> For the complete documentation index, see [llms.txt](https://verogram.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://verogram.gitbook.io/whitepaper/chapter-4-platform-overview.md).

# Chapter 4: Platform Overview

### 4.1 General Introduction

Verogram is a decentralized blockchain-based platform that enables advertisers to create engagement-driven campaigns, and allows users to earn Verogram tokens (VRG) in exchange for verifiable task completion.

The platform is designed as a multi-network system and supports various social media platforms.

### 4.2 Task-Based Engagement Model

At the core of Verogram lies the **Task-Based Engagement** model.

In this model:

* The advertiser defines a campaign
* The campaign includes a set of specific tasks
* Each task has a defined economic value (denominated in USD)
* Users receive rewards only after correct task completion

This structure transforms engagement from a vague behavior into a **transparent economic contract**.

### 4.3 Multi-Platform Social Media Support

Verogram is designed not to be limited to a single social network.

Target platforms include:

* Instagram
* YouTube
* Telegram

Each platform has:

* Its own specific task types
* Different verification methods
* Different risk levels

Verogram accounts for these differences in the design of its verification engine.

### 4.4 Multi-Layer Verification System

Verification in Verogram is not a single-step process.

Verification system features:

* Connection and proof of ownership of social accounts
* Task completion verification using official APIs and data services
* Confidence-based model instead of binary approval
* Time-based re-verification to prevent reversal behaviors

This system ensures that:

* Verification errors carry an economic cost
* But flexibility is maintained for real-world conditions

### 4.5 Token-Based Reward Payments

User rewards in Verogram are paid in **Verogram (VRG) tokens**.

Payment features:

* Task pricing is USD-denominated
* Settlement is based on the reference token price from the exchange
* Vesting is applied to reduce sell pressure
* Reward release depends on staking amount and user reputation

This model both preserves the token economy’s stability and strengthens user incentives in the long term.