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Preliminary study of DeFAI: Deep integration of DeFi and AI, three core scenarios promote the large-scale application of DeFi

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Reprinted from panewslab

01/06/2025·5M

Preliminary study of DeFAI: Deep integration of DeFi and AI, three core
scenarios promote the large-scale application of DeFi

Original text: Daniele

Compiled by: Yuliya, PANews

Since its birth, decentralized finance (DeFi) has always been committed to building an open global financial ecosystem with the core concept of giving individual asset autonomy and eliminating traditional intermediaries. However, despite the rapid development of DeFi, its complex user interface, numerous protocols, and high-risk operational decisions still deter many users.

The next stage of DeFi - DeFAI , the deep integration of artificial intelligence (AI) and decentralized finance, is reshaping this field. By introducing advanced AI technology to simplify the user experience and optimize the financial decision-making process, DeFAI aims to lower the entry barrier and achieve a more autonomous and efficient financial interaction method.

This article will deeply explore the three core application scenarios of AI in DeFi and analyze how it promotes the evolution of decentralized finance.

1. AI-driven DeFi interactive interface

DeFi users, whether new or experienced players, often face the complexity of executing transactions across multiple protocols. Existing processes typically include:

  • Access decentralized applications (dApps);

  • Connect a wallet (such as Metamask, Ledger or Phantom);

  • Enter transaction details;

  • Confirm the transaction multiple times and verify the contract address.

This tedious process is time-consuming and error-prone, especially when using multiple DeFi protocols. An AI-powered interactive interface significantly simplifies this process. Users can issue instructions directly through natural language, such as: " Exchange 3 ETH for USDC" or " Provide liquidity in the ETH-USDC pool."

In the background, AI will automatically complete:

  1. Parse user requests;

  2. Search for the best liquidity sources;

  3. Generate transaction data;

  4. Users are prompted to select a wallet for signing operations (either custodial or self-hosted, such as Ledger or Phantom).

The intervention of AI reduces the complexity of the transaction process to a minimum, and users only need to complete the final signature. DeFAI greatly improves user experience by eliminating operational redundancy, helping more users easily enter the DeFi field.

2. Autonomous DeFi smart agent

Although the AI ​​interactive interface simplifies the transaction process, the real change lies in the introduction of autonomous DeFi intelligent agents. These AI agents can control hot wallets, execute complex multi-step financial strategies based on natural language instructions, and realize full-link automated transactions.

For example, the user only needs to enter the following command:

“Bridge ETH from mainnet to Base, exchange half for USDC, create a liquidity pool in Uniswap v2 using both tokens, and return LP tokens to the main wallet.”

The intelligent agent will automatically execute the entire process, including:

  1. Choose a secure cross-chain bridging protocol;

  2. Plan the optimal exchange path;

  3. Create liquidity pools in decentralized exchanges (DEX) such as Uniswap;

  4. Return the generated LP tokens to the user wallet.

This system can not only execute complex transactions, but also dynamically optimize security and cost. AI automatically checks protocol reputation, compares transaction fees, monitors slippage, and chooses the lowest-cost, fastest, and most secure path. Autonomous DeFi agents effectively reduce user operational risks and make complex financial operations intuitive and controllable.

3. Intelligent research and information interaction agent

As DeFi continues to expand, the amount of information users need to process also increases. Price data, on-chain analytics, protocol documentation, governance forums, and social media discussions are all a constant flow of information. And sorting and verifying this information before making capital allocation decisions is a full-time job.

Research and information exchange agents are another important application scenario of DeFAI. The agent connects multiple data sources such as on-chain browsers, market data interfaces, GitHub code libraries, and governance forums to help users quickly obtain and interpret key data. Users can issue messages to the agent such as:

  • “What is the best yield strategy for ETH based on my current portfolio?”

  • “Is it possible to find a similar token with a larger market cap than $ANON? What are their key differences? How much does $ANON need to rise to reach a similar market cap?”

Instead of spending hours or even days manually researching, validating, and cross-checking information from multiple parties, users rely on research agents to provide concise, data-based recommendations and insights. Not only does this save time, it also ensures users have the latest information from numerous trusted sources and can focus on higher-level decision-making.

Powered by Heyanon.ai

The above three major DeFAI application scenarios - natural language trading interface, autonomous DeFi intelligent agent, and research and information interaction agent, are all developed by Heyanon.ai, and plans to launch a public beta version at the end of January. These tools aim to lower the barriers for users to enter the DeFi market, enhance trust, and promote the popularization of decentralized finance to a wider range of people.

By automating transaction generation, on-chain information verification, and execution of complex financial operations, DeFAI is leading a financial revolution, allowing users to truly achieve asset autonomy and freely choose centralized or decentralized financial instruments without having to face cumbersome technology. problem.

Future outlook for DeFi: lowering the threshold and increasing freedom

From traditional Metamask manual interaction, to AI-assisted transaction generation, to multi-step autonomous trading agents, DeFi is ushering in a new chapter of technological change. The in-depth application of AI in the DeFi field will greatly improve user decision-making efficiency, optimize risk management, and achieve a seamless on-chain interactive experience.

Under this new landscape, both experienced crypto investors and DeFi novices can use AI tools to easily manage assets, perform complex transactions, and avoid asset losses due to human errors or lack of information.

With the continuous development and maturity of DeFAI tools such as Heyanon.ai, decentralized finance will enter a new era that is more inclusive, secure and efficient. DeFi is no longer the exclusive domain of niche players, but an inclusive financial system for global users. The arrival of DeFAI not only heralds the next stage of decentralized finance, but also accelerates the evolution of DeFi from a niche market to a mainstream market.

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