Generate Flawless App UI/UX in Just 3 Steps with AI

With AI, the process of creating application designs is advancing every day. It has never been easier to build the app you envision with AI tools like Cursor and Claude Code. But there's a catch. Even though the process is more accessible, it's not always simple.

This publication has released many articles showing you how to improve your UI and the most efficient ways to achieve your design goals. Yet, we continue to produce more. That's because every day, something new emerges that completely revolutionizes our methods. Today, this article will demonstrate something incredible: how to generate apps with perfect UI/UX and create infinite variations of them.

The Advanced UI Workflow Explained

The UI workflow covered in this article uses a new feature from Claude Code called "sub-agents." These sub-agents are essentially markdown files that you can use in your own projects to delegate specific tasks.

The core principle of this UI workflow is to delegate each and every task to a specialized agent. Let me show you how it works, starting with the first step.

Step 1: Build the App's Structure (The UX)

This is where the Claude Code sub-agents truly shine. Let's begin with the Mobile UX Engineer agent. This agent's purpose is to take your abstract idea and develop it into a concrete structure.

For instance, I provided it with the concept of building a mobile app for a university, along with some basic requirements. You can think of this prompt as a Product Requirements Document (PRD)—just requirements, with no technical specifications or structural details. I simply described what I wanted the app to do: students should be able to access their attendance, check their schedules, view their grades, and so on.

Once this prompt is submitted, Claude Code activates the Mobile UX Engineer. And here's where it gets really interesting. Previously, Claude Code had a 200,000-token context limit per chat. Now, with sub-agents, that has increased because each agent that Claude Code fires up has its own context window. You can see the number of tokens this UX engineer consumed in its own sub-sessions. This means each agent gets a full 200k context window to work with, resulting in less hallucination and better performance.

The system went ahead and implemented the mobile app for university students. The resulting university portal was intentionally simple, without any colors. This is by design because coloring is a separate step. I specifically configured the Mobile UX Engineer to focus solely on layout and user experience based on the provided requirements.

What's remarkable is that the user experience this app delivers is truly exceptional. If I had just asked for a university app without splitting the process into stages, I might have gotten something that looked good visually, but the UX wouldn't be nearly as strong. By separating these concerns, the UX becomes much more intuitive and well-organized.

Behind the scenes, I've established behavioral rules for the system to first understand the reasoning behind the requirements and then systematically break down the PRD. The 200k context limit per agent is a significant advantage here, as it enables a thorough analysis of user needs before any building begins. After breaking everything down, it builds the mobile UI.

Note on Implementation: I primarily request HTML implementations. Editing HTML is incredibly straightforward. If I need a small change, I can easily ask for it. Using other frameworks would consume more tokens and compute power unnecessarily. HTML allows for easy modifications, and I've also included specific guidelines for creating UX that users genuinely appreciate.

The description component of the agent is absolutely crucial. It's what tells the system which agent to use for which task. We have two main agents: the UX Engineer and the UI Implementer. The system knows which one to choose based on these descriptions. The more detailed the descriptions are, the better the implementations will be.

To show the versatility of this system, I also requested several additional designs: an e-commerce mobile app, a cycle-renting app, and a health-tracking app. This created dedicated agents for each, optimized for their specific use cases. The cycle rental app it built, for example, also had a basic UI, but the underlying structure—the UX—was nailed perfectly. The user flow is intuitive and well-organized in a way that makes sense for the end user.

Step 2: Applying Visuals with the UI Implementer

After implementing the UX, the second step is to use the UI Implementer. Looking at the Mobile UI Implementer agent, you'll notice its description section. This agent takes the HTML file reference and requires a color scheme to apply to that structure.

Moving to the design field section, you can implement or edit this yourself. I've set it to "minimal," but you can choose "3D" or any specific design style. You can also add image links by providing the full path, and Claude will analyze that image. Below this are guidelines for creating an effective mobile UI.

A key part of this process is generating multiple UI variations. When I attempted to provide two color schemes, something interesting happened: it initially started only one agent. Through testing, I discovered that implementing this properly requires a specific prompt structure. Starting with "Can you fire up two UI agents?" works consistently.

The key insight is to explicitly state which agents to activate and how many. Without this specificity, the system defaults to a single agent.

So, I requested two UI Implementer agents with different color schemes. This time, the system properly executed the command, using two agents with distinct color schemes. The workflow first has the agents read and analyze the structure, then implements both themes simultaneously.

Here's what this produced: * Theme 1: The first theme was intentionally minimal with limited color, which aligns perfectly with a university portal app's professional requirements. Everything remained functional, though there was slight overlapping in some areas that could be refined later. * Theme 2: Interestingly, the second preview turned out notably better, likely due to how the color scheme interacted with the layout. While the structure differed slightly, the overall layout remained consistent. The color palette implementation worked exceptionally well here.

HTML designs may appear basic at first, but they transform beautifully when converted into your final app format. This demonstrates the power of using multiple agents effectively. The process is straightforward: reference them by name, specify the quantity, and provide different parameters like color schemes or styles (e.g., Minimalist, 3D, Notion-inspired).

After comparing both versions, one outcome was clearly superior, so I decided to proceed with that version for the next steps.

Step 3: Converting HTML to a Native iOS App

One final note before conversion: the use of emojis instead of proper icons is intentional. iOS handles icons differently, and direct conversion doesn't translate well from experience. Maintaining emojis at this stage is a practical choice, as they can be seamlessly updated once we're working in the iOS app environment.

I also asked the system to include HTML, CSS, and JavaScript separately. Dividing them is an excellent practice, as the generated HTML file can be a thousand or more lines long, making it hard to isolate and edit elements. This makes the structure much cleaner.

Next, I tasked it with creating a conversion guide. I provided an example of the HTML I would be giving it and explained that I needed it converted into an iOS app using SwiftUI.

A critical instruction was for it to use the Context 7 MCP, which provides excellent, RAG-like documentation fetching. It automatically retrieves the specific documentation needed with great speed and accuracy. As expected, we got the required SwiftUI context from it. After gathering the information, it filled everything out. I prompted it to improve the output a few times, and it did, finally producing our conversion file.

With everything in place, I went back and asked Claude Code to convert the second, preferred design into an iOS app. It used the HTML Converter agent and completed the conversion.

The Final Polish

Let's look at the final result in the simulator. The app is in its current state, and while the emojis still need adjustment, that's a simple fix. We can just tell Claude to use proper icons, and it will handle that immediately.

What's really nice is that the iOS implementation looks quite polished. The bottom bar is particularly clean because it's been properly integrated. The conversion process implemented all the correct icons, and the overlapping issue we saw in the HTML preview has been completely resolved. Everything looks very clean now.

Overall, the result is genuinely impressive for a basic implementation. The exciting part is that when you create quality UI variations and take the time to enhance the agent files with more detailed context about what you want, your app will look even better. The process I've demonstrated is straightforward and accessible. You can customize the agent files with as much detail as you want, and that level of detailed description is what will give your app its unique character.

Conclusion

This multi-agent approach represents a powerful paradigm for app development. By breaking down the complex process of UI/UX design into specialized, manageable tasks, developers can achieve highly polished and user-centric results with remarkable efficiency. The ability to rapidly iterate on designs and convert them to native code opens up a new frontier for creative and high-quality application development.