Architecture

Autheriq AI is architected to seamlessly blend the intelligence of LLMs with the trustless infrastructure of decentralized finance. The architecture is modular, scalable, and fully composable, enabling AI-driven financial services to operate on-chain with transparency, security, and autonomy.

1. Frontend Layer: DeFi Copilot Interface

This is the primary user interaction layer. Through a chat-style interface, users can query, command, and receive feedback from intelligent agents. Whether executing trades, reviewing analytics, or staking tokens, the Copilot interface ensures a simple, conversational experience.

2. Context Engine: Context Graph Layer

The context engine converts user intent, protocol data, and market information into a structured graph. This shared context allows AI agents to understand, reason, and act based on real-time DeFi states, user goals, and evolving market conditions.

3. Agent Layer: LLM + Execution Logic

LLM-powered agents reside in this layer, parsing user input and translating it into executable instructions. Agents leverage a combination of pre-trained and fine-tuned models, with logic templates designed for DeFi scenarios such as yield farming, token swaps, and governance actions.

4. Smart Contract Layer: Secure Execution Protocol (SEP)

This layer handles all critical on-chain interactions. It ensures that AI agent actions are executed in a secure, auditable, and non-custodial manner. SEP enforces logic rules, handles fund flow, and integrates with DeFi protocols like Uniswap, Aave, and Compound.

5. Data Layer: On-chain + Off-chain Fusion

Real-time data is key to intelligent decision-making. This layer feeds the system with blockchain states, oracle data, token prices, gas fees, and macroeconomic indicators. Both on-chain data (via subgraphs) and off-chain signals (via APIs and oracles) are used to update the context graph and inform LLM reasoning.

Together, these layers form a robust, AI-native infrastructure that turns complex DeFi tasks into intelligent, secure, and user-friendly experiences.

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