Heyanon.ai will launch the public beta version of the 'AI-driven DeFi interactive interface, autonomous DeFi smart agents, and research and information interactive agents' at the end of January. This article is sourced from a piece by Daniele and organized and compiled by PANews. (Background: Will AI be the narrative thread of this cycle? Examining the development status of various AI agents through platform comparisons.) (Context: Sam Altman's outlook for 2025: the first AI agents will flood into the labor market, getting closer to AGI...) Since its inception, decentralized finance (DeFi) has always focused on empowering individuals with asset autonomy and eliminating traditional intermediaries, striving to build an open global financial ecosystem. However, despite the rapid development of DeFi, its complex user interface, numerous protocols, and high-risk operational decisions still deter many users. The next phase of DeFi—DeFAI, which is the deep integration of artificial intelligence (AI) and decentralized finance, is reshaping this field. By introducing advanced AI technologies to simplify user experience and optimize financial decision-making processes, DeFAI aims to lower entry barriers and achieve a more autonomous and efficient way of financial interaction. This article will delve into the three core application scenarios of AI in DeFi and analyze how it drives the evolution of decentralized finance. 1. AI-driven DeFi Interactive Interface DeFi users, whether newcomers or seasoned players, often face the complexity of executing transactions across multiple protocols. The existing process usually includes: Accessing decentralized applications (dApps); Connecting wallets (such as Metamask, Ledger, or Phantom); Inputting transaction details; Confirming transactions multiple times and verifying contract addresses. This cumbersome process is both time-consuming and error-prone, especially when using multiple DeFi protocols. The AI-driven interactive interface significantly simplifies this process. Users can issue commands directly in natural language, such as: 'Swap 3 ETH for USDC' or 'Provide liquidity in the ETH-USDC pool.' In the background, AI will automatically complete: Parsing user requests; Searching for the best liquidity sources; Generating transaction data; Prompting users to select a wallet for signature operations (whether custodial or self-custodial, like Ledger or Phantom). The intervention of AI minimizes the complexity of the trading process, and users only need to complete the final signature. DeFAI enhances user experience significantly by eliminating operational redundancies, allowing more users to easily enter the DeFi space. 2. Autonomous DeFi Smart Agents Although the AI interactive interface simplifies the trading process, the real transformation lies in the introduction of autonomous DeFi smart agents. These AI agents can control hot wallets and execute complex multi-step financial strategies based on natural language commands, achieving full-link automated trading. For example, a user only needs to input the following command: 'Bridge ETH from the mainnet to Base, swap half for USDC, create a liquidity pool with both tokens on Uniswap v2, and return the LP tokens to the main wallet.' The smart agent will automatically execute the entire process, including: Selecting a secure cross-chain bridging protocol; Planning the optimal swap path; Creating liquidity pools on decentralized exchanges (DEX) like Uniswap; Returning the generated LP tokens to the user's wallet. This system can not only execute complex trades but also dynamically optimize for security and cost. AI will automatically check protocol reputations, compare transaction fees, monitor slippage, and select the path with the lowest cost, fastest speed, and highest security. Autonomous DeFi agents effectively reduce user operational risks, making complex financial operations intuitive and manageable. 3. Smart Research and Information Interactive Agents As the DeFi ecosystem continues to expand, the volume of information users need to manage also increases. Price data, on-chain analysis, protocol documents, governance forums, and social media discussions create an overwhelming flow of information. Moreover, organizing and verifying this information becomes a full-time job before making capital allocation decisions. Research and information interactive agents are another important application scenario of DeFAI. This agent connects to multiple data sources such as on-chain browsers, market data interfaces, GitHub code repositories, and governance forums, helping users quickly acquire and interpret key data. Users can issue commands to this agent such as: 'What is the best yield strategy for ETH based on my current portfolio?' 'Can you find a similar token with a market cap larger than $ANON? What are their key differences? How much does $ANON need to rise to reach a similar market cap?' Users no longer need to spend hours or even days manually researching, verifying, and cross-checking information from multiple sources; instead, they rely on the research agent to provide concise, data-driven recommendations and insights. This not only saves time but also ensures that users receive the latest information from numerous reliable sources, allowing them to focus on higher-level decisions. Powered by Heyanon.ai The three major DeFAI application scenarios—natural language trading interfaces, autonomous DeFi smart agents, and research and information interactive agents—are all led by Heyanon.ai and are planned to be launched in the public beta version at the end of January. These tools aim to lower the barriers for users entering the DeFi market, enhance trust, and promote the wider adoption of decentralized finance. Through automated trade 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 between centralized or decentralized financial tools without facing cumbersome technical challenges. Future Outlook for DeFi: Lowering Barriers, Increasing Freedom From traditional manual interactions with Metamask to AI-assisted trade generation and multi-step autonomous trading agents, DeFi is ushering in a new chapter of technological revolution. The deep application of AI in the DeFi space will greatly enhance user decision-making efficiency, optimize risk management, and achieve seamless on-chain interaction experiences. In this new landscape, whether seasoned crypto investors or DeFi newcomers, all can easily manage assets and execute complex trades with AI tools, avoiding asset losses due to human errors or information gaps. As DeFAI tools like Heyanon.ai continue to develop and mature, decentralized finance will enter a more inclusive, secure, and efficient new era. DeFi is no longer an exclusive domain for niche players but a universal financial system accessible to global users. The arrival of DeFAI not only signifies the next phase of decentralized finance but also accelerates the evolution of DeFi from a niche market to a mainstream market. Related Reports CES 2025 will be held next week) Bank of America predicts: NVIDIA will announce its entry into the AI PC market! There’s a small chance of launching a CPU AI era, please embrace real information and users, and be wary of conspiracy groups. Messari's six major crypto predictions for 2025: ETH's strong comeback, Peaq may surpass all L2s, will the AI agent craze peak? 'DeFi Merges with AI: How the Three Core Scenarios of DeFAI Promote the Evolution of Decentralized Finance' was first published on Dongqu...

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