Introduction: The Metaverse’s Core Challenge

The term “metaverse” once shone like a morning star, promising a new digital era where virtual and real life converge. However, a gap remains between this vision and reality, marked by low user engagement, fragmented economies, a lack of trust mechanisms, and stagnant productivity. To truly unlock its potential, we at DBiM believe we need a powerful “intelligent core” that can autonomously understand, decide, and collaborate to drive genuine value creation.

Our answer is the AI Agent. We define this new economic model as the “Autonomous Agent-Driven Metaverse Economy (AADME),” where highly autonomous AI Agents are the primary participants, driving economic activities, value creation, and resource allocation within the metaverse.

DBiM’s Breakthrough: A Pragmatic and Practical Approach

The current digital landscape is fragmented and full of friction. Consumers are overwhelmed by “information overload” and “subscription fatigue,” forced to navigate dozens of websites for fragmented planning and booking. DBiM addresses this pain point with a unique and pragmatic strategy. Instead of building a massive, but potentially hollow, “immersion-first” virtual world or a “walled garden” of a closed economic platform, DBiM’s strategy is practical and utility-first. We’re starting with a powerful AI Agent as a user’s “life companion” and are on a path to a new generation of the internet—an open, interconnected, and economically vibrant spatial internet.

Our differentiating approach lies in two key areas:

• Utility-First, Not Immersion-First: Our technology enhances, rather than replaces, a user’s existing digital life. Our AI Agents act as “navigators” on the open internet, not service bundlers confined to a closed platform.
• Open Economy, Not Closed Currency: Unlike proprietary virtual currencies in platforms like Roblox or Fortnite, DBiM will introduce a proprietary stablecoin as a universal medium of exchange. This will bridge the gap between volatile cryptocurrencies and restrictive virtual currencies, providing a frictionless, interoperable, and globally accessible medium for microtransactions and asset exchange within the metaverse. We are committed to being a responsible innovator, building a compliant financial infrastructure by referencing key regulatory frameworks like the EU’s Markets in Crypto-Assets Regulation (MICA).

The AI Agent: The Metaverse’s Intelligent Core and Digital Workforce

At DBiM, an AI Agent is more than a simple task-executing bot. It is an intelligent entity with the ability to learn, perceive, decide, interact, and even understand a degree of emotion. These agents can represent users (B2C or B2B) to perform tasks, discover opportunities, conduct transactions, and provide services in the metaverse, collaborating with other AI Agents autonomously.

Technologically, our AI Agent is a “Large Action Model (LAM)” or “Agentic AI”. Unlike Large Language Models (LLMs), which primarily process and generate text, LAMs are designed to perform actions and complete complex, multi-step tasks in a digital environment. This is our core technical innovation in the first phase.

Our agents are built on a Vision-Language-Action (VLA) architecture:

• Vision (Perception): The model uses advanced computer vision to parse any application’s user interface, identifying elements like buttons and text boxes without needing access to underlying code or APIs. This gives the AI Agent the ability to “understand” the digital world.
• Language (Reasoning): The model’s LLM core understands user intent and breaks down requests into specific steps. It can also reason about information on the screen, giving the AI Agent the ability to “think”.
• Action (Execution): The model programmatically executes these steps by simulating clicks and keyboard inputs, automating user workflows. This allows the AI Agent to “do” the task.

Beyond this, our AI Agents can learn user preferences, history, and personal traits, allowing them to proactively anticipate needs and offer personalized services. They are the tireless “digital artisans” and “intelligent producers” of the metaverse, automating repetitive tasks like customer inquiries, order processing, and content moderation, thereby significantly reducing labor costs and improving operational efficiency.

The DBiM Metaverse AIOS: The Central Intelligence and Foundation for Collaboration

To manage our vast network of AI Agents, DBiM is building a Platform-as-a-Service (PaaS) called the “DBiM Metaverse AI OS”. This OS is the central hub and technical foundation of our entire ecosystem.

