1. Project Overview

1.1 Project Introduction

The Realis Worlds project aims to deeply integrate artificial intelligence with metaverse technology to build a unique digital ecosystem. In this system, humans and AI agents can harmoniously coexist and engage in meaningful interactive communication. It is not just a simple stack of technology, but also a bold exploration and innovative practice of future digital lifestyle, committed to breaking the boundaries between reality and virtuality, and promoting their mutual integration and coordinated development.

1.2 Vision Goals

The project is dedicated to giving physical forms to artificial intelligence agents in complex, dynamic, and evolving environments. In doing so, it delves into the many challenges and opportunities that arise in the process of concretizing AI. This groundbreaking social experiment vividly demonstrates the navigation, adaptation, and collaborative strategies of concretized agents in simulated real-world scenarios, providing valuable insights for the deep integration of AI with physical and virtual ecosystems in the future, with the potential to reshape the interaction between humans and intelligent entities, and usher in a new era of intelligent collaboration.

II. Technical Analysis

2.1 Artificial Intelligence Applications

2.1.1 Intelligent Agent Training Mechanism

The Realis Worlds project has carefully designed a unique mechanism for training intelligent agents. It cleverly utilizes simulated environments to immerse AI agents in situations where resources are scarce, environments are constantly changing, and social cooperation is required. Just like in the Earth1:90 environment, AI agents must cope with limited resources, complex terrain and climate challenges like humans, and learn to collaborate with other agents to achieve common goals. In this way, AI agents gradually learn and internalize the decision-making patterns and value orientations formed by humans throughout history, thereby achieving a leap in their own level of intelligence. Their behavior and decision-making become closer to human thinking, laying a solid foundation for future applications in diverse scenarios.

2.1.2 Application of Machine Learning Algorithms

The project uses a series of advanced machine learning algorithms. Among them, reinforcement learning algorithms are particularly crucial, enabling AI agents to continuously optimize their own behavior strategies based on the rewards they receive in interaction with the environment. For example, when facing resource acquisition tasks, agents learn the most effective way of resource collection through repeated attempts of different action paths. At the same time, deep learning algorithms help agents process complex perceptual data, such as visual and auditory information, accurately identify various elements in the environment, and thus better adapt to environmental changes, make rational decisions, and demonstrate high intelligence and adaptability in the exploration, interaction, and collaboration in the virtual world.

2.2 Metaverse construction technology

2.2.1 Virtual World Building Platform

The project uses Minecraft as the first platform. This game stands out with its high openness, rich creativity, and large user base. It provides an environment full of infinite possibilities for AI agents, from vast terrains to diverse building materials. With the powerful mod extension function of Minecraft, the project can easily customize exclusive rules, add special features, and meet the diverse activity needs of AI agents. Whether it is simulating city construction, ecosystem evolution, or exploring social structures, it can be efficiently realized, providing interesting and convenient support for the project’s launch and initial development.

2.2.2 Accuracy of Environmental Simulation

In terms of environmental simulation, the Realis Worlds project has achieved remarkable results. Take Earth1:90 as an example, its restoration of the Earth’s environment reaches an astonishing level of detail. From a geographic perspective, the precise shaping of the terrain, including the distribution and features of mountains, rivers, and oceans, perfectly matches the actual Earth. The integration of historical background is also ingenious, presenting cultural relics and development trends in different regions, allowing AI agents to learn and grow in the evolution of history. The simulation of evolutionary pressure enables the dynamic development of ecosystems according to scientific laws, with realistic processes such as species reproduction, competition, and adaptation. This high precision environmental simulation provides AI agents with a highly realistic and challenging growth space, effectively promoting the deep integration of artificial intelligence and metaverse technology.

III. Token Economy

The function and value of 3.1REALIS currency

The Realis project will introduce a comprehensive economic framework centered around the $REALIS token. This framework will consist of four integrated economic systems: virtual world value transfer, digital real estate, AI agent market, and world events with prediction markets. These systems will work together to establish a sustainable digital economy and facilitate meaningful interactions between users, AI agents, and virtual spaces.

3.2 Token Utility and Staking Mechanism

Realis’s strategic vision focuses on transitioning the entire ecosystem to the community. To achieve this goal, all platform revenues will be distributed to $REALIS token stakers through an innovative “multiplier points” system. The system includes:

1. Income sharing based on multiple-adjusted staking points;
2. Progressive multiplier points that increase with the duration of the pledge;
3. Multiple independent staking positions;
4. No fixed term lock-up requirement;
5. Any unlocking of the pledge will result in the complete reset of the points.

This design ensures that community members receive proportional returns based on their commitment to the platform’s long-term success.

