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How to write a whitepaper for an NFT game?

Maciej Zieliński

10 Jul 2022
How to write a whitepaper for an NFT game?

If you've ever wanted to learn more about how to write a whitepaper for an NFT game, you're in the right place. In our article, we point out the process of creating a whitepaper for NFT games and the elements that play a key role in it. Read our guide and see what you need to keep in mind when creating your whitepaper for an NFT game. Here are some tips to make your NFT game whitepaper stand out from the competition. Here we go! 

Table of Contents

Whitepaper for NFT game - basic information 

When creating a whitepaper for your NFT game, keep in mind that you are targeting both professionals and people who are just starting investing and gaming. If you want to make the best possible whitepaper, then put yourself in the customer's shoes and consider what questions come to mind first for the person who is potentially interested in your NFT game. Many years of observation of successful projects indicate that a professionally written whitepaper for an NFT game should answer the following questions:

  1. Introducing the game - in this regard, you should indicate what your game is about, what kind of ecosystem it has, whether it has a storyline, and what it is about. For example - a whitepaper for the game Axie Infinity will indicate that it is about collecting, raising, and selling animals. In contrast, the title "The Sandbox" will be characterized as a game in which you buy, rent, lease, or sell land. To determine what you want your game to be about and describe its outline in the first section of the whitepaper. 
  1. How does the project work? - in this area, it is useful to know the technicalities on which your game is based. Focus on presenting whether the game works based on the ERC-20 standard or ERC-721. In addition, specify in which blockchain technology you are creating your title. The most popular solutions are Flow, Ethereum, and Tezos. We wrote more about it - > here. 
  1. On what basis and in what quantities can you obtain NFT? - For example, the aforementioned Sandbox indicates that you get NFT through rent, lease, and sale of land. Axie Infinity specifies that you gain through breeding and selling animals. What does your NFT game offer? Indicate it here. 
  1. A description of the project's financing - if your NFT game obtained capital through crowdfunding, ICO, STO, or IDO, indicate it here. 
  1. Information about the team behind the NFT project - is an element that adds credibility. Describe who created the project, and what role they played in it. Familiar names attract much more interest. 
  1. Capital storage - specify on which wallets you can store NFT in your platform. This factor is interestingly described in the whitepaper of the game "Decentraland".

These are just the basics that you need to include in your whitepaper for NFT. Below we point out additional elements that will increase its credibility and help it succeed. 

Tokenomics

As one of the main elements of NFT games, it should be described in an extremely precise way. In particular, the whitepaper should state what cryptocurrency the project supports and what type of tokens it uses. At the same time, it should be indicated whether the title was created first or, however, the token - this behavior shows the direction of the NFT game developer's thinking. If it was started with a token, in practice, the main goal is likely to be profit from the game. If, on the other hand, the game was created first and then the token, it means that the person respects his users, because he starts with an offer prepared for them - not under himself.  Another factor related to tokenomics is whether a title works with other games and cryptocurrency platforms. This can make financial assets much more liquid and practical than if they are limited to a single game. Keep in mind whether art assets, skins, tokens, etc. are readily available to third parties. If so - this will enable developers among the community to build their tools and experiences in a given title. As an example, consider the game Axie Infinity, which works this way. Economic openness makes it possible for players to monetize their concepts among other users, which also increases liquidity on a given platform.

If we talk about tokenomics, then we need to point out all the factors related to the monetization of the game in the context of Play to Earn:

  • How can the game be monetized?
  • In what time frame can this be achieved?
  • Are players entitled to rewards? If so, for what and in what amount?
  • How is payment for additional products made?
  • How can skins, NFTs, etc. be sold?

If there is (or was) an ICO, IEO, or IDO organized, indicate any elements related to this and resulting in the implementation of Soft Cup and hard Cup. This is an extremely important factor, as users need to know what we offer as part of the financing organization (if any). In addition, it will be necessary to specify the tokens and the method of their use. In particular, it should be determined whether they will be:

  • NFT tokens
  • Defi tokens
  • Governance Tokens
  • Security tokens
  • and what function they serve. 

Economic sustainability is another factor that should be included in the NFT. We need to indicate how the financing and trading of NFT data in the title will be kept alive. For example - in Ax Infinity it was indicated that battles between players will be updated regularly, there will be new objectives in the universe, and the value of the game is to be based on community and progression. An interesting idea is to indicate additional sources of funding that are not strictly related to the metaverse. In this case, you can refer to the implementation of additional sources of capital to the project by:

  • starting advertising,
  • finding sponsors,
  • selling physical goods related to the title,
  • organizing offline live events and building a community. 

Tokenomics must identify the flow of capital, its origin, present the value behind the title, and how it will continue to expand. If these factors are properly presented, we have half the success. 

