Intelligent Trend: How the combination of intent trading and AI agents will change Blockchain interactions?

The combination of intent trading and artificial intelligence agent ( AI-Agent ) is bringing new development directions to blockchain applications. This combination aims to simplify the user experience, enhance transaction security, and create more innovative opportunities for decentralized applications.

The Core Concept of Intent Trading

Intent-based trading allows users to express trading goals without worrying about specific execution steps. Users sign a contract that "outsources" the trade to a third-party problem solver. As long as the results meet the conditions set by the user, the solver can implement freely. This model has two core features:

1. Use a declarative approach, directly stating the expected outcome rather than specifying the exact steps.

2. Delegate the construction of actual transactions to third-party solvers, who will generate the required Blockchain transactions.

Intentional trading applies to digital currencies with homogeneity, such as Bitcoin, allowing users to not worry about price differences affecting product quality.

Advantages of Intentional Trading

Intended transactions can simplify the trading process and enhance user experience:

• Reduce transaction details, simplify dApp usage
• Supports repeated transactions and conditional trigger transactions
• Lower the threshold for new users to use.
• Reduce slippage by executing at flexible times.
• Can set the maximum acceptable slippage fee

Potential applications include limit orders, regular purchases, automatic transfers, etc. Compared to traditional trading models, intention trading is more transparent and can reduce the risk of MEV attacks.

UniswapX: The Practice of Intent Trading

UniswapX is a decentralized trading protocol based on the concept of intent trading. It employs a permissionless auction mechanism that allows users to trade across different sources of liquidity. Users only need to express their trading intent without worrying about the specific execution process.

UniswapX includes three types of reactors to handle different types of orders. After the user signs the contract, the order is publicly available for others to fill. "Fillers" can use various methods to complete the transaction and obtain the best price from multiple liquidity sources.

This mechanism provides users with an efficient and transparent trading environment, while addressing some of the issues faced by traditional AMMs.

Characteristics and Advantages of AI Agents

AI agents are intelligent programs capable of making autonomous decisions and executing tasks. Their core components include:

• Large language models as the "brain"
• Observation and Perception Mechanism
• Reasoning process
• Execution Capability
• Memory and retrieval functions

AI agents can be reactive, proactive, learning, or collaborative, capable of independently executing complex tasks. Compared to traditional LLMs, AI agents place more emphasis on the ability to use and control other tools.

AI agents have a wide range of applications in various fields, providing services such as personalized recommendations, intelligent customer service, and data analysis. Their advantages include:

• Improve efficiency and consistency
• Achieve personalized experience
• Scalability
• Reduce costs
• Enhance innovation capability
• Enhance security

The Combination of AI Agents and Intent Trading

In intention trading, AI agents can act as smart personal assistants to help users complete various tasks. It can:

• Understand users' natural language input
• Interact with the solver
• Automatic execution of trading strategies
• Optimize trading execution

AI agents can quickly interpret user intentions and communicate with solvers to generate results. Solvers can connect to multiple liquidity sources to find the optimal trading path.

Future Outlook

Some companies have begun to explore the application of combining AI agents with intent trading. For example, Circle's TXT2TXN prototype allows users to exchange and transfer funds by inputting their intent.

Possible directions for future improvements include:

• Enhance the ability of AI to understand and confirm intentions
• Expand the functionality of AI agents, such as purchasing NFTs.
• Integrate personal address book to enhance user experience

It is also important to note the risks that may arise from the solver obtaining user intent information, such as market manipulation. It is necessary to establish appropriate regulations and trust mechanisms.

The combination of intent trading and AI agents will bring new possibilities for blockchain applications, promoting the evolution of trading methods towards a more intelligent and convenient direction. However, during the development process, it is also necessary to pay attention to potential risks to ensure the healthy development of the ecosystem.