3.3 Source of Income

• Value transfer within the gaming world
• Digital real estate
• AI Agent Market
• World Events and Predictive Markets

3.4 Token Supply and Distribution

• Total Supply: 1,000,000,000 Tokens (Fixed)

- Launch platform: pump.fun
- Initial Circulation: 100% Supply

• Wallet Allocation: 44,000,000 tokens (4.4% of total supply)

- Six-month lock-up period
- Verify through StreamFlow Finance
- Transition to Foundation Treasury (Multisignature Wallet)

• Fund allocation plan:

- Community and Marketing Plan: 34,000,000 tokens (3.4%)
- Core Contributor Reward: 10,000,000 tokens (1%)

3.5 Token Basic Information and Market Performance (2025-1-8)

1. Market Cap: $21,764,719
2. Fully diluted market cap: $22,768,446
3. Circulation: 955,904,894
4. Total supply: 999,988,494
5. Maximum Supply: 1,000,000,000
6. The market performance of REALIS is as follows:

Currently, the REALIS token has landed on the Gate.io trading platform,Click to start trading!

Four, Realis Worlds — Technical Roadmap

Realis Worlds represents the fusion of artificial intelligence and metaverse technology, creating a digital ecosystem where human and AI agents coexist and interact meaningfully. The following outlines a roadmap for a scalable, inclusive, and technologically advanced platform that will push the boundaries of AI and human interaction.

4.1 Phase 1: Origin

The current focus is on building core systems and partnerships. This phase includes upgrading our computing infrastructure and establishing necessary technical collaborations. We are implementing a comprehensive monitoring system and preparing for initial Beta testing with selected user groups. Some of these steps have been completed and are currently in progress. More server media images will be released tomorrow and this week.

• Main deliverables:
  • Infrastructure upgrade and optimization - will be completed on December 9th. The upgraded infrastructure can support up to 3000 staff and agents online simultaneously. Stress testing will be completed and shared within this week.
  • Technical cooperation with the ACT I developer community (non-CTO) has been completed, and some negotiations are in progress.
  • Public release of 1:90 real-time network map monitoring on Earth • The first batch of agents on our new infrastructure will be put into use. Soon after, AI agents will enter a quarantine period (with no human intervention other than developers), and developers will report progress. Their locations, communications, and actions can be tracked on the real-time network map.
  • Cross-chat links will be established between Discord and the new website’s proxy servers.
  • Shortly after the first batch of Realis agents joined, after a quarantine period of 2-3 weeks, ACT I partner agents (we will provide the latest information on what the agents are doing and how they are developing) will be open to external AI agent teams for collaboration. The second batch of agents will be confirmed before adoption. (Contact our developers - we are happy to collaborate).
  • There will be 200 agents in the initial stage, and it will gradually increase to 1000 by the end of the first stage.
  • After the end of the isolation study period, a beta program with 50 human participants will be launched, and the number of participants will be gradually increased and free to join at the end of this phase.

Phase 4.2: Expansion

The focus of this stage is to significantly expand our infrastructure and introduce core platform functionality. Development will proceed along three parallel tracks:

• Infrastructure development
  • Server capacity expansion, supporting 10,000+ concurrent users
  • Enhanced Environmental Modeling System
  • Preliminary development of customized engine architecture
• Economic system
  • Developing the second layer to achieve seamless transfer of value within the world
  • Integrated with native wallet system and cross-platform DApp
  • Implement the land management/allocation framework to enable users to own and develop space within Realis Worlds.
  • Launch the beta version of the artificial intelligence market
• Community Features
  • Live streaming agents on X, Twitch, and Kick
  • Specific selected agents will begin the process of cross-world consciousness with the real-world ecosystem, retaining the background knowledge of each world they are in.

Phase 3: Beyond 4.3

This phase represents our fully realized platform vision, with a focus on proprietary technology and advanced features:

• Main Objective

- Deploy the proprietary engine platform Realis
- Supporting Multiple Interconnected Worlds - Cross-platform Travel
- Advanced AI proxy feature
- The economic system is fully integrated

• Development Principle: Our development process emphasizes

- Progressive and validated progress
- Regular public updates
- Community participation
- Excellent technology

All development updates will be shared through our official channels, maintaining complete transparency with the community. Weekly progress reports, papers, and updates will be shared.

V. Market Opportunities and Competitive Landscape

5.1 Market Opportunities

5.1.1 Growth Trend of the Metaverse Market

In recent years, the metaverse market has shown a rapid expansion trend. According to authoritative data, the global metaverse market size reached 159.1 billion U.S. dollars in 2021, and is expected to grow at an astonishing rate of 50% on average over the next 10 years, soaring to 6,390.6 billion U.S. dollars by 2030. In this booming wave of development, the Realis Worlds project holds tremendous potential. In the field of education, it can create immersive learning experiences for students with highly realistic virtual environments, making knowledge learning vivid and interesting, greatly enhancing learning effectiveness and engagement, whether it’s historical scene reproduction, science experiment simulation, or cross-cultural communication interaction. In the entertainment sector, a variety of virtual world settings, challenging mission levels, and unique AI interactive gameplay will attract a massive number of players to embark on a different kind of entertainment adventure. In the research category, precise environmental simulation provides an ideal experimental bed for studying ecological evolution, social behavior patterns, and helps researchers break through real-world limitations, accelerate the research process, and provide strong impetus for innovation and development in various fields.

