Step 2 : Traditional Sportsbooks Are Broken

Step 4 : AI Agent Architecture

Step 5 : Risk Management Framework

Step 6 : Moat: Compounding Advantage

Step 7 : Token Utility: $BOOKIE

Step 8 : Tokenomics

Step 9 : Team

Step 10 : Roadmap (12-Month Horizon)

Step 11 : Final Statement

Bookie AI Whitepaper

Introduction

Bookie AI is the first fully autonomous, AI-powered sportsbook designed to deliver superior odds, radically lower cost structures, and full transparency via blockchain. Traditional sportsbooks rely on expensive human traders, restrict winning players, and operate opaque risk systems that extract value from users. Bookie AI reimagines this model: it’s run entirely by intelligent agents, compounding in capability over time and built to serve the underrepresented 20–30% of bettors — the frustrated edge-seekers.

Problem: Traditional Sportsbooks Are Broken

Anti-Winner Economics

Most sportsbooks are structurally designed to make 95% of their users long-term losers. With average win rates capped below 45% for even moderately skilled players, any upward deviation — smart betting, value hunting, or arbitrage — triggers account limitations, reduced bet sizes, or outright bans.

Cost Barrier to Market Creation

Launching a single market at traditional sportsbooks involves:

Human oddsmakers & traders
Risk desks
Legal/compliance costs
Proprietary infrastructure

This creates ~$100–$500 in operational overhead per market. Niche or longtail markets (trail running, African soccer, etc.) are simply not profitable to launch, creating a massive surface area gap in supply.

The Bookie AI Solution

Bookie AI is built from the ground up to solve these problems using intelligent agents, machine learning, and blockchain infrastructure:

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const factorials = numbers.map(factorial);

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const person = { name: "Alice", age: 30, city: "New York" };

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Agent Architecture

Fully autonomous coordination of odds creation, market risk, and liquidity

Shared Memory Plane

Live data from betting activity, user behavior, and prediction history

Predict-to-Earn UX

Mobile-first app for onboarding and behavioral learning from thousands of users

Decentralized Infra

Built on Base with sub-$1 market deployment cost

Token Economy

$BOOKIE used for staking, rewards, governance, and agent coordination incentives

AI Agent Architecture

Core Agents

Odds Compiler Agent: Scrapes public books (Fanduel, Bet365, etc.), sets initial odds always better than best available competitor.
Risk Manager Agent: Uses real-time exposure, liquidity, and model predictions to rebalance odds, cap bet sizes, or offload risk.
Liquidity Router Agent: Directs capital across markets, ensuring solvency and optimizing liquidity allocation.
Settlement Agent: Executes outcome resolution and bet settlement on-chain.
Compliance Agent: Enforces geographic access, responsible gambling limits, and operational audits.

Agent Coordination

Agents operate on a shared memory plane powered by:

User prediction data from the Predict-to-Earn app (200,000+ bets to date)
ML-derived sharpness scores based on historical performance
Real-time bet flow data, including live odds, volume, and user behavior
Risk engine to assess user-level creditworthiness and edge probability

Agents collaborate in real-time to:

Rebalance books
Adjust odds
Trigger partial/total offloads to external exchanges (e.g. Overtime Markets)

Risk Management Framework

Bookie’s Risk Manager Agent dynamically adjusts odds and bet limits using:

Key Formulas:

Implied Win Probability (Pᵢ):
 Pᵢ = 1 / DecimalOdds


User Sharpness Score (S):
 S = α*(Historical Accuracy) + β*(Avg Odds Won) + γ*(Lookalike ML Classifier Score)


Edge Score (E):
 E = Pᵐ – Pᵢ
 (Where Pᵐ is model-estimated probability; used to identify underpriced risk)


Position Exposure:
 Exposureᵢ = ∑(Betsᵢ * Payoutᵢ) / Total Liquidity


Offload Triggers:


If Exposureᵢ > 10%, offload 50% to external exchange


If Exposureᵢ > 20%, offload 100%

All offloads are executed via API integration with decentralized betting exchanges like Overtime Markets.

