For the complete documentation index, see llms.txt. This page is also available as Markdown.

System Overview

Quack AI’s AI Autonomy Stack is designed to unify intelligence, execution, and compliance under one programmable framework. It transforms blockchain coordination from static, human-dependent workflows into an active network of agents, policies, and verifiable actions.

At its core, the system consists of three functional layers:

  1. Governance Intelligence — the decision-making layer powered by AI agents that analyze data, summarize proposals, and manage treasury logic.

  2. Q402 Execution Fabric — Quack AI’s gasless payment protocol on EIP-7702 + EIP-712, handling policy-aware payments and actions through verifiable signatures across 7 EVM mainnets.

  3. RWA Integration Layer — the compliance layer that connects tokenized assets, regulatory logic, and off-chain data feeds to on-chain governance.

Together, they form a modular autonomy engine that can be deployed by DAOs, institutions, or protocols across multiple EVM-compatible networks.

High-Level Architecture

Layer
Function
Technology
Outcome

Governance Intelligence

Decision-making

AI models, delegation logic, governance contracts

Proposals, scoring, and intent capture

Q402 Execution Fabric

Transaction processing

EIP-7702 + EIP-712 + Facilitator network

Gasless, auditable, policy-aware transactions across 7 EVM mainnets

RWA Integration

Compliance and verification

KYC modules, NAV/PoR data bridges

Real-world asset governance with audit trails

Policy Engine

Shared enforcement logic

Smart contracts and rule templates

Cross-layer compliance and authorization checks

  • Composable — Each layer operates independently but interconnects seamlessly.

  • Chain-Agnostic — Live across 7 EVM mainnets through Q402: Ethereum, BNB Chain, Avalanche, X Layer, Mantle, Stable, Injective EVM.

  • Compliance-Ready — Every transaction, proposal, and execution can be audited or restricted by rule sets.

  • Agent-Native — All actions can be delegated to or executed by AI agents using programmable logic.

In short, the architecture acts as an autonomous operating system for the Agent Economy — an environment where code, capital, and compliance act in sync.

Last updated