From something as simple as spelling suggestions, which are present on any text platform, to the recently introduced GPT-3, which is taking the digital world by storm, AI technology is becoming prominent across various technological platforms and tools in the world today. ChatGPT-3, or Generative Pre-trained Transformer 3, has had a significant impact on web design and development.

Advances in AI technology have enabled machines to be increasingly more intelligent over time, utilizing training and knowledge to make logic-based decisions autonomously without any human intervention. With the advent of neural networks and deep learning, it was not long before we saw the birth of language models that can automatically understand and generate text. This brings us to a discussion about meta-learning and narrow AI. Examples of narrow AI are very common including prominent applications like Alexa, Cortana, and Siri.

Meta-learning, on the other hand, enables a task-agnostic model. This means that the application can perform multiple different NLP (natural language processing) tasks over different platforms with minimal fine-tuning required. The most prominent example of this is the GPT-3 developed by OpenAI, a San Francisco-based research laboratory.

What is GPT-3?

Functioning as an autoregressive language model for NLP systems, GPT-3 is a third-generation generative pre-trained transformer that has the ability to generate text based on minimal input.

In other words, given a prompt, the GPT-3 can generate text that is relevant to the context of the given prompt. The impressive thing about this technology is that it doesn’t need any task-specific training data – all it needs is general-purpose training data like news articles or books.

GPT-3 has been made available to the public through an API (Application Programming Interface) and has been used to create all sorts of applications, from bots to website builders. The possibilities with GPT-3 are endless and we can only imagine what will be built with it in the future.

GPT-3 In Web Design?

So far, we have established how good GPT-3 is at analyzing and compiling data, interpreting it, and applying it to the field where we use it. Whether it be in creating websites and chatbots or generating customer and client responses, we have established that GPT-3 is exceptional at generating content. Now, this content can be either in the form of written material or other forms, depending on where you apply it.

Essentially, GPT-3 removes the excessive manual work and processes involved and allows professionals to focus on the problem or the goal and focus on creative ways to tackle them. This means that designers and developers can focus on the design and user experience of the website and leave the coding to GPT-3.

Recently, Jordan Singer, an exceptional designer, was able to stun designers everywhere by creating a functional prototype for a website purely by providing raw text data. The raw text data describes the desired functions and visual imagery and characteristics. Lo and behold, his plugin created the entire design without writing a single line of code. The possibilities for UX design based on Jordan’s plugin are unimaginable.

Although this is not truly novel as we have seen examples of this before—in the case of Generative design—the level of complexity and flexibility are novel in this case. The grunt work and time consumption involved in creating quality content and designs are slowly diminishing.

The Shift Away From Traditional Designing:

The advent of this technology does bring with it its share of fears and doubts. The loss of jobs is the primary concern. However, with the right application, this technology can help us create new opportunities and not just destroy old ones.

Focusing on the end goal or the desired result without worrying about the process or time involved opens up the creative freedom of designers and content creators. Additionally, more efforts can be directed toward creative endeavors by drawing the focus away from individual capabilities. This generates the greatest possible experiences. GPT-3, thus, allows for more creative and imaginative thinking, absent the grunt work.

Although this signifies a major shift in the dynamics of how these industries work, especially in regard to the way they approach projects in terms of deliverables and timelines, it does mean that we can welcome automation as part of normal functioning. For example, when Google Material Design was introduced in 2014, it allowed users to reuse UI components with pre-written code snippets instead of creating them from scratch.

The Advantages Offered By GPT-3:

  • It saves considerable time and effort in the design process: Time is an critical parameter. If we can shorten deadlines without compromising quality but, in fact, in enhance it, then that is an enormous step forward. GPT-3 offers you the opportunity to accomplish exactly that. By automating the design process, it allows designers to focus completely on the bigger picture and the end goal. It also gives them more creative freedom and the ability to take creative risks and be experimental.
  • A similar approach can be taken with GPT-3 where we focus on the overall user experience and leave the minute details to be generated by GPT-3. This would free up bandwidth to focus on other important aspects of the project.
  • With GPT-3’s fast response and computation, with the right customizations, we can drastically enhance the level of complexity involved in our designs, thus increasing user experience. Together with enhanced content creations, we are creating the basis for an overall enhanced performance.
  • The technology is also scalable and open-ended. The data set for GPT-3 is constantly growing, making it more accurate and precise. It can be applied to any size project.
  • Websites are not the only thing that can be designed with GPT-3. With the right application, anything that can be designed on a computer can be automated with GPT-3. This includes but is not limited to 3D modeling, illustrations, and animations.

The possibilities are endless and the potential for this technology is tremendous. It will be interesting to see how this technology is taken forward in the future.


A common example of how GPT-3 impacts design is found in the area of web design.

