AI Agent Empowered Layer2 Implementation: In-Depth Analysis of Optopia

It has been over a year since Paradigm introduced the Intent-Centric concept and listed it as a key area of focus. In addition to the star projects that attracted attention at ETHCC, more teams have chosen to quietly cultivate and focus on product iteration and practical applications.

With the rapid development of the AI field, especially in the practice of AI Agent, a more crypto-native concept of AI+crypto products has emerged, namely AI Agent as a Solver. However, implementing this based on cryptoeconomic incentive mechanisms remains a significant challenge.

The recently launched mainnet of Optopia may provide the market with a latest engineering practice reference that combines AI Agent and Intent-Centric.

Review of Intent-Centric Architecture: Key Engineering Challenges

A year later, we re-examine the progress of the Intent-Centric track and conduct an in-depth analysis of the constraints of engineering practices.

Intent can be described as "on-chain users proposing goals and constraints, outsourcing the complexity of interacting with the blockchain while ensuring users maintain control over their assets and crypto identities during the optimization of the path". A trading aggregator is a mature example of Intent, where users propose the goal and constraints of "executing A/B trading pairs for X amount at the best price". The aggregator is responsible for finding the optimal price routing across different liquidity pools and displaying simulated execution results on the front end.

The main roles of the General Intent-Centric architecture include:

• Client: The front end that interacts with users, converting user input into structured intent descriptions.
• Driver: Responsible for ATO broadcasting, simulation verification, and solution aggregation
• Solver: Implementer of intent, providing the optimal execution path based on constraints

Although the concept of Intent has sparked widespread discussion, there are many challenges in its engineering implementation, including user asset security, information translation loss, the entry of Solvers, selection, settlement, and incentive mechanism design.

Optopia Architecture Analysis: AI Agent-Based Solutions

Optopia is the first Ethereum layer 2 designed specifically for Intent engineering, building an intention center publishing framework for the on-chain AI ecosystem.

Optopia is built on the Op stack framework, utilizing 4everland's Raas services and selecting Arweave as the DA service provider. This creates a low-cost, high-efficiency, and modular infrastructure for AI agents to execute Web3 transactions.

The intent release center framework of Optopia mainly includes:

• Intent Publisher: Create intents and allocate tokens to incentivize AI agents to execute
• AI Agent: Interact with the intention center, utilize knowledge to achieve intentions and earn rewards.
• Builders: Training and publishing knowledge for AI agents to learn and use.
• $OPAI token holders: Lock tokens to obtain vlOPAI, vote to determine intent emission weight.

Optopia has further developed the concept of Intent execution by introducing AI Agent as a Solver. The AI Agent can enhance execution capabilities by utilizing the knowledge base created by builders, achieving smarter path searching.

Integrating Cryptoeconomics: The Path to a Unified Incentive Framework

Optopia introduces the ve model to address issues such as significant discrepancies in AI Agent processing results and inconsistencies between incentives and objectives. Its execution process includes:

1. Intent to create and incentivize distribution
2. Knowledge Training and Release
3. AI Agent Interaction Execution Intent
4. Rewards distributed to AI agents and builders
5. $OPAI holders participate in governance

The ve model plays an important role in balancing the interests of all parties in the game, while also creating a second-layer product space for ecological developers, such as Convex-like products that liberate vlOPAI liquidity.

Overview of Optopia: Summary and Future Outlook

Optopia has expanded its chain-level Solver capabilities by introducing AI Agents, and the ve model has solved the incentive problem. After the mainnet launch, Optopia is attracting more Agent builders to join, committing to becoming a user-friendly portal for Web3.

Recently, Optopia completed its seed round financing, receiving support from multiple investment institutions. The funds will be used for infrastructure optimization, enhancing AI capabilities, building decentralized technology, and increasing community engagement.

Ordinary users can participate in early token issuance through Gas Mining, consuming gas fees to earn token rewards during specific Booster Events, enhancing network participation and promoting initial trading activities.

As a pioneer in the combination of AI and crypto, Optopia's practice has positive exploratory significance for the entire market.