As the DeFi ecosystem expands across multiple chains, protocols, and increasingly complex yield structures, traditional ways of interacting with DeFi have become harder to learn and more difficult to execute. The emergence of Prompt-to-DeFi is seen as one of the key experiments in the Agentic Finance space.
Compared with traditional DeFi aggregators, which mainly integrate protocol access points, INFINIT places greater emphasis on the role of AI Agents in strategy design, reasoning, and execution.
What Is INFINIT’s Prompt-to-DeFi?
As an AI interaction mechanism that generates on-chain DeFi strategies through natural language, INFINIT’s Prompt-to-DeFi allows users to avoid manually carrying out complex protocol operations. They only need to enter a goal or request, and the system can automatically analyze it and generate the corresponding on-chain execution process.
The goal of Prompt-to-DeFi is to let users stop worrying about the specific operational path and simply state their objective, while AI Agents handle the underlying logic automatically.
What Is the Core Logic of Prompt-to-DeFi?
The core logic of Prompt-to-DeFi is to turn natural language requests into executable on-chain operations.
For example, when a user enters:
“Find a low-risk stable yield strategy for ETH”
The system does not simply return a list of protocols. Instead, it analyzes factors such as:
The AI Agent then generates a complete strategy path, such as:
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Convert ETH into an LST
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Deposit it into a lending protocol
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Participate in a stable yield pool
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Automatically optimize the yield path
The whole process is similar to AI “translating” a user’s goal into the execution language of DeFi.
How INFINIT Understands User Prompts
INFINIT’s first step is to semantically understand the user’s prompt. Through large language models (LLMs), the system analyzes the risk preference, yield target, time horizon, asset type, and acceptable range of operations expressed in the user’s input.
Unlike traditional keyword matching, AI Agents focus more on “intent recognition.” For example, “stable yield” and “high yield” would lead to completely different strategy structures.
The system also combines this understanding with real-time on-chain data for dynamic contextual analysis. During periods of high market volatility, for instance, the Agent may reduce the use of leverage. If yields on certain protocols decline, the system may also adjust the strategy path automatically.
This dynamic reasoning mechanism is one of the key differences between Prompt-to-DeFi and traditional strategy template systems.
How AI Agents Select DeFi Protocols
After understanding the prompt, INFINIT moves into the protocol selection stage.
The platform contains multiple specialized Agents, each responsible for different types of protocols, such as lending protocols, DEXs, cross-chain bridges, restaking protocols, and yield aggregators. These Agents continuously monitor TVL, yields, liquidity depth, risk parameters, smart contract status, and on-chain activity. The system then automatically filters protocol combinations based on the user’s goal.
For example, when generating a leveraged looping strategy, the system does more than select a lending protocol. It also evaluates interest rate stability, liquidation risk, borrowing capacity, and asset volatility. Compared with manually researching multiple protocols, AI Agents can complete dynamic filtering and path optimization much faster.
How Prompt-to-DeFi Generates On-Chain Execution Paths
After protocol selection is complete, the system begins building the execution path.
This stage involves:
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Breaking down the order of operations
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Estimating gas costs
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Designing asset conversion routes
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Coordinating across chains
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Controlling slippage
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Simulating risk
For example, a cross-chain yield strategy may include:
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Bridging from Ethereum to Arbitrum
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Converting ETH into stablecoins
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Depositing into a lending protocol
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Automatically configuring yield farming
These steps are automatically connected by AI Agents into a unified workflow.
The system also simulates transaction outcomes in advance to check for insufficient liquidity, excessive slippage, liquidation risk, path failure, and protocol anomalies. Only after validation is passed will the strategy move into the execution stage.
How INFINIT Completes Multi-Step On-Chain Execution
In traditional DeFi operations, users need to click through multiple protocol pages step by step. With Prompt-to-DeFi, AI Agents automatically coordinate these steps.
The system completes the process through a unified execution layer, including:
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Wallet authorization
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Contract calls
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Swaps
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Bridges
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Deposits
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Lending
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Yield allocation
What users see is only the final confirmation interface, while the complex on-chain logic is handled by Agents in the background.
INFINIT uses a non-custodial model, which means the platform does not directly hold user assets. The execution permissions of AI Agents are limited to the scope authorized by the user, helping reduce centralized risk.
This model of “AI automatic coordination plus final user confirmation” is an important design direction in today’s Agentic Finance.
How Prompt-to-DeFi Differs from Traditional DeFi Aggregators
Traditional DeFi aggregators mainly aggregate protocol access points, making it easier for users to access different platforms. In most cases, however, users still need to design their own strategies.
Prompt-to-DeFi further introduces AI Agents, giving the system the ability to:
The biggest difference between the two is whether an “AI strategy layer” exists.
| Comparison Dimension |
Prompt-to-DeFi |
Traditional DeFi Aggregator |
| User Input Method |
Natural language prompt |
Manual operation |
| Strategy Generation |
Automatically generated by AI |
Designed by users themselves |
| Multi-Step Coordination |
Completed automatically |
Executed step by step by users |
| Real-Time Reasoning |
Supported |
Limited |
| Risk Analysis |
Dynamic analysis |
Usually limited |
| Level of Automation |
Relatively high |
Moderate |
Conclusion
INFINIT’s Prompt-to-DeFi is one of the important practical examples of combining AI Agents with DeFi. Its core goal is to reduce the complexity of on-chain finance through natural language interaction.
Compared with traditional DeFi aggregators, Prompt-to-DeFi does more than integrate protocol access points. It also uses AI to automatically handle strategy reasoning, protocol selection, and on-chain execution. Users can complete multi-step DeFi operations without needing to deeply understand complex financial structures.
FAQs
How Does INFINIT’s Prompt-to-DeFi Understand User Needs?
The system uses large language models to analyze the user’s risk preferences, yield goals, asset types, and operational needs, then combines this with real-time on-chain data for dynamic reasoning.
Can Prompt-to-DeFi Automatically Execute Complex Strategies?
Yes. The system can automatically coordinate multiple steps such as swaps, bridges, lending, and yield farming, then generate a unified execution path.
How Is Prompt-to-DeFi Different from Traditional DeFi Aggregators?
Traditional aggregators mainly integrate protocol access points, while Prompt-to-DeFi places greater emphasis on AI automatically generating and executing strategies.
Does INFINIT Custody User Assets?
INFINIT uses a non-custodial model, and user assets always remain in their own wallets.
