Prototypoint and AI – from idea to interactive prototype in an instant

One of the biggest challenges in the early stages of many software projects is a simple one: how would this idea work in practice – and what would it look like? Prototyping using artificial intelligence provides quick answers to these questions.

A prototype is the first tangible step in software development. It transforms an idea into a testable solution before a single line of code has been written. A prototype can be used to seek funding, gather feedback from end users or build a shared vision within the project team. It also helps to identify challenges at a stage when changes are still affordable to make and to convince stakeholders before a development decision is made.

Without concrete details, an idea can mean something different to everyone. With the help of artificial intelligence, it is possible to flesh out the idea right from the very first meetings. In this article, we’ll look at what a prototype is, how artificial intelligence has changed it, and in which situations a prototype is most useful.

The use of artificial intelligence has significantly transformed the early stages of the prototyping process

Traditionally, it has taken days or weeks to get a prototype up and running. A lot can happen in that time: stakeholders lose their enthusiasm, budget decisions are postponed, and the project gets underway based on guesswork.

Artificial intelligence has completely transformed this stage. Even a rough text description or a sketch on paper is enough to get started. Claude or Codex turns it into a functional outline – not in weeks, but in hours. Sometimes even in minutes.

However, speed is not an end in itself. A prototype is only useful if it serves a genuine purpose. That is why the most important question must be asked first: what is this prototype intended to achieve?

In what situations is prototyping most useful?

• Your idea is still vague, but you need to secure funding or internal approval. Verbal descriptions aren’t enough to convince anyone. A working prototype makes the idea tangible and credible before development begins and larger investments are made.
• You are developing a new digital product or service and want to test its functionality before making a major investment. A prototype reveals usability issues and false assumptions at a stage when changes are still affordable to make.
• The project team has differing views on what we are building. A prototype replaces these differing interpretations with a shared understanding more quickly than anything else.
• You work, for example, in the manufacturing sector, where processes are complex and development needs are constantly evolving. Before an IT project is launched, a prototype helps to clarify exactly what is needed and what is not.

Read also: User journeys and AI – how to build a user-centric and intelligent service experience

How does the AI-powered prototyping tool work in practice?

Our process proceeds in two stages, each with a different purpose.

Pre-launch prototype

A sales-stage prototype is a quick sketch that anyone can produce: a salesperson, a developer or the customer themselves. A text description or a sketch is sufficient as a starting point. A good starting point includes a description of what the tool or application does, what the user wants to achieve with it, what its core functions are, and why it is valuable to the business. Artificial intelligence then refines this into a functional outline that brings the idea to life. Visual polish is not essential at this stage.

For this purpose, Anthropic has developed the Claude Design tool, which is specifically designed for the rapid creation of visual prototypes. The user describes the desired functionality directly in the chat, and Claude Design generates an interactive prototype from it without the need for a separate development environment or writing code. The end result can be refined by continuing the conversation, commenting directly, or adjusting the layout using sliders. In practice, the sales-stage prototype is therefore created during the first customer meeting.

A prototype made by the designer

The prototype created by the designer is the next step as the project progresses. The designer refines the mock-up into a polished final product using Figma: user flows are tested, the user interface is refined, and clear specifications are produced for the developers. Usability, visual design and business objectives are confirmed before moving on to development. At this stage, artificial intelligence is still involved. Figma Make utilizes Claude, and if desired, the finished design can be exported back to Claude, which sometimes even generates a fully functional product.

Artificial intelligence is transforming the designer’s work, but it is not reducing the amount of work involved. Traditionally, the first drafts of user interfaces have taken days to produce. Now, designers can apply their expertise where it is most valuable: critically evaluating drafts, identifying usability issues at an early stage, and steering development in the right direction. For the client, this translates into faster progress and a clearer mutual understanding right from the start.

A well-executed prototype delivers tangible benefits even before the development phase:

• Development work begins with a shared understanding, when everyone has the same vision of the end result
• Usability issues are identified before it becomes more expensive to fix them
• Stakeholders will be won over when the idea can be seen as well as heard
• Development costs remain under control when the direction is clear from the outset

The video below shows another example of a working prototype created from a text-based description, which was also generated solely through prompting.

Read also: 6 winning use cases for AI – how to find where it really pays off

Artificial intelligence does not replace design – nor should it

At Hurja, AI is an integral part of the process, and our designers’ expertise ensures that speed leads in the right direction. You can bring your ideas to us in any form. We combine your vision, business objectives and technical requirements into a single clear direction, and with the help of AI, we can produce a working prototype right from the initial discussions, bringing your idea to life quickly and tangibly.

If you’d like to gain a deeper understanding of how to provide the right framework for AI to build productive prototypes, read more about context engineering and the role of user stories in design.

Read also: The use of artificial intelligence in visual design

Do you have an idea that’s just waiting to be put into practice?

At Hurja, we believe that the best results are achieved by combining the speed of artificial intelligence with the expertise of a designer. Artificial intelligence brings efficiency to the process, while the designer ensures that the end result is user-friendly, visually polished and aligned with business objectives. Together, they offer a smoother start and greater value right from the early stages of the development process.

A well-executed prototype is the first step towards a successful software project. It allows you to test the viability of an idea, gather feedback and win over stakeholders even before a single line of code has been written.

Is your idea difficult to explain without a concrete example? Do you find that, in meetings, everyone has a different understanding of what we’re building? Would you like to test whether your idea works before committing to a development project? Get in touch, we’re here to help.