve in minutes what might cost thousands of dollars in dev work. Plus, because you can iterate so quickly, you can experiment with multiple ideas without blowing your budget. (Ever had two or three app ideas and can’t decide which to pursue? With these tools you could prototype each to see which one clicks!)
Innovation for Everyone: I find the coolest aspect of AI-powered development is how it opens the floor to everyone, not just those with a Computer Science degree. You can be a 16-year-old student with a startup idea, a marketing manager who needs a custom analytics dashboard, or a small business owner wanting an online ordering system – and you can create these solutions yourself. This democratization of app creation means more diverse ideas get a chance to blossom. It reminds me of when blogging and YouTube first became a thing; suddenly anyone could be a content creator. Now, anyone can be a software creator. As one example, there’s a trend called “vibe coding” where people literally describe what they want in natural language and the AI builds it – no formal coding at all. Greta is a prime example of vibe coding in action.
To put a number on the trend: low-code/no-code platforms have been shown to deliver software 10 times faster than traditional development on average. So it’s not hype, it’s actually happening. Businesses have noticed that, too – by using these tools they not only save time, but also cut development costs (some reports say by up to 70%!) and see big ROI boosts.
In short, building AI-powered websites and apps isn’t just a fad – it’s likely the future of how things will be built. It combines the creative freedom of just expressing what you want with the efficiency of automation. And having now built a project with Greta myself, I can totally see why this is taking off.
Real-World Example: Building a Web App in Minutes
Let me walk you through a concrete example from my own experience. I decided to create a simple task manager app (think Trello or a to-do list app) using Greta, just to see how it handles something a bit interactive.
- Idea: A kanban-style task board where I can create columns (To-Do, In Progress, Done) and move task cards between them. Users should be able to sign up/log in, create new tasks, and drag and drop tasks between columns.
- Prompt: I went to Greta and typed something along the lines of: “Build a task management web app like Trello. It should have a board with columns for tasks, user login, and the ability to drag and drop tasks between columns.” I know that’s a lot of details, but I wanted to see if Greta could handle a fairly detailed request.
- What Greta Did: This was amazing – within about a minute, Greta generated a full application for me. It had:
- A login/signup system (so users can have accounts and their own task boards).
- A main board interface with three lists (exactly like To-Do, In Progress, Done).
- The ability to create new task cards (each card had a title and description field).
- Drag-and-drop functionality, so I could literally drag a task from To-Do to Done, etc.
- A backend that was saving these tasks (so if I refreshed the page or logged out, my tasks stayed in the right places).
- I was floored. 😲 This is a non-trivial app even for an experienced developer, and yet Greta assembled the pieces automatically. It used some pretty advanced components (I suspect under the hood it used a React drag-and-drop library, user authentication setup, etc., all without me needing to know that).
- Testing it Out: I signed up as a new user in the app (just to test the flow), added a few tasks, and moved them around. It worked! The interface was basic-looking (not a fancy design, kind of like a plain Bootstrap style), but everything functioned as requested. Honestly, it felt like magic seeing my idea up and running so quickly.
- Refining the App: I noticed the app didn’t have a feature to invite other users or share boards (it was just a personal board). I decided to see if I could push my luck. I typed: “Allow users to create a team and share their task board with others, so multiple people can collaborate in real-time.” Now, this is a complex feature — even many mature task apps struggle with real-time collaboration. Greta responded saying something like “This is a bit complex” and it suggested a simpler approach: enabling multiple users to be added to a board (without real-time sync). It proceeded to modify the app so I could add users by email to my board. This way, if my friend also signed up on the app and I added her, she’d see the same tasks I do. Real-time syncing wasn’t fully there (we had to refresh to see updates), but still – in about 5 minutes, I got a multi-user task board feature. I was quite impressed that Greta could extend the app with that capability just from my request, even if it simplified the implementation.
From this experience, a few takeaways:
- Greta handles typical app features (user accounts, forms, lists, moving elements, saving data) exceedingly well.
- It may have limits with highly advanced stuff (like true real-time collaboration or very custom logic), but it often will try to provide a solution or at least a starting point.
- The speed of going from idea to something tangible is what really struck me. I had a working prototype of a task app in less time than it takes to cook dinner. This would have been unthinkable a few years ago.
