Creating NFT – the best tools for issuing tokens of the future

Maciej Zieliński

28 Apr 2021
Creating NFT – the best tools for issuing tokens of the future

The entire world is talking about them- NFT tokens break popularity records not only in blockchain-related environments. More and more people and companies are becoming interested in issuing them. So how does creating NFT look like in practice? 

NFT tokens take advantage of the Blockchain technology for connecting with a unique digital resource that cannot be replicated. Non-fungibility, in the case of NFT tokens means that each token in a given system is unique. NFT tokens do not have a standard value and often do not allow equivalent exchanges of one for another. Each token represents different, unique information concerning ownership or identity.  

NFT can be used to represent virtually any digital or physical object, including:

  • Music
  • Collectible items
  • Graphics
  • Videos 
  • Items in video games (e.g. weapons or avatars)
  • Virtual Land 
  • Real-world assets e.g. real estate, sports shoes

Creating NFT 

Creating simple NFTs, such as graphics, collectible cards, or GIFs, is a relatively simple process, even for people who do not have extensive knowledge in the field of blockchain technology.  


Which blockchain to create NFT?

The basic question you should answer before starting work is which Blockchain protocol to choose to issue your NFT tokens. Various blockchain protocols have their own different NFT standards as well as compatible markets and portfolios. For example, tokens created with Binance Smart Chain can be sold only on platforms that support Binance Smart Chain assets. This means that we cannot sell them on, for example, OpenSea which is based on Ethereum.

Currently, Ethereum blockchain is most often used to create NFT. However, there are alternatives that are becoming increasingly popular.

  • Binance Smart Chain 
  • Flow by Dapper Labs 
  • Tron
  • EOS
  • Polkadot
  • Tezos
  • Cosmos
  • WAX
Creating NFT

What platform for selling NFT

There are many online platforms on the market where we can sell our NFT. It is worth taking a closer look at the characteristics of some of them. 

OpenSea

The platform refers to itself as the largest NFT exchange in the world. OpenSea allows selling NFT created in ERC721 and ERC1155 standards (both on Ethereum). Currently, 700 different projects offer tokens on the platform, including Axie, CryptoKitties, and Decentraland. 

The platform's great advantage consists in the ease of creating your own NFT with the included tools. 

Rarible

Rarible is a community-owned stock exchange that focuses on artistic NFT. Creators can take advantage of the platform for creating new tokens representing their works such as books, graphics, music albums, and videos.

The platform assigns ERC-20 RARI tokens to its users, thus making them the "co-owners". 75,000 RARIs are distributed per week.

SuperRare

SuperRare focuses on trading unique digital arts. The creators describe their platform as a meeting point of Instagram and Christie's, offering a completely new approach to interacting with culture and art on the internet.

Currently, SuperRare works only with a relatively small group of exclusively selected artists. However, it is already possible to fill out a form and apply to join once the platform is fully launched. 

Foundation

The Foundation brings together creators, crypto investors, and collectors on a single platform focused on digital art. 

Every time there is an NFT trade carried out on it, the artist earns 10% on the transaction. This means that the creator receives 10% of the sale value when a collector resells that person's work at a higher price. 

Myth Market

Myth Market is a group of trading platforms that support different brands of digital trading cards. 

Other platforms for creating and trading NFT include for example:

  • Mintable
  • BakarySwap
  • AtomicMarket
  • KnownOrigin
  • Enjin Marketplace
  • Async Art
  • Portion

Creating NFT on Ethereum 

Since Ethereum constitutes the largest NFT ecosystem, this article describes the creation of NFT precisely with it. In terms of other protocols, this process looks relatively similar, but if you have any questions you can always contact our team of specialists. 

To issue your own NFT on Ethereum, you will need:

  1. ETH worth about 50-100 dollars.
  2. A cryptocurrency wallet supporting ERC-721 tokens (NFT is created in it), for example MetaMask 

There are many platforms that allow creating NFT on Ethereum. Below we focus on the largest of them - OpenSea. 

Creating NFT

Creating NFT step-by-step

  1. After clicking on the "Create" button, the platform will ask you to connect your crypto wallet. After entering the password, it will be automatically connected with OpenSea. 
  2. Move the cursor over the "Create" button in the upper right corner and select the "My collections" button, and then click on the blue "Create" button.
  3. In the window that should then appear, submit your graphic, enter a name and description. That is how you will create a folder for your NFT. 
  4. By click on the pencil icon in the upper right corner, enter a background image for your collection page.
  5. Now all it takes is to click on "Add New Item" and upload a graphic, audio, video, or 3D model.
  6. Now, just press the "Create" button and... thus, create the first NFT.

How much does it cost to create NFT?

Creating NFT on OpenSea is free. However, some platforms charge a fee, called "Gas" (Ethereum-based platforms). "Gas" is simply the amount of Ether needed to perform a specific operation in a blockchain. This cost varies and depends on the overload of the entire network. The more people perform transactions at a given time, the higher the fee. 

How to create NFT? - Conclusion

Thanks to the numerous available tools, creating NFT has become extremely simple, not requiring specialist knowledge. It is safe to say that basically anyone can issue simple NFT tokens. 

It is worth noting that NFT is still a very young and dynamically developing area, so it can be expected that the most interesting solutions are yet to be developed. For this reason, among other things, we have ranked NFT tokens as one of the hottest tokenization trends for 2021. 

Would you like to take advantage of NFT in your project? Contact our specialists who can offer a free consultation.

Tagi

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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?

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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