Key features of the OS include:

• Standardized APIs and SDKs: Providing APIs and SDKs to lower the development barrier for AI Agent applications and metaverse scenarios.
• Modular AI Capabilities: Integrating various core AI Agent capabilities (e.g., natural language processing, computer vision) as “skill packs” for business units to use on demand.
• Data Management and Analytics: Offering unified services for data access, storage, processing, and analysis to support AI model training and business intelligence.
• Metaverse Infrastructure Services: Including decentralized identity authentication, virtual asset management, scene rendering, and cross-platform communication protocols.

The OS ensures a common language and data format for different agents, enabling them to communicate smoothly. It also includes a capability registration and discovery mechanism, allowing agents to find and call upon the skills of other agents, enabling “intelligent interconnectedness”. This collaboration results in a whole that is greater than the sum of its parts:

• Cross-Module Service Integration: A user’s gaming AI Agent, finding a high-value item but lacking funds, can autonomously call the personal finance AI Agent to apply for a small “virtual asset loan”.
• Data-Driven Hyper-Personalization: With user-authorized and privacy-protected data from gaming, shopping, and social interactions, the AI OS can create a much more accurate and dynamic user profile, offering truly “one-in-a-million” personalized services.

The Autonomous Economy: AI Agents Reshaping Business

DBiM’s business model revolves around the core capabilities of AI Agents, aiming to build a self-reinforcing aggregator platform. We create value by organizing and simplifying access to a vast and fragmented digital service ecosystem.

AI Agents play a central role in this value creation chain:

• “Smart Production and Trading” of Virtual Goods and Services: AI Agents are used for smart product selection, automated marketing, 24/7 customer service, efficient order processing, and advanced risk control.
• “Smart Construction and Operation” of Metaverse Scenes: AI Agents act as virtual customer service representatives in virtual exhibition halls and optimize e-commerce livestreaming supply chains.
• “Smart Empowerment” of Enterprise Services: AI Agents are integrated into B2B digital trade and live e-commerce supply chain services, automating tasks like market analysis, cross-border trade processes, and content creation.
• The “Digital Artery” of Financial Services: Our financial services company acts as the “central bank” of the AADME, providing payments, settlements, and AI-assisted financial tools. AI Agents serve as “risk guardians” and “intelligent analysts,” detecting fraud and identifying market manipulation.
• “Intelligent Connection” for Emotional Value and Social Interaction: AI Agent-enabled digital avatars provide emotional support and personalized companionship for fans, creating new social and fan economy experiences.

All these activities will be enabled by our forthcoming stablecoin, ensuring frictionless economic interoperability and creating a more transparent and fair system for all participants.

The Flywheel Effect: A Self-Reinforcing Growth Engine

Our strategy aligns with Jim Collins’ “Flywheel Effect”—a series of well-executed steps that build compounding momentum.

Here’s how our flywheel works:

1. Provide Exceptional Utility: Our AI Agents solve core user friction points, attracting an initial user base.
2. Increase User Engagement: As users rely on our agents, the platform gathers anonymized data, enriching our AI and identifying new opportunities.
3. Attract Third-Party Partners: A growing and highly engaged user base attracts third-party service providers and brands.
4. Create Economic Lock-in: Our stablecoin becomes the default, low-friction transaction method, creating economic stickiness for users and partners.
5. Enhance Network Effects: The increasing number of users, partners, and economic liquidity exponentially grows the platform’s value, making it difficult for competitors to challenge.
6. Drive Further Innovation: Revenue and data generated are reinvested into improving the core AI Agents and developing new experiences, which in turn provides more utility, making the flywheel spin faster.

Conclusion: A Bridge to the Next Digital Civilization

DBiM’s business model, driven by AI Agents and supported by the “DBiM Metaverse AI OS,” is building an unprecedented “autonomous collaborative economic service platform”. We believe AI Agents will not only be the metaverse’s “digital workforce” and “intelligent butlers” but also the key to connecting virtual and real worlds and unlocking the full potential of data and intelligence.

We are committed to exploring the potential of AI technology in building complex economic systems, providing a viable blueprint for the metaverse’s commercialization, and fostering a smarter, more efficient, fair, and sustainable new digital economy. DBiM is not just building a technical platform; we are building a solid bridge to the next digital civilization. We invite you to join us in witnessing and participating in this exciting transformation.