Usability and utility is the hottest trend in NFT

Maciej Zieliński

23 Aug 2022
Usability and utility is the hottest trend in NFT

NFT is gaining popularity not only in the new technology sector but also in the real business world. Currently, NFT can be divided into two groups: 

  • Collectible items - these are tokens intended to be collected and owned - such as artwork, celebrity merchandise, entertainment content, Twitter names/domains, and memorabilia
  • Consumables are things or rights that can be realistically used, e.g., the right to download limited edition music, the right to share products and content, etc. 

What this means in practice is that an NFT with a utility function realizes its value based on services provided, consumption, and cooperation between companies. How does NFT create value? When do products become helpful, and how can they be used - we write about this below!

How does NFT create value?

We should remember that quantitative and qualitative factors influence NFT value. In practice: 

  • utility, 
  • rarity,
  • liquidity is the main factor of value creation. 

The market is shaping to treat utility as the primary value, which determines the approximate range of benefits obtained from owning NFTs. In addition to utility, rarity also increases their value. Typically, NFTs are issued in limited quantities - sometimes unique - gaining additional cache among collectors, so even a small increase in demand can lead to a rise in their price. It's important to remember that NFT transactions rely on liquidity, just like existing cryptocurrencies. This is important because liquidity makes people willing to take the risk of holding NFTs at high prices, thus increasing their value.

Emotion, and value and utility in NFTs 

The primary factor affecting the value of NFTs in terms of utility is the emotional charge that accompanies a product or service. Emotions show people's broad interests and tastes. It should be noted that an emotional approach in NFT arises when it is backed by, for example, social status, finances, property rights, great experiences, etc. When the above factors combine, the emotional appeal of an item leads to increased demand.

Utility of NFT for business

The usefulness of NFTs lies in their use of blockchain technology. With it, all rights and ownership of NFTs are extraordinarily secure and guaranteed. Smart contracts, blockchain, and NFT are gaining popularity in everyday life. It's easy to imagine a world where all contracts, movables, and real estate are reflected in NFT—selling a house using NFT? Nothing more straightforward - once the amount is booked, the smart contract will automatically transfer the rights to the new buyer, skipping all the red tape and selling a car. NFT will transfer, register and transfer ownership of the vehicle to the buyer once the funds are booked. It's a completely secure, fast, and transparent solution. No one will break blockchain technology, forge the title deed, sales contract, etc. Instead of looking for documents to prove ownership, this NFT will give you an actual record of the entire ownership history of the item.

The utility of NFT, and documents 

Nowadays, most people know that paper transactions are inefficient, require more staff, and are easy to lose (fire, flood, lost documents). Nevertheless, the paper has an advantage over documents in the cloud - confirming the authenticity of classic documentation is easier. In addition, documents stored online can be hacked, copied, or altered, which happens very often and generates high costs for companies. NFT transactions can solve both of these problems. They provide another form of security to digital commerce while making the entire process more efficient. Everyone involved in the transaction can follow the path from the creation of the NFT to the final version in real-time and know who else is involved. Identity theft can be a thing of the past. The assets represented by the NFT are tracked and verified for existence, increasing the confidence of all parties that transactions are carefully planned.

Advantages of utility in NFTs 

NFTs themselves carry some advantages. The following are benefits that can be directly linked to utility:

utility
  • They can significantly reduce transaction processing costs for buyers and sellers of goods or services.
  • NFTs are easy to create, and a person can enter a few NFTs per hour - something they can't do with physical documents or even a large number of digital documents.
  • Enhanced security - no possibility of forged documents thanks to blockchain technology. 
  • No bureaucracy - the process is automatic using smart contracts. 
  • Interoperability - NFT helps keep all rights, settlements, and ownership between the consumer and the company in one place. 

Utility in NFT improves the brand-consumer relationship

Whether the NFT in question is musical, artistic, or collectible, it can be used to improve the relationship between artists and fans. Artists, in many cases, give preference to their art to fans who are in their clubs. NFT makes it easier to identify fans and even presents a history of their brand loyalty. Usability in NFT also allows communication between seller and buyer, which can be used to promote or pay for the artwork. 

Problems with utility in NFT 

We wrote earlier about the emotional charge associated with NFT. Like any solution, usability in NFT can carry some drawbacks. The first of these is undoubtedly the availability of the product. This is because blockchain technology and NFT (although constantly developing) are still known in a closed environment. The process, from creating a decentralized wallet to purchasing the final NFT, is complex. Having to double or triple fees along the way can be very inconvenient, especially for the general public. Additionally, many countries have legislative problems regarding NFTs. There are different criteria for interpreting NFTs as virtual assets, and many countries are having trouble regulating them. Although it appears to be a complicated sector, it can significantly facilitate many areas of the economy in practice.  

Examples of utility in NFT 

Some companies are implementing NFT usability into their businesses, moving with the times. Below are examples of sectors that are already using it: 

  • Art - Art Blocks is a leader in next-generation art. The listed platform supports the projects of the most innovative digital artists, combining creative coding with blockchain technology to establish a new paradigm of artistic creation and ownership. Through NFT's utility, collectors can participate in the realization of an artist's vision, resulting in unique algorithmic artworks. This symbiotic relationship and shared experience are the foundation of a vibrant community. 
  • Socks - is a sales project affiliated with Uniswap, where the purchase and sale of socks are made real by NFT. SOCKS are ERC-20 tokens and can be used like any other ERC-20 token on Ethereum. Uniswap created an initial liquidity pool of 500 SOCKS and 35 ETH to facilitate user trading. It's an exciting and humorous concept combining NFT with a real product. 
  • Jewelry - Tiffany & Co, a luxury jewelry company, intends to sell NFTs that give CryptoPunk holders the right to turn their NFTs into custom pendants containing gems and diamonds. It's a concept that works in reverse to SOCKS because here, you are really buying a charm that you can then wear in the CryptoPunk metaverse. 
  • GMI hoodie - Each hoodie contains an IYK chip that can be scanned upon receipt to obtain a combined NFT token and $1 GMI token. You don't need to download the application to make a claim. If you sell your hoodie, the new owner can pull the NFT from your wallet into theirs. This exciting project combines broad movable property rights - both classic and digital - in one place. 

Summary 

The utility of NFT is one of the most important features of this kind of technology. It allows the transfer of property rights, improves the relationship between consumers and creators, and minimizes bureaucracy. Some companies are already taking advantage of NFT's usability - others are just analyzing the possibility of implementing this system into their corporation. It is undoubtedly one of the most exciting topics in 2022, so it is worth learning about its advantages and disadvantages!

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

Follow us to stay updated!

AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series