Moat: Compounding Advantage

Bankrolled isn’t just building a better sportsbook — it’s building a system to launch and manage any betting market, at scale, with near-zero marginal cost, powered by AI agents that get smarter over time.

We don’t rely on expensive human trading desks or legacy market-making. Instead, each market is created, priced, and risk-managed by autonomous agents with shared memory. This makes Bankrolled the first sportsbook with infinite surface area and exponentially compounding edge.

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function factorial(n) {
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const factorials = numbers.map(factorial);

// Object with person details
const person = { name: "Alice", age: 30, city: "New York" };

// Destructuring object properties
const { name, age } = person;

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console.log(`Factorials: ${factorials.join(", ")}`);
}

Shared Agent Memory

Improves market-making efficiency with every bet

ML-Derived Sharpness + Edge Scores

Identifies high-risk users dynamically

Predict-to-Earn Bet History

Proprietary dataset trains better odds and risk models

Autonomous Coordination

Operates 24/7 with zero human overhead

Sub-$1 Market Deployment Cost

Infinite surface area to launch longtail betting markets

Bookie AI isn’t just a sportsbook — it’s a learning machine.

Token Utility: $BOOKIE

try {
function factorial(n) {
  if (n === 0 || n === 1) return 1;
  return n * factorial(n - 1);
}

// Array of numbers
const numbers = [1, 2, 3, 4, 5];

// Using map to create a new array with factorials
const factorials = numbers.map(factorial);

// Object with person details
const person = { name: "Alice", age: 30, city: "New York" };

// Destructuring object properties
const { name, age } = person;

console.log(`${name} is ${age} years old.`);
console.log(`Factorials: ${factorials.join(", ")}`);
}

Betting Rewards

Users earn $BOOKIE cashback as rebates for betting activity

Staking Rewards

Stake to unlock up to 5x higher rebate tiers

Bet Assistant Access

Use $BOOKIE to access chat-based analytics + auto-betting

Governance

Vote on new sports, agent configs, liquidity allocation

Mindshare Mining

Token grants for ecosystem contributions

Tokenomics

2.1 Anti-Winner Economics

Max Supply: 1,000,000,000Chain: Base

#	Category	% of Supply	Vesting
#1	Public Sale (TGE)	37.5%	100% unlocked at launch
#2	Liquidity Pool	12.5%	Locked and deployed
#3	Early Supporters Airdrop	3.0%	100% 3-month cliff → 100% unlock
#4	Pre-TGE Supporters	2.5%	40% 3-month cliff → 100% unlock60% 3-month cliff → 100% unlock
#5	Treasury	5.0%	50% 3-month cliff → 100% unlock50% 90-day cliff → 100% unlock
#5	Team	10.0%	50% 6-month cliff → 100% unlock50% 1-day cliff → 180-day linear vesting
#5	Mindshare Mining	14.5%	50% 3-month cliff → 100% unlock50% 270-day linear vesting
#5	Reward Pool (Rebates & Staking)	15.0%	50% 3-month cliff → 100% unlock50% 270-day linear vesting

try {
function factorial(n) {
  if (n === 0 || n === 1) return 1;
  return n * factorial(n - 1);
}

// Array of numbers
const numbers = [1, 2, 3, 4, 5];

// Using map to create a new array with factorials
const factorials = numbers.map(factorial);

// Object with person details
const person = { name: "Alice", age: 30, city: "New York" };

// Destructuring object properties
const { name, age } = person;

console.log(`${name} is ${age} years old.`);
console.log(`Factorials: ${factorials.join(", ")}`);
}

Team

The Bookie AI Team is composed of veterans across DeFi, machine learning, and prediction markets:
‍
Founding team includes builders from:‍

RociFi – First undercollateralized lending protocol using ML credit scoring (2021)
Gora Network – Multi-chain decentralized oracle protocol
Bankrolled – