# Overview of Technology Structure

### 2. Overview of Technology Structure — "Autonomous Trust Architecture Centered on Soft DePIN"

WGA's technology breaks away from the "physical infrastructure-oriented" structure of existing DePIN and is implemented as a soft DePIN-based hybrid network that combines AI, Cloud, and Blockchain.

Below is an in-depth technical configuration of this structure.

#### (1) Proof-Oriented Data Pipeline

Data flows through the following multi-level pipeline in the order of AI → Proof → Soft Node → Token → Burn.

| Stage              | Technical Component                  | Function Description                                                     |
| ------------------ | ------------------------------------ | ------------------------------------------------------------------------ |
| ① Collection       | SDK, Pixel, API                      | Collects Web2 and Web3 events in real time                               |
| ② Validation       | AI Policy Engine                     | Detects fraud, analyzes participation quality, and assigns a Trust Score |
| ③ Signing          | Proof Generator                      | Signs AI verification results as PoE Tokens                              |
| ④ Anchoring        | L2 Blockchain (opBNB, Arbitrum etc,) | Stores data on-chain in Merkle Root format                               |
| ⑤ Distribution     | Soft DePIN Nodes                     | Stores Clean Datasets and provides feedback for AI retraining            |
| ⑥ Incentive & Burn | Token Contract                       | Automatically executes XYZ / XYZD reward distribution and burn triggers  |

This architecture functions not as a simple data collection platform, but as a fully autonomous AI system that automatically evaluates, proves, preserves, and rewards data integrity.

#### (2) AI Policy Engine – The Central Cognitive Layer of Trust

The AI Policy Engine does more than just analyze data it operates as an automated mechanism that governs policy, reward, and burn cycles.

Detailed Components:

* **Fraud Detection Network**

: Identifies abnormal traffic, duplicate participation, and bot activity patterns (Machine Learning–based Anomaly Detection)

* **Data Trust Scoring Module**

: AI assigns a trust score to each Proof event (graded on a 0–100 scale)

* **Adaptive Token Controller (ATC)**

: Dynamically adjusts the following in real time based on trust score and participation volume:

* Reward Rate
* Burn Ratio
* Automatically adjust Inflation Control<br>
* **ROI Forecasting Model**

: AI predicts budget efficiency based on past data patterns (Predictive Simulation)

Predicts budget efficiency through AI-driven predictive simulation based on historical data patterns

#### (3) Soft DePIN Network – A Decentralized Node Architecture Without Physical Infrastructure

Existing DePIN relied on physical resources such as GPUs, sensors, and storage equipment, but WGA virtualizes them and adopts a structure in which anyone can become a node with only AI and data resources.

**Soft DePIN Node Composition:**

| **Node Type** | **Primary Role**                 | **Technical Core**                                                             |
| ------------- | -------------------------------- | ------------------------------------------------------------------------------ |
| Data Node     | Data collection and encryption   | Converts Web2 SDK / Web3 events into Proof Pre-Tokens                          |
| AI Node       | Data refinement and validation   | Performs fraud detection, assigns trust scores, and generates Clean Datasets   |
| Proof Node    | Blockchain anchoring             | Creates PoE Signatures and uploads them to Layer 2 chains                      |
| Storage Node  | Data preservation and retraining | Provides distributed storage via IPFS + Cloud, enabling AI retraining feedback |

All Soft Nodes operate under the policy directives of the AI Controller Layer, earning utility rewards based on their Proof verification frequency and storage contribution.

Soft DePIN is not a network that merely stores data, it is a network that distributes and preserves trust.

#### (4) Cross-Channel Oracle Layer – Bridging the Data Gap Between Web2 and Web3

The Oracle Layer (CCO) of WGA automatically corrects inconsistencies between Web2 and Web3 data.

* Web2 events (API, SDK logs) are recorded based on a centralized timestamp,
* while Web3 transactions follow the blockchain timestamp.

AI automatically detects time drift (timestamp discrepancies) between these two temporal dimensions and normalizes them into a single unified Proof Event through a process of Cross-Verification.

During this process, the Oracle performs the following functions.

* **Data Equivalence Mapping**

: Matches Web2 and Web3 data of the same user or activity

* **Off-chain/On-chain Signature Linking**

: Proof hash synchronization

* **Market Oracle Integration**

: Reflects XYZ price, Burn Ratio, and Reward Index in real time

Oracle Layer eventually works as an AI-Driven Proof Unification System, ensuring data consistency and real-time value.


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