NFT Whitepaper, and Infographics

There are many reasons to use infographics in an NFT whitepaper. Remember, NFTs are growing in popularity and offer endless business opportunities that not everyone understands after reading dry written text. To help explain why NFTs are important, you can use the following three types of infographics: 

  • Ecosystem, 
  • Sales, 
  • Risk

Infographics can help readers understand the complexity of NFTs and how they work. They also help inform how to sell them and make the best use of their financial resources. The most striking ones are those that visually present a lot of data. This makes them easier to understand. Below is a sample infographic from the Zeedz.io game whitepaper.

whitepaper

It identifies information on the NFT supply of the game. You can find more information in this regard - > here. Another infographic describing the NFT breakdown of the game deals with the detailed settlement and is as follows: 

whitepaper

Infographics are more readable for people who are visual and do not analyze text. It is worth having them in your NFT game whitepaper. In addition, they can be easily shared, so your content reaches a large audience. It's a good idea to hire a designer with design skills to ensure your content looks professional and gets the right results. A good graphic designer should have a portfolio of his work, as well as a quality workshop. Also, pictograms have long been a popular and useful way to describe digital assets. You can use them to store everything from digital art to tweets. The idea behind NFT is to allow users to create and store such collections. The benefits of this technology and the solutions indicated above are obvious. 

Basic structural elements of a whitepaper for the NFT game 

To be successful, an NFT whitepaper must include the following features: 

  • Cover: A well-designed whitepaper should be easy to read. An interesting wrapper is meant to inspire confidence in potential contributors and showcase the team. Make sure your photos are high quality and have a consistent style throughout the document. You can use company photos to introduce the team.
  • To help subscribers find and buy NFT, the whitepaper should be made available through a secure platform. It should also include videos that can encourage subscribers to watch and learn more about the project. For example - Anxie Infinity has a video, which can be found here -> link.
  • While NFTs have many advantages, the biggest challenge facing this technology is fluidity. While the NFT whitepaper highlights the benefits of smart contracts, it should be noted that this market is still in its infancy, but is large enough to provide a good experience for developers and consumers. In addition, NFTs are more secure than digital disks, making them a better choice for cryptocurrencies and other non-physical assets.
  • Formatting: NFT documentation should be properly formatted. The reader must be able to easily understand the technical details. To this end, it is a good idea to add graphics and photos to make the document more attractive. Make sure that the visual and textual elements complement each other and do not distract from the message. As for charts, photos and dashboards, try to make them as easy to read as possible. 
  • Roadmap - with it you will present a vision for the development of your title. It will help to show, in a simplified way, where the project is going and answer basic questions about the timing of its implementation. The roadmap helps you identify the strategy of the game and coordinate the progress of its implementation. 
  • Team - presenting an official team of people shows that there are professionals behind a project who are not afraid to sign off on it. This is important because it builds trust among the community for a given NFT game. The more well-known names in the crypto industry and respected - the better type. 

Top 5 whitepapers for NFT games 

Currently, the most popular titles that make gaming NFT have great whitepapers. Check out the list below to see what a well-constructed whitepaper should look like in practice

Anxie Inifity

Anxie Inifity - > check out the whitepaper. This Whitepaper has in practice everything that a professionally drafted document must have. In it we can find: 

-thoroughly described gameplay, 

-methods of earning money from playing, 

-indication of the time we need to obtain capital, 

-in addition, the whole tokenomics of the game in the present and future time is brilliantly shown,

-The flow of capital is described, as well as the methods of securing it and the direction of business development. 

Zeedz.io

Zeedz.io -> check out the whitepaper. First of all, this document is made extremely aesthetically pleasing. In addition, it coolly compares the NFT project to the traditional version of computer games. Another interesting concept is the indication that 1% of the commissions from transactions are donated to the expansion of the system and the game, which shows that the developers constantly want to develop it!

The Sandbox

The Sandbox -> check out the whitepaper. This is a heavily expanded whitepaper that has all the necessary elements in it. It includes a description of the gameplay, extremely detailed tokenomics, widely explained use of other technologies, and security of capital storage. In addition, several infographics are presented here, which simply describe the project. 

Decentraland

Decetraland -> check out the whitepaper. This whitepaper differs from the others in its simplicity of information. It conveys, in brief, the form of gameplay, settlement and tokenomics, and technology. It can be said that Decentraland is a summary of any well-written whitepaper of other, larger titles. 

Blankos Block

Blankos Block - > check out the whitepaper. This is a title that stands out from other games in terms of technology and documentation. Instead of a classic whitepaper, it has a separate blog that answers all the questions that a whitepaper should answer. You could say that it is a whitepaper in the form of a blog entry. The entry itself describes the technology of the game and even the hardware requirements to run it. There is also a description of tokenomics and answers to the most popular questions from players. It's a different look at the NFT Game market, as it departs from a fully formalized whitepaper, but presents the most important information about the project. 

Summary 

Analyzing the above information, it can be concluded that the whitepaper is one of several key elements that are responsible for the success of the NFT project. For this reason, it is worth knowing its structure and understanding how to use the documentation in question. A properly drafted whitepaper has the tokenomics of the game well dissected. Users need to be fully aware of how to earn money playing a given title, how to sell the NFTs they acquire, and whether they can be used on different platforms. We point out at this point that our company has a team of specialists who have years of experience in creating whitepapers and will be happy to help you create a professional document. 

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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?
Table of Contents

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

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AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!

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