Real-world examples like this underscore why AI app builders are so exciting. If I, an average tech-savvy person but not a pro coder, can create a complex app in an afternoon, what could you create with that kind of power at your fingertips? It lowers the barrier to turning ideas into reality. I’ve seen others build things like personal portfolio sites, small e-commerce shops, chatbots, and even mobile apps with similar AI tools. One user even mentioned building their business website over a weekend using Greta, when they originally thought it would take months and a web agency to do it – talk about empowerment!
Who Should Use Greta?
By now, you can tell I’m pretty sold on the idea that Greta can help just about anyone build something cool. But to be more specific, here are some types of people who I think would especially benefit from a tool like Greta:
- 💡 Startup Founders & Indie Hackers: If you have a startup idea or side project you want to launch fast (maybe to test the market or show to investors), Greta is perfect. It’s an MVP (minimum viable product) machine. You can launch a prototype of your app without hiring developers, which is ideal for bootstrappers. For example, a founder friend of mine used an AI builder to create a beta version of a travel app to show at a pitch competition – it saved him tens of thousands in dev costs upfront.
- 📈 Marketers & Growth Hackers: This is actually Greta’s sweet spot (the company behind Greta, Questera, markets it as a “Growth Engineering Agent”). If you’re a marketer who needs landing pages, promotional microsites, or custom analytics dashboards quickly, Greta can be your secret weapon. Instead of waiting in the dev team’s backlog for weeks, you can spin up what you need on your own. Run experiments, A/B test pages, gather user data – all without bugging the IT folks. In fact, Greta can even automate running growth experiments and reporting on them, which is like having a growth team assistant at your service.
- 🤖 Non-Technical Entrepreneurs: Not everyone who has a brilliant app idea knows how to code – and they shouldn’t have to. If you’re more of a business or creative person with ideas for apps or websites, Greta is made for you. It bridges that gap, so you can focus on your idea and user experience, and let the AI handle the technical implementation. I’d say anyone who’s ever said, “I have this idea for an app, if only I could make it…” should try describing it to Greta and see what happens!
- 🎓 Students & Educators: If you’re a student learning about apps (or even a teacher trying to show how apps are built), using Greta can be super educational. You can create examples of apps for assignments or school clubs without spending the whole semester coding. Also, because you can view the generated code, it’s a great way to learn how different components come together. For instance, a computer science student could use it to generate a base app, then dive into the code to understand how the AI structured it, making learning more interactive.
- 🧑💻 Developers (as a Booster): This one might sound odd – why would a developer use a no-code tool? But I know some coder friends who use AI builders to handle the boilerplate stuff. If you’re an experienced developer, you can let Greta draft the initial version of an app or a feature, then you take over to polish or extend it. It’s a bit like pair-programming with an AI. This can speed up development of internal tools or prototypes dramatically. Plus, since Greta allows exporting and syncing to GitHub, it can fit into a developer workflow as a starting point generator.
In summary, Greta is for anyone who wants to build something on the web but doesn’t want the process to be slow or tedious. Whether you can’t code at all, or you can code but want to save time, an AI app builder can amplify your productivity.
Tips for Getting the Most Out of Greta
Having played around with it, here are some of my personal tips if you decide to try Greta (or a similar AI app builder):
- Be Clear in Your Prompts: Greta is smart, but it’s not a mind-reader. The more clearly you describe what you want, the better it can build it. If you just say “make a website for me,” you’ll get something, but it might be too generic. When I was specific – e.g., “I need a site that has a gallery page with user-uploaded photos and a contact form” – the results aligned much closer to my vision. Think of it like giving instructions to a junior developer: clear, step-by-step wishes work well.
- Iterate and Refine: Don’t worry if the first version isn’t perfect. Consider it a draft. Then tell Greta what to improve. In my task board app story, the first version was good, but asking for refinements (like adding the team collaboration feature) made it even better. The ability to iterate quickly is one of Greta’s superpowers, so use it! It’s much faster to say “move the login button to the top right” and have the AI do it than for you to dig into CSS yourself.
- Use Templates as Starting Points: If you’re not sure how to frame your prompt, Greta’s templates are great inspiration. For example, there might be a “blog site” template or an “e-commerce shop” template. You can start with one and then customize. This way you’re not starting from a blank slate, and you can see an example of how a prompt might be structured.