In general, designing a website includes three main areas: content, visual design, and coding. In the past, a designer would have to focus on all three areas equally in order to create a well-rounded website. However, GPT-3, streamlines the process, so that the designer can focus on the content and visual design while leaving the coding to GPT-3.

This not only saves time but also allows for a more creative and imaginative website design. In addition, it eliminates the need for designers to learn coding in order to create a website.

Here are a few examples to prove this point:

Sharif Shameem at created a moderately intense hype on the internet with his layout generator using GPT-3. Using this, he created a demo for creating a functioning reacting app. Essentially what debuild does is allow you to build web applications with simple instructions in the English language. This tool allows anyone to turn into a web developer. This removes the need to be skilled at coding. It allows existing developers the chance to be more experimental with their designs.

The website builder also generates and shows the code used to create the resulting design. You can then use this code in any coding platform to replicate the design. Debuild can be instrumental in allowing designers to be braver with their design and marketing ideas.

Jordan Singer’s “Designer”: A Figma Plugin

Jordan Singer, a designer at CashApp has used Figma for a variety of designs using various plugins. He even has a YouTube instructional video detailing how to use plugins on Figma. His latest plugin, called “Designer,” uses GPT-3 technology. This allows you to input natural language to create a design. For example, you could say “I want a signup form with two input fields and a submit button” and it would generate the appropriate code for you.

This is a great plugin for those starting out in web design who do not know how to code or veterans who cannot assign time, especially to code. It also removes the need for repetitive and mundane tasks such as coding a simple signup form.

Jordan’s plugin uses OpenAI’s playground, which trains inputs and outputs. He inputs a JSON dictionary for an app layout, basically the prompt with the instruction for the design that he wants. The playground then gives him back JSON code that then sends this JSON code to the Figma plugin to interpret and understand what he wants out of this design.

Cloning Websites Using “Designer”

Jordan Singer’s Figma Plugin “Designer” allows you to quickly and easily clone an entire website with a few simple clicks. This is incredible if you want a design and layout similar to an existing site but for a different purpose.

For example, you can use the software to design a website like Pixel Street but for a product-based website. You can make changes as you see fit when you review it later.

Flipbook Animator

Another cool applications that Figma users have created using GPT-3 is the “Flipbook Animator” that can help animate the design frame by frame. It can even recognize verbal instructions and comprehend textual promotes.


There are numerous cases to make that GPT-3 is overhyped, which in all honesty has a foundational basis.

  • First, though GPT-3 has the potential to automate the entire design process of websites and web applications, it is not yet at a point where it can replace human designers entirely. There are still many aspects of design that require human creativity and imagination.
  • Second, GPT-3 is still in its early stages of development and there are bound to be many bugs and errors. For example, the Debuild app has issues with the code generated by GPT-3 not working properly. This is frustrating for designers who are trying to use this tool to save time.
  • Third, GPT-3 is a tool that is meant to be used by developers and designers who are already familiar with coding. For those who are not, it can be difficult to understand and use.
  • Fourth, GPT-3 is a tool that is still under development and as such, is constantly changing. This can be difficult for designers to keep up with and can make it difficult to use GPT-3 to its full potential.

What Does The Future Hold?

GPT-3 has many potential benefits, including its applicability. This is explained before. However, even though these applications have their limitations, there is no doubt that there is an exciting future here.

Applications enable usage across various small- to medium-sized marketing and advertising firms. This is possible, provided we can reduce the number and frequency of bugs. This also creates exciting opportunities for freelancers and start-up companies to do their own designs and marketing.

Coupled with the ever-growing accessibility of machine learning, it is not improbable that GPT-3 will eventually replace human designers entirely. The question then becomes one of ethics.

Are we comfortable with a future in which machines are responsible for the design of our websites and web applications? Are we comfortable with the idea that our designs may be created by an algorithm rather than a human?

While that may be a possible future, these are questions that we will need to answer in the future. This is highly possible as GPT-3 and other machine learning applications become more refined and widespread.

The possibilities are endless and the potential is great. We can only imagine what the future holds for us with the help of GPT-3. What is certain is that the landscape of web design is changing and evolving rapidly. The need for designers who can think outside the box and be creative will only become more important.


In conclusion, we shouldn’t be fearing the change or worrying about how to adapt. Instead, we should embrace the change and figure out how to ride the new tide.

Creative freedom is now more of a requirement than a privilege. This is the direction for the future—one in which we can utilize GPT-3-based applications to create more innovative, appealing, and effective designs. At Pixel Street, we are gradually embracing this change. Allow us to usher you into this beautiful future!!

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Khurshid Alam

Khurshid Alam is the founder of Pixel Street, a web design company. He aspires to solve business problems by communicating effectively digitally. In his leisure, he reads, writes, and occasionally plays a game of table tennis.

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