AI

The core distinction between OKZOO and traditional DePIN projects lies in the type of resources the network produces and utilizes. Traditional DePIN projects center on infrastructure resources like hashrate, communication networks, bandwidth, or geolocation. In contrast, OKZOO focuses on environmental data collection and AI data infrastructure. Through P-mini devices, OKZOO gathers real-world environmental data and combines AI Pet and AIOT incentive mechanisms to build an AIoT network.

OKZOO (AIOT) is an AIoT infrastructure integrating AI, IoT, and blockchain networks, collecting real-world data through distributed environmental sensing devices and leveraging AI Pet interaction mechanisms and AIOT tokens to incentivize user data contributions. OKZOO aims to build a global environmental data network, providing trustworthy, Tiempo real, and verifiable data sources for AI models, smart devices, and real-world applications.

OKZOO collects real-world data—such as air quality, temperature, humidity, and noise—via its P-mini environmental sensing device, then uploads the data to a decentralized network for verification and recording. A full data upload process typically involves six stages: environmental data collection, device preprocessing, network verification, on-chain recording, AI data integration, and reward distribution. Unlike traditional IoT networks, OKZOO integrates data contribution, on-chain incentives, and AI use cases, enabling real-world data to continuously become verifiable digital assets and AI resources.

Portal (PORTAL) is an AI-native game creation platform built for game developers and content creators. Leveraging AI agents, automated content generation tools, and creator-first workflows, it unifies and automates the full game development pipeline — from concept and asset creation to testing and release. Portal's goal is to reduce the technical barriers to game development, allowing more individual creators to participate in game development using natural language and AI tools.

Prompt-to-Game is a development methodology that leverages generative AI to directly transform natural language prompts into game content. Creators simply input descriptions of characters, scenes, gameplay mechanics, or narrative backgrounds, and the AI system automatically generates game assets, interaction logic, and foundational gameplay frameworks, dramatically reducing the barrier to entry for game development. Portal positions Prompt-to-Game as a core component of its AI Native game creation ecosystem, handling requirement analysis, game design, asset generation, logic development, and automated testing through the coordinated efforts of multiple AI Agents.

Portal's AI Agent workflow is a game development system powered by multiple AI agents working in tandem, capable of turning creators' creative descriptions into playable game products step by step. The entire process typically covers requirements understanding, game design, asset generation, logic building, automated testing, and content publishing. Each agent handles specific tasks and coordinates with others through a centralized orchestration system.

AIVIVE (AVV) is an on-chain protocol network built around AI-powered consumption use cases. It connects user behavior with protocol operations via cross-chain infrastructure, automated execution systems, and a verifiable economic cycle. The project introduces the Recursive AI Protocol (RAP) concept, aiming to establish a new AI consumption model driven by real-world usage — one that lets protocols evolve based on actual interactions.

AVV is the native asset of the AIVIVE protocol. Its primary role is not to serve as a payment medium but to act as a value anchor within the protocol’s economic cycle. The project does not require users to hold AVV to use its products, nor does it generate demand through staking or governance mechanisms. Instead, it directly ties protocol revenue to changes in token supply.

The AI Agent within AIVIVE is an intelligent agent system equipped with goal comprehension, sustained execution, and automated feedback capabilities. Rather than simply responding to queries, it continuously performs analysis, decision-making, and execution aligned with task objectives.

Catto (CS) is an AI-powered investment agent system designed for digital asset markets. By integrating Automático execution, proactive strategy discovery, continuous monitoring, and intelligent analysis, it delegates the traditionally manual investment decision-making process to autonomous agents. The project focuses not on providing more data, but on helping users reduce execution latency and decision-making burden.

Cattoverse is an AI-powered investment agent system designed for digital asset markets. It enables users to manage assets and engage in the market through continuous monitoring, proactive strategy discovery, automated execution, and intelligent analysis. Emphasizing agent-based collaboration, Cattoverse aims to reduce the time and cognitive overhead associated with users' ongoing manual operations.

Catto (CS) within Cattoverse is an AI-driven investment agent system built for digital asset markets. By leveraging automated execution, continuous monitoring, proactive strategy discovery, and intelligent analysis, it helps users minimize the costs associated with market tracking and trade execution. Unlike conventional trading tools, Catto does not require users to remain online constantly. Instead, it enables the agent to operate autonomously once users have set predefined boundary conditions.

DeepNode (DN) is a decentralized AI infrastructure network purpose-built for the era of Open Intelligence. Its core mission is to connect model developers, computing resource providers, data contributors, and end users, fostering an open, verifiable, and permissionless AI collaboration ecosystem powered by blockchain-based incentives. Unlike traditional AI platforms controlled by a handful of tech giants, DeepNode aims to decentralize model training, inference services, data contribution, and value distribution.

DeepNode is a decentralized AI infrastructure network built on the core principle of Open Intelligence. By connecting model developers, validators, miners, and end users, it creates an open, verifiable, and sustainably evolving collaborative ecosystem for artificial intelligence. Its objective extends beyond providing distributed computing resources to building an intelligent network system capable of continuous learning, ongoing optimization, and autonomous expansion.

The Web5 architecture is a new internet model that integrates artificial intelligence (AI), digital identity, social networks, user ownership, and blockchain infrastructure. Unlike Web3, which primarily centers on assets and decentralized finance (DeFi), Web5 emphasizes intelligent interaction, co-created content, and user-driven digital ecosystem building. Within the MEET48 ecosystem, Web5 links AI-generated content, virtual idols, social networks, metaverse experiences, and community governance, allowing users to simultaneously engage in content creation, interactive collaboration, and value distribution.