- Leverage the Integrations: One thing I initially overlooked was all those built-in integrations. Don’t forget that you can ask for things like “add Google Analytics” or “connect a PayPal checkout” or “include a newsletter signup that connects to Mailchimp,” etc. If it’s a popular tool, chances are Greta can integrate it. This beats having to figure out APIs on your own. I saw that Greta’s docs mention it can connect with services like Salesforce, Stripe, HubSpot, and many others. So if your project needs some external service, try just asking Greta to add it.
- Review the Code (Optional): Even if you’re not a coder, peeking at the generated code can be insightful. It’s neatly organized (typically in a GitHub repo or in the interface). If you have some coding knowledge, you might spot places to tweak or optimize. If you have zero coding knowledge, you can skip this, but I mention it because one day you might hand off the project to a developer and they’ll appreciate that the code is accessible and not a black box.
- Be Mindful of Limits: Greta may have some usage limits (like a certain number of projects or AI credits, especially if you’re on a free trial or a specific plan). In the AppSumo deal I read about, they mention “credits” where each prompt might cost some credits. In practical use, I didn’t hit any hard limit, but I wasn’t building a massive app either. Just keep in mind that if you plan to use it extensively, you might need a paid plan for heavy usage. The good news is that compared to hiring a dev or subscribing to multiple services, it’s still likely very cost-effective (the AppSumo lifetime deal was $59+ which is pretty reasonable for what you get).
- Security & Export: If you build something serious, remember to consider security (e.g., change default passwords, review database rules, etc.) even though Greta sets these up for you. Also, if you ever want to move your app to another platform, you can export the code and deploy elsewhere. It’s nice to have that freedom and not be locked in.
Conclusion
Building websites and apps used to intimidate me – it felt like a realm reserved for seasoned developers or super tech-savvy folks. But after using Greta, I genuinely feel like anyone with an idea can turn it into a real, working product. I went from a blank canvas to a deployed app faster than I thought possible. It’s empowering, it’s fun, and it signals a future where creativity matters more than coding syntax.
Greta in particular stands out because it’s not just an isolated website builder; it’s a full-stack and AI-driven approach. It’s like having a smart partner who can handle both the front-end and back-end, plus knows how to plug into all the popular services you might need. And the best part? This partner listens to plain English. 😄
For someone like me who loves coming up with ideas (but doesn’t love the tedious parts of coding them from scratch), Greta is kind of a dream come true. Is it perfect? Not yet – you might still hit an edge case or need a human developer for very complex projects. But as a first resort for prototyping and launching new sites/apps, it’s incredibly effective. The technology will only get better from here.
If you’ve been sitting on an app idea or need a website for your business, I’d say give AI builders like Greta a shot. It’s a low-risk, high-reward proposition: worst case, you spend a few minutes and get a basic app that you can decide to improve later; best case, you’ll have exactly what you need and wonder why you didn’t start sooner!
FAQ (Frequently Asked Questions)
What does it mean to “build AI-powered websites and apps”?
“AI-powered” in this context means using artificial intelligence to assist in the building process (not necessarily that the website itself has AI for users). With tools like Greta, you leverage AI to generate the site’s code and features by simply describing what you want. Essentially, the AI is doing the heavy development work. The end result is a normal website or app, but the process to create it is AI-driven. This is part of the no-code or low-code movement where AI and automation help non-programmers create software. It’s a bit like having a smart robot programmer who turns your ideas into reality.
Do I need any coding skills or technical knowledge to use Greta?
Not at all! 🎉 Greta is designed so that anyone can use it without writing code. The interface is a chat or prompt box where you describe what you want in plain language. For example, you can say “I need a photography portfolio website with a gallery and contact page,” and Greta will handle the coding and creation. You don’t need to know programming languages, deployment, or any of that technical stuff. Of course, if you do have some tech knowledge, you might be able to fine-tune things more easily (since you can view the generated code), but it’s absolutely not a requirement. I’d compare it to using a very smart website builder – if you can write an email or a text message, you can likely build a site with Greta.
What kinds of apps or websites can I build with Greta?
A wide variety! Greta can create anything from simple static websites (like a personal blog or a business landing page) to more complex web applications (like e-commerce stores, dashboards, social apps, etc.) that have user accounts and database functionality. The key limitation is that it works best with well-described, standard features. So you can build things like: a blog, a forum, a task management tool, a basic social network, a portfolio site, a CRM-like admin panel, and so on. It even handles full-stack apps (frontend + backend). However, extremely complex or highly unique apps might require breaking your idea into smaller prompts or doing some manual coding later. But for most common app ideas, Greta will give you a solid working version. As an example, users have built functional full-stack applications in seconds with it – which is mind-blowing – including things like business websites, internal tools, and prototypes for startups.