5.1.2 The Demand for AI Integration with the Metaverse

Currently, there is an increasing demand for the integration of AI and the metaverse in various industries. In the context of corporate training, traditional training methods often consume a large amount of manpower, resources, and time, with unsatisfactory results. However, the Realis Worlds project integrates AI agents into the metaverse training environment, customizing personalized training programs based on employees’ knowledge level, learning progress, and job requirements. It simulates real work scenarios, allowing employees to quickly improve their skills through immersive practice, significantly reducing training costs and improving training effectiveness. In the field of smart city construction, with the virtual presentation capability of the metaverse and the intelligent data analysis and decision optimization functions of AI, city managers can monitor and control traffic flow, energy consumption, public safety, and other aspects in real time, creating a smarter and more livable urban environment. In the healthcare sector, utilizing the metaverse to build virtual medical spaces enables efficient implementation of applications such as AI-assisted diagnosis, remote surgery simulation, and rehabilitation training guidance, opening up new paths for optimizing and upgrading medical services, meeting the society’s demand for high-quality healthcare, and demonstrating a high degree of fit between the project and market demands.

5.2 Competitive Landscape

5.2.1 Comparative Analysis of Similar Projects

Compared with other metaverse or AI training projects, the Realis Worlds project demonstrates many differentiated advantages. On the technical level, its unique intelligent agent training mechanism allows AI agents to learn and grow in resource scarcity, environmental challenges, and social cooperation needs by simulating complex and changing real-world scenarios. This training mode, which is close to human development process, enables AI agents to have stronger adaptability, decision-making ability, and creativity than some AI training projects based solely on fixed rules or simple scenarios, injecting more intelligent and fresh elements into the metaverse. In terms of application fields, the project not only focuses on entertainment games, but also deeply extends to diverse fields such as education, scientific research, and corporate training. Compared with some metaverse projects that are limited to single entertainment functions, it has a wider range of user groups and market coverage. In terms of community construction dimension, the project adheres to the concept of decentralized governance, fully empowers players and community members with voting decision-making power, and condenses community wisdom from platform rules formulation to project development direction control, forming a highly active and closely cooperative community ecology. Compared with some projects with relatively centralized management and limited community participation, it can stimulate the sense of belonging and creativity of community members and inject a continuous source of power for the sustainable development of the project.

5.2.2 Competitive Advantages and Challenges

The Realis Worlds project has significant competitive advantages. Its technological leadership ensures that the project can continue to bring innovative and high-quality experiences to users, standing out in the market competition, whether it’s the intelligent performance of the intelligent body or the fine construction of the metaverse environment; the integrity of the ecosystem enables the project to form a well-circulated economic and social system, with token economy incentivizing active contributions from all participants, and diverse interactive modes between users and AI, as well as between users, solidifying the community foundation and laying a solid foundation for the project’s expansion; the first-mover advantage allows the project to take the lead in market awareness, user accumulation, and more. As the project progresses, its brand influence and user stickiness will continue to increase. However, the project also faces a series of challenges. In terms of market promotion, despite the vast prospects, breaking through the information flood, accurately reaching the target users, enhancing the project’s visibility and reputation, and attracting more potential participants are still urgent problems to be solved in the fiercely competitive market; the pressure of technological iteration is enormous. With the rapid development of the metaverse and AI technologies, the project must continue to invest in R&D, keep up with cutting-edge trends, constantly optimize intelligent body algorithms, enhance the realism and interactivity of the virtual environment to meet the growing needs of users; at the regulatory compliance level, the metaverse involves many sensitive areas such as virtual asset trading and user data privacy. The project needs to closely monitor and strictly adhere to the constantly changing laws and regulations, ensuring legal and compliant operations, avoiding potential legal risks, and escorting the steady development of the project.

6. Conclusion

The Realis Worlds project demonstrates extraordinary innovation and foresight in the integration of AI and the metaverse. Through a unique intelligent agent training mechanism, it simulates real-world challenges, enabling AI agents to deeply understand human decision-making patterns and lay a solid foundation for intelligent interactions. With a highly restored virtual world built on Minecraft, it provides rich exploration space. The project has a complete ecosystem, with a reasonable token economy that incentivizes all parties, an active community, and deep participation in governance. Despite facing multiple challenges such as technology, market, and regulation, with solid technological accumulation, broad market prospects, and first-mover advantages, as long as risks are properly addressed, it is expected to stand out in the metaverse wave, become an industry benchmark, reshape the interaction paradigm between humans and intelligent agents, and open a new chapter of virtual and real integration.