CodexField is undergoing a complete upgrade to a unified asset market system for the AI era. This system will have the capabilities of autonomous trading, intelligent execution, cross-chain liquidity aggregation, and asset ownership confirmation. It will be able to support multiple elements such as crypto assets, RWA, strategy assets, and model assets under the same architecture, and generate revenue autonomously based on AI capabilities.
Within CodexField's new ecosystem, two major product lines have been expanded: the AI Vault yield system powered by the Codex AI Engine, and five main components—the CDX trading platform, CDX DEX, the aggregation ecosystem, CDX Wallet, and a content/model asset system. This product matrix forms the complete foundation for the ecosystem's execution, clearing, entry point, depth, and asset sourcing. Currently, all five product components have been launched to the market, and CodexField's role in the market is evolving from a tool-based product to an infrastructure capable of supporting multi-asset liquidity and automated management.
Recently, CodexField further launched its AI Yield Farming Pool product. Running on its self-developed Codex AI Engine, it provides participants with a sustainable on-chain reward path through real-time data analysis, automated strategy execution, and cross-market scheduling. With the launch of the AI Yield Farming Pool, CodexField's value cycle mechanism has officially entered operational status, and ecosystem growth will transition from a user-driven model to an AI-led, sustainable growth structure.
Value Cycle Engine: AI Machine Gun Pool Ecosystem
CodexField's AI Trading Engine (Codex AI Engine) serves as the execution hub of the entire ecosystem, responsible for real-time decision-making, path selection, and automated order placement in a multi-chain, multi-asset environment. Based on its self-developed AI strategy system, the system continuously analyzes depth, price slippage, funding costs, and execution probabilities using on-chain data, order flow structure, and market micro-indicators, thereby finding the optimal execution path for trades, strategies, and fund allocation at any given time.
During operation, the AI engine dynamically adjusts its decisions based on market changes, including reassessing risk status, reconstructing the path, adjusting positions, or stopping losses in advance. All behavioral data, execution results, and market feedback are incorporated into the training samples, enabling the strategy to continuously improve its stability and profitability through iterative iterations—forming a self-evolving system that gets stronger with each iteration.
The AI engine not only executes strategies but also acts as a risk buffer within the ecosystem. When on-chain liquidity is tight, market volatility intensifies, or a fund imbalance occurs in an asset pool, the system proactively adjusts internal liquidity allocation, accesses external depth, and reduces risk exposure to ensure CodexField's overall resilience. As the ecosystem expands, the AI engine will gradually become a protocol-level liquidity source, providing the network with continuous returns, depth, and stability.
Leveraging its new execution capabilities, AI Vault achieves a fully automated revenue system. AI Vault utilizes the engine's real-time decision-making and cross-market scheduling capabilities to aggregate trading profits, arbitrage opportunities, derivatives revenue, and multi-platform incentives into a continuously flowing revenue stream, providing participants with stable output without manual intervention. As more assets and funds flow into the ecosystem, AI Vault will become one of the core growth engines after CodexField's value cycle begins.
Three stages of AI machine gun pool development
Within CodexField's overall architecture, the AI Vault plays a crucial role in generating revenue, allocating assets, and ensuring the return of ecosystem value. To ensure the sustainability and scalability of the revenue system, the AI Vault will gradually release its capabilities in three phases, each corresponding to stronger market reach, richer strategic scenarios, and a more robust value cycle system.
In the first phase, the system uses Proof-of-Agent (PoA) as the initial source of funding and user engagement.
When users contribute assets and participate in the PoA ecosystem, the CODEX rewards they receive are sold, triggering a protocol-level buyback. 35% of this buyback is directly injected into the AI yield aggregator pool to reward participants in the genesis phase. In this way, the yield aggregator pool receives initial returns from real market activity early on, establishing a foundational funding pool for subsequent strategy execution and capacity expansion, and providing a clear and visible incentive path for the first batch of users.
After entering the second phase, the revenue source of the AI machine gun pool began to grow formally from "within the ecosystem".
The AI engine will execute quantitative strategies on the CDX trading platform and CDX DEX, including capturing the spread between spot and perpetual futures, supplementing market-making liquidity, balancing risk indicators, and automated trading strategies based on internal depth. At this stage, the system's profit structure becomes clearer, consisting of real trading volume, market-making profits, and profits from internal strategy execution. All profits are distributed transparently and verifiably to users participating in the yield farming pool according to the rules. This marks a crucial milestone for the AI yield farming pool, transitioning from "initial accumulation" to "strategy execution," and represents the first formation of a value return system.
Once AI execution capabilities mature, the machine gun pool will enter its third phase, fully transitioning to open cross-market strategy execution.
During this phase, Codex AI Engine's capabilities will expand to the entire network: automatically scheduling strategies across chains, exchanges, derivatives, and multi-asset systems, including arbitrage, trend following, portfolio management, and deep external utilization. The source of revenue thus upgrades from "internal scenarios" to "network-wide capture," not only expanding the scale of revenue but also providing CodexField's value cycle with greater external incremental space. At this point, the AI yield farming pool is no longer just an internal ecosystem tool but becomes CodexField's strategy production engine, continuously injecting real market revenue into the system and providing long-term and stable value support for CODEX.
In fact, these three new phases are forming a clear evolutionary path: from early PoA accumulation to internal policy execution, and then to network-wide revenue capture. As the phases progress, CodexField's value cycle expands from "endogenous growth" to "external revenue-driven," forming a sustainable, scalable, and verifiable revenue system, laying a solid foundation for CODEX's long-term value.
The value cycle system has been fully launched.
With the opening of the AI yield farming pool, CodexField's ecosystem now possesses a complete value flow path for the first time: asset entry, strategy execution, profit return, and redistribution form a continuous chain, enabling the system to become self-driven and self-accumulating. The previously launched CDX trading platform, CDX DEX, aggregation ecosystem, CDX Wallet, and content and model asset system will also be naturally integrated into the same operating architecture, transforming CodexField from a tool-type component into an infrastructure layer capable of supporting multi-asset management and automated execution.
The addition of the AI yield farming pool provides the ecosystem with a long-term, verifiable, and directly market-linked source of revenue, making CODEX's value growth logic clearer and more structured. As more assets and external markets are connected to the execution network, CodexField's revenue potential will expand from within the ecosystem to a broader on-chain environment, creating a continuously enhanced value return capability.
Under the new framework, CodexField is rapidly evolving towards an "execution system + yield network + multi-asset carrying layer," laying a solid foundation for future large-scale growth and providing more robust support for the long-term value of CODEX.
In the future, with the enhancement of automated execution capabilities, the further opening of multi-chain depth, and the comprehensive expansion of derivatives and cross-market scheduling capabilities, CodexField will gradually evolve into an infrastructure layer capable of supporting multi-asset collaboration and intelligent management. CODEX will assume more core functions in key aspects such as trading, execution, strategy deployment, and profit return, becoming an important asset supporting the continuous growth of the entire system.
With the increasing maturity of AI-driven finance, asset networking, and intelligent execution systems, CodexField will continue to expand its execution framework to a global, multi-market, and multi-asset model, bringing long-term, certain, and verifiable value to users, institutions, and ecosystem partners.
