Technology for Intent Translation and Execution

The technological foundation of ADIE.AI’s intent execution system lies in the seamless interplay between advanced AI processing, standardized modular communication, and trustless blockchain interaction. Each layer is meticulously designed to ensure that natural language inputs can be securely and efficiently converted into real-world on-chain actions.

At the center of this architecture is the MCP Protocol (Modular Communication Protocol), a standardized interface layer that bridges AI agents with multiple blockchains and decentralized tools. MCP modularizes blockchain functionalities into composable building blocks—such as swapping, staking, liquidity provisioning, meme trading, and bridging—allowing AI agents to dynamically assemble execution paths based on user intent without needing to integrate each protocol manually.

Top Layer: [ User Intent Layer ] (Freeform expressions, task requests) ↓ Middle Layer: [ AI Agent Execution Layer ] - Intent Parsing (NLP) - Action Planning - Parameter Setting ↓ Core Layer: [ MCP Protocol Interface ] - Modular Contract Connectors: • Swap Module (DEX interactions) • Yield Farming Module • Lending/Borrowing Module • Meme Sniping Module (optional) • Bridge Module (Cross-chain) ↓ Bottom Layer: [ Blockchain Networks ] - Ethereum - BSC - Layer2s - Other Chains

Key Technology Components:

Natural Language Processing (NLP) Engine

AI agents use advanced NLP models fine-tuned for blockchain-related semantics to parse user inputs. The output includes structured commands (e.g., swap, stake, harvest) and associated parameters (amounts, assets, conditions).

Intent Classification and Routing

Parsed intents are classified into execution categories and mapped to corresponding MCP modules. This enables the system to dynamically route actions to the correct smart contract functions across different chains.

MCP Modular Connectors

MCP abstracts protocol-specific differences, exposing standardized interfaces (e.g., Swap(), AddLiquidity(), Stake(), ExecuteMemeTrade()) while maintaining chain-specific optimizations. It ensures plug-and-play extensibility across new DeFi, Meme, or cross-chain applications.

Secure Execution Framework

Every action initiated by AI agents through MCP includes user-defined permission sets—such as transaction limits, gas caps, asset scope—which are enforced at execution time. Transactions are signed and broadcast in a non-custodial, auditable manner.

Dynamic Strategy Assembly

By modularizing blockchain operations, AI agents can flexibly combine different MCP modules in real-time based on changing market conditions, user intent adjustments, or predictive optimization feedback.