How much does Greta cost? Is there a free version?
Greta’s pricing can vary, but at the time of writing, it was available through a lifetime deal on AppSumo for a one-time payment (around $59 for the basic tier). This kind of deal might not always be there, though. Typically, AI app builders like Greta have subscription plans or a credit-based system. Greta uses a credit system – each prompt or generation might use a certain number of credits. There may be a free tier that allows a limited number of prompts or a trial period so you can test it out. For serious usage (building multiple apps or very large applications), you’ll likely need a paid plan or to purchase more credits. Always check the latest pricing on their official website. The good news is that compared to the cost of hiring developers or subscribing to many separate services, Greta’s cost is relatively low for the value it provides (especially if you snag a lifetime deal). And remember, you’re not just getting a static website builder – you’re getting an AI developer. From my perspective, it’s worth it if you have projects to build.
Can I export the code from Greta or am I locked in?
You can absolutely export the code! One of the neat features of Greta is that it provides you access to the full source code of the applications it creates. You can even sync the project to a GitHub repository automatically. This means you’re not stuck on Greta’s platform – you could take the code and run it on your own servers or have a human developer continue working on it outside Greta. This is great for two reasons: (1) Ownership – you truly own the app you built and can maintain it long-term however you choose; and (2) Flexibility – if you want to extend the app beyond what the AI can do, a developer can pick up from where Greta left off. Many no-code tools don’t allow this (they lock you into their system), but Greta is more open in that sense. So you get the best of both worlds: fast AI development and the option for traditional development later if needed.
How is Greta different from other AI or no-code builders, like Bolt AI or traditional website builders?
Great question! There are a few angles to this:
- Compared to Traditional Website Builders (e.g., Wix, Squarespace): Those builders are mostly drag-and-drop for front-end design and are limited to website functionality. Greta, on the other hand, is generating actual code for full-stack apps. It’s more powerful in that you can create custom application logic, not just design a static site. It’s also conversational – you tell it what to do, rather than manually doing it yourself. It’s like the next evolution: from drag-and-drop to just talk and build.
- Compared to Other AI Builders: There are emerging AI app builders like Bolt AI, Lovable AI, etc. From what I’ve seen, Bolt AI is more of a personal AI assistant that integrates with your Mac and apps (and even runs offline for privacy). It’s great for individual power users but not aimed at building full-stack web apps for teams. Lovable AI (and others) are also in this space. Greta’s edge is that it’s very action-oriented and team-friendly – it doesn’t just give suggestions or pieces of code, it builds complete solutions and is designed for growth teams and businesses to use collaboratively. One Questera blog even called Greta a “Growth Engineering Genie” because of how it actively implements strategies and writes code for you. So while other AI tools might help you brainstorm or code small bits, Greta tries to handle the end-to-end execution (from coding to integrating with other tools). It’s like comparing an AI writing assistant (that helps you write paragraphs) to an AI publisher that writes the book and prints it and sells it for you – Greta is closer to the latter in the app development world.
- In summary: Greta is focused on building and launching full applications without code, with a particular strength in growth-related features. Its competitors might do parts of that or focus on specific niches (like personal automation, etc.), but Greta aims to be the all-in-one builder with an AI brain.
Is it safe and scalable to use an AI-built app?
These are important concerns! Safety-wise, any reputable AI builder like Greta will implement standard security practices in the code it generates. For example, when I had Greta set up user accounts for my app, it handled password storage securely (most likely hashing passwords, etc.) just as a good developer would. However, I always recommend reviewing critical aspects of your app (or having someone technical do it) if it’s something serious – just to double-check there are no vulnerabilities. Greta is relatively new, so as with any new platform, you keep an eye on updates and community feedback regarding security. Scalability-wise, the apps built by Greta use real web frameworks (like React, Node.js/Express, databases, etc.), which in theory can scale like any app written by a developer. If your app suddenly has thousands of users, you might need to move it to a more robust hosting or optimize it, but since you have the code, you can do that. One thing to note: Greta’s generated apps are great for getting started and medium-scale usage. If you anticipate enterprise-level scale or highly complex transactions, you might eventually refactor parts of it with engineers. But for most small-to-medium applications, an AI-built app can be as scalable as you design it to be (and Greta’s team likely considered common scaling issues in their code templates).
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