AI Agent Empowered Intent-Centric Layer2: Innovative Practices of Optopia

The Intent-Centric concept has been proposed by Paradigm as a key area of focus since 2023, and it has been more than a year since then. During this time, aside from a few eye-catching projects, more teams have chosen to work quietly, focusing on product optimization and practical applications.

With the rapid development of the AI field, especially in the practice of AI Agents, a concept for AI+crypto products that is more in line with the cryptocurrency ecosystem is gradually taking shape, viewing AI Agents as problem solvers. However, implementing this concept based on the incentive mechanisms of crypto-economics remains a significant challenge.

The recently launched mainnet Optopia may provide the market with a reference for the latest engineering practice that combines AI Agent and Intent-Centric concepts, driven by economic incentives.

Review of Intent-Centric Architecture: Key Engineering Challenges

A year later, we revisit the progress of the Intent-Centric track and conduct an in-depth analysis of the constraints faced by its engineering practices.

Intent can be described as "users on-chain propose goals and a set of conditional constraints, outsourcing the complexity of interacting with the blockchain while ensuring users maintain control over their assets and crypto identities on the optimal path to realization." A trading aggregator is a typical example of an Intent application, where users propose the goal and constraint of "executing a trade of quantity X between trading pair A/B at the best price," while the aggregator is responsible for finding the best price routing across various liquidity pools and presenting simulated execution results to the user.

A universal Intent-Centric architecture mainly includes the following roles:

• Client: The frontend that interacts with the user, converting user input into structured intent descriptions.
• Driver: Plays a central role in the entire architecture, responsible for ATO broadcasting, simulation verification, and solution aggregation.
• Solver: The implementer of the intent, usually there are multiple, providing the optimal execution path based on intent constraints.

However, the Intent-Centric concept faces many challenges in engineering implementation, including user asset security, information loss in natural language translation, as well as issues related to the choice of Solver and incentive mechanism design.

Optopia Architecture Analysis: An Innovative Solution Based on AI Agents

Optopia, as the first Ethereum Layer 2 designed specifically for Intent engineering, has built a unique intent center publishing framework for the on-chain AI ecosystem.

From a modular perspective, Optopia is built on the RaaS( Rollup as a Service) service based on 4everland, using the Op stack framework and selecting Arweave as a decentralized storage solution to ensure data persistence and accessibility. This design provides a low-cost, efficient, and modular infrastructure for AI agents to execute Web3 transactions.

The intent publishing center framework of Optopia mainly includes the following roles:

• Intention Publisher: Create intentions and allocate tokens to incentivize AI agents to execute.
• AI Agent: Interact with the Intent Center, utilize knowledge to fulfill intentions and gain rewards.
• Builders: Training and publishing knowledge for AI agents to learn and use, incentivized based on the share of points earned by AI agents using their knowledge.
• $OPAI token holders: Can lock tokens to gain vlOPAI and influence the emission weight of intentions through voting.

In the Optopia ecosystem, the AI Agent takes on the role of the traditional Solver but integrates at a deeper level. The AI Agent is capable of leveraging the specific knowledge base created by builders to enhance execution capabilities, achieving an upgrade from preset path execution to intelligent path searching.

The Fusion of Crypto-Economics: An Innovative Incentive Framework

Optopia has introduced the classic ve model to address the discrepancies and incentive misalignment issues that may arise in the processing results of AI Agents. The execution process of its Intent Release Center framework includes:

1. Intention to create and incentivize
2. Knowledge Training and Release
3. AI Agent Interaction
4. Reward Distribution
5. $OPAI holders participate

This design balances multiple interests and encourages all parties to continuously optimize system performance. The ve model not only balances the games among various parties but also creates a second-layer product space for ecological developers, such as developing Convex-like products to free up vlOPAI liquidity and conduct delegated voting.

Optopia Outlook: Future Development and Opportunities

Optopia has expanded its Solver capabilities at the chain level through the introduction of AI Agents and the adoption of ve models, addressing incentive issues. As more and more Agent builders join, Optopia is expected to become a friendly gateway for large-scale users entering Web3.

Recently, Optopia completed its seed round financing, receiving support from several well-known investment institutions. The funds raised will be used for infrastructure upgrades, enhancing AI capabilities, building decentralized technology, and increasing community engagement.

For ordinary users, Optopia provides the opportunity to participate in early token issuance through Gas Mining. The gas fees incurred by users during specific Booster Events can be used for mining, earning token rewards, thereby enhancing user engagement and driving initial network growth.

As a pioneer in the integration of AI and cryptocurrency, Optopia's practices provide valuable exploratory experience for the entire market, showcasing the immense potential of combining AI Agents with the Intent-Centric concept.