Author: Jian Shu I. Technical Background and Problem Definition 1.1 The Rise of the AI Agent Economy With the rapid evolution of AI technology and applications, AI agents are transforming from mere tools into economic participants that create value and provide services. An agent capable of generating professional-grade images is a service worth paying for; an agent capable of deeply analyzing investment portfolios and executing optimal trades is managing real money; an agent capable of reviewing legal documents and warning of risks typically earns hundreds of dollars per hour from human lawyers. This leap in capabilities is giving rise to entirely new economic forms. As AI becomes readily available, every individual, organization, and even intelligent device may operate through intelligent agents. The economic model will undergo a fundamental shift: agents will no longer only interact with humans but will also interact and serve each other. For example, an AI agent responsible for coordinating marketing activities will autonomously hire content creation agents, distribution agents, and data analysis agents. The entire economy will evolve into a network woven from countless AI agents, conducting high-frequency transactions globally at machine-level speeds. 1.2 Core Challenges: The Necessity of Trustless Commerce In traditional business environments, trust is often backed by platforms, evaluation systems, legal frameworks, and social norms. However, as we enter the era of AI-powered brokerage, these mechanisms all fail when an individual or agent hires another. Currently, agents lack verifiable social reputations, reliable evaluation systems to provide reference signals for humans or other agents, valid records of contract terms, legal or reputational accountability mechanisms to match the speed of machine transactions, mechanisms to freeze prepaid funds for undelivered tasks, and no platform or regulatory body with enforcement power. Simple token transfers cannot solve the problem of trust in commerce. Without effective safeguards, even if a service provider absconds with the tokens, the client (or the AI agent issuing the task) will find it difficult to seek accountability. Furthermore, in the context of globalization, interactions between AI agents are not limited to a single country/region, further increasing the difficulty of establishing reliable evaluation systems and regulatory norms. Blockchain-based smart contracts offer a reliable path to address this challenge. Smart contracts deployed on decentralized public blockchains encapsulate fund custody, state machine flow, and evaluation proofs within transparent, immutable code that does not belong to any individual, with the contract acting as a neutral enforcer.Meanwhile, on-chain settlement can also produce something that centralized platforms cannot provide: portable, verifiable, and tamper-proof records. Every completed task, every evaluator's proof, and the hash value of every deliverable are recorded on the chain, providing a data foundation for the reputation system and identity system of intelligent agents, and providing a basis for accountability in case of disputes. II. ERC-8183 Definition and Core Value 2.1 Definition The ERC-8183 protocol is an on-chain standard for decentralized AI intelligent agent economies. Its essence is not a traditional payment protocol, but a commercial infrastructure specification centered around the entire lifecycle of "task—delivery—settlement." This standard uses "Job" as its core primitive, defining a three-party collaborative model consisting of a client, a provider, and an evaluator, and implementing a complete state machine process (open, funded, submitted, completed/rejected/expired) through smart contracts for task publishing, fund custody, result submission, and result adjudication. Within this framework, payment is no longer a single action, but a procedural process strongly bound to task conditions, delivery verification, and evaluation mechanisms, thereby enabling on-chain business execution without the need for trust intermediaries. 2.2 Core Value: The innovation of ERC-8183 lies in shifting "trust" from centralized platforms to verifiable on-chain logic. Through smart contracts that manage funds, record deliverables, and introduce evaluation mechanisms, it achieves deterministic settlement and traceable business history. This design not only solves the problem of a lack of trust among AI agents but also constructs a portable and tamper-proof transaction and reputation data layer, enabling any agent or system to reuse historical signals for decision-making, thereby promoting large-scale collaboration in the decentralized agent economy. Furthermore, its scalable Hook mechanism allows complex business logic (such as bidding, fund management, and privacy computation) to be extended and implemented under a unified standard, ultimately forming an open, permissionless, and composable on-chain business network, providing the underlying trust and settlement infrastructure for the AI-native economy. III. Detailed Explanation of the ERC-8183 Protocol 3.1 Protocol Architecture As shown in the diagram above, the ERC-8183 protocol presents a contract-based architecture centered around the task lifecycle: with smart contracts at its core, it integrates the fund custody mechanism, task state transitions, and pluggable Hooks extensions into a unified execution framework. From creation to completion, a task undergoes a continuous state evolution, sequentially progressing through initiation, funding, submission, and finalization, with funds automatically held in custody and released according to the state. Simultaneously, extension interfaces are reserved at key execution nodes to support flexible integration of different business logics.On this structure, the client, service provider, and evaluator collaborate around the same task object, respectively completing initiation, execution, and verification, enabling automated connection and closed-loop settlement of the entire process on-chain. The following paragraphs detail the mechanism. 3.2 Three-Tiered Role Collaboration Mechanism In ERC-8183, each business activity is called a Job, and its flow depends on the precise cooperation of three roles. Client: The role that initiates the business activity. Core logic: Calls createJob to define task requirements and pre-deposits funds. Responsibility: Sets the expiration time of the task (expiredAt). If it is not completed within the time limit, the money will be automatically returned to the Client. Provider: The AI or human responsible for executing the work and submitting deliverables (usually the hash value of the result or on-chain proof). Core logic: After listening to on-chain events, it accepts the order and executes it. After completion, it calls submitWork to submit the result hash. Key point: At this time, the Provider does not yet receive the money; the money is still locked in the contract. Evaluator: The most groundbreaking and core design of this protocol. The evaluator is responsible for verifying the results and deciding whether the funds held in the smart contract should be released to the Provider or returned to the Client. The Evaluator can be another objective AI, a zero-knowledge proof circuit (ZK-circuit), or a multi-signature wallet. Core logic: Read the content submitted by the Provider. If it is an objective task (such as code running successfully), the Evaluator may be another auditing AI; if it is a subjective task, it may be a multi-signature wallet authorized by the Client. Final review right: Call completeJob (release funds) or rejectJob (refund). 3.3 Smart Contract State Machine (Lifecycle) The progress of a Job depends entirely on the automatic flow of the smart contract state machine without any intervention from a centralized server: Open: The Client creates a task. At this time, the Provider can be empty (address(0)), which means that this is a public bounty. Funded: Funds are locked in the contract's escrow pool, forming a trust basis. Submitted: The Provider submits the work results. Terminal (Final State): The Evaluator intervenes to adjudicate, and the final state includes three possibilities: Completed (verification passed, funds are transferred to the Provider), Rejected (verification failed, funds are returned to the Client), and Expired (task timed out, funds are automatically unlocked and returned). 3.4 Multi-role Collaborative Workflow ERC-8183 enforces a set of business collaboration processes in a trustless environment through smart contracts: Publishing and Locking (Client Initiated): The principal calls the main contract's createJob function, must specify the address of an Evaluator, and transfer the reward to the contract.This money was…