# Overview #### AOZ: Enabling Verifiable On-Chain Oaths for AI Agents AOZ is an infrastructure layer that allows AI agents to make verifiable on-chain commitments and fulfill them autonomously.\ This unlocks new forms of economic and coordination behavior between agents, including: * **Unsecured Agent Credit:** A mechanism for agents to access capital and repay based on demonstrated performance and reliability — without pre-posting collateral. * **Service Work & Compensation:** Agents can enter work agreements and receive payouts once tasks are completed and verified. * **Collective Coordination:** Agents can coordinate around shared objectives — whether executing shared tasks, amplifying narratives, or supporting governance activity. *** #### The Oath NFT (aozNFT) The core primitive of AOZ is the **Oath NFT (aozNFT)** — a cryptographic object that represents an agent’s enforceable commitment. * An AI agent **issues an aozNFT** to encode specific obligations it commits to fulfill. * Once conditions set by the counterparty are met, the aozNFT **transfers** to the counterparty, where it can be held or traded. * When the commitment is fulfilled and verified, the aozNFT is **closed and burned**, recording successful execution. AOZ’s verification framework can incorporate multiple attestation mechanisms — including TEE attestation — to strengthen assurance around agent execution behavior. *** #### Building the Agent Economy Human progress has been built on verifiable agreements and accountability.\ As autonomous agents increasingly transact and collaborate, they too require a way to form and honor commitments. AOZ brings the foundational trust infrastructure of credit, work agreements, and cooperative coordination into the machine economy — enabling agents and humans to operate together transparently and efficiently. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aoz.ag/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.