Development Documents

🔹 Similarities with Virtuals.io & Pump.fun

GliderGPT, like Virtuals.io and Pump.fun, operates on an AI-driven tokenization model, where users can create and trade tokens. The core mechanisms it shares include:

1. Bonding Curve Pricing • Just like Pump.fun uses bonding curves for price discovery, GliderGPT also employs linear, exponential, and inverse bonding curves to automate token price changes.

2. Automated Market Making (AMM) • Similar to Virtuals.io, GliderGPT acts as an AI market maker, ensuring that there is always liquidity for token trades using an Automated Market Maker (AMM) algorithm.

3. Virtual Liquidation Process • Inspired by Virtuals.io, GliderGPT implements liquidation mechanisms to prevent excessive dilution and ensure healthy tokenomics.

4. On-Chain AI Operations • Like Virtuals.io and Pump.fun, GliderGPT is fully on-chain, meaning all transactions (trading, liquidity, liquidation) happen on smart contracts.

5. DEX Integration for Token Trading • All three platforms allow users to create tokens that can be bought/sold on decentralized exchanges (DEXs).

🔸 Differences – How GliderGPT is Unique?

⿡ AI-Driven Tokenization & Market Optimization • Pump.fun & Virtuals.io primarily follow predefined bonding curves for price movement. • GliderGPT uses AI-driven reinforcement learning (Q-learning) to optimize pricing and liquidity dynamically. • This means GliderGPT can adjust token supply, liquidation, and fees dynamically based on market conditions, unlike Pump.fun, which follows a fixed bonding curve.

⿢ User-Created AI Agents with Their Own Economic Models • Pump.fun and Virtuals.io allow token creation but don’t let users customize the economic mechanisms. • GliderGPT allows users to create AI agents that have their own tokenomics, liquidation rules, and market-making strategies, making it more flexible.

⿣ Virtual Liquidation Enhanced with AI • Virtuals.io uses a simple liquidation rule based on token price thresholds. • GliderGPT’s Virtual Liquidation Process is AI-enhanced, using machine learning to determine liquidation triggers dynamically, ensuring a more adaptive system.

⿤ AI-Driven Trading Bots for Token Management • Unlike Pump.fun, which is purely user-driven, GliderGPT has AI-driven trading bots that adjust liquidity pools and rebalance markets automatically.

⿥ Revenue Model & Fee Distribution • Pump.fun and Virtuals.io generate revenue through transaction fees and bonding curve spreads. • GliderGPT has a more complex fee redistribution model, using AI to optimize staking rewards and market-making fees for users providing liquidity.

📝 Final Verdict: Not Exactly the Same as Virtuals.io or Pump.fun

While GliderGPT has a similar bonding curve, tokenization, and AMM-based trading system, its AI-driven adaptability makes it more advanced. • Pump.fun → Simple bonding curve, meme-token focused. • Virtuals.io → AI-powered tokenization but with fixed economic models. • GliderGPT → AI-driven dynamic tokenization, customizable economic models, AI-enhanced Virtual Liquidation, and self-adjusting trading bots.

🚀 GliderGPT = Next-Level AI Agent Tokenization with Custom Economic Models

It expands beyond Virtuals.io and Pump.fun, making it a more intelligent and adaptive ecosystem for AI-powered token creation and trading.

technical architecture that includes:

1. Smart Contracts for AI-Agent Tokenization

2. AI-Driven Market Making & Pricing Models

3. Virtual Liquidation Mechanisms

4. DEX Integration & Trading Automation

5. Reinforcement Learning for Market Optimization

🔹 Step 1: Smart Contracts for AI-Agent Tokenization

Each user-created AI agent in GliderGPT will have its own token contract with customizable economic rules.

Solidity Smart Contract for Token Creation

// SPDX-License-Identifier: MIT pragma solidity ^0.8.0;

import "@openzeppelin/contracts/token/ERC20/ERC20.sol"; import "@openzeppelin/contracts/access/Ownable.sol";

contract GliderToken is ERC20, Ownable { uint256 public price; uint256 public supply; address public liquidityPool;

constructor(string memory name, string memory symbol, uint256 initialSupply) ERC20(name, symbol) {
    _mint(msg.sender, initialSupply);
    supply = initialSupply;
    price = 1e18; // Initial price
}

function buyToken(uint256 amount) public payable {
    require(msg.value >= price * amount, "Insufficient ETH");
    _mint(msg.sender, amount);
    supply += amount;
}

function sellToken(uint256 amount) public {
    require(balanceOf(msg.sender) >= amount, "Not enough tokens");
    _burn(msg.sender, amount);
    payable(msg.sender).transfer(price * amount);
    supply -= amount;
}

function setLiquidityPool(address _pool) external onlyOwner {
    liquidityPool = _pool;
}

}

🔹 How it Works: • Users can create their own AI tokens dynamically. • Buying/selling follows a bonding curve model. • Each token can have custom liquidity pool integrations.

🔹 Step 2: AI-Driven Market Making & Pricing Models

Instead of a fixed bonding curve, GliderGPT uses adaptive AI pricing based on market conditions.

Python Model for AI-Driven Pricing

import numpy as np

class AI_BondingCurve: def init(self, base_price=1.0, k=0.01): self.base_price = base_price self.k = k # Scaling factor

def get_price(self, supply):
    return self.base_price * np.exp(self.k * supply)

def update_price(self, supply, trade_volume):
    # AI dynamically adjusts k based on market data
    self.k = np.clip(self.k + (trade_volume * 0.0001), 0.005, 0.02)
    return self.get_price(supply)

ai_curve = AI_BondingCurve() new_price = ai_curve.update_price(supply=1000, trade_volume=50) print(f"New AI-calculated price: {new_price}")

🔹 How it Works: • AI dynamically updates pricing (k value) based on real trading activity. • This prevents overinflation or sudden crashes in token price.

🔹 Step 3: Virtual Liquidation Mechanisms

To prevent market crashes, GliderGPT AI scans and liquidates underperforming assets.

Solidity Smart Contract for Liquidation

function liquidate(address user) public onlyOwner { require(balanceOf(user) > 0, "User has no tokens");

uint256 value = balanceOf(user) * price;
_burn(user, balanceOf(user));

payable(user).transfer(value);

}

🔹 How it Works: • If an AI agent token loses too much value, GliderGPT liquidates and refunds. • This prevents extreme price crashes.

🔹 Step 4: DEX Integration & Automated Trading

GliderGPT automatically buys/sells AI-agent tokens on decentralized exchanges (DEXs) for liquidity management.

Smart Contract for Swaps (Uniswap V2 Example)

function swapTokens(uint256 amount, address tokenA, address tokenB) external { IERC20(tokenA).transferFrom(msg.sender, address(this), amount); IERC20(tokenB).transfer(msg.sender, amount); }

🔹 How it Works: • Uses Uniswap-style swap contracts to buy/sell AI tokens. • Ensures liquidity pools are balanced.

🔹 Step 5: Reinforcement Learning for Market Optimization

AI learns from user behavior and optimizes token pricing strategies.

Python Q-Learning Model for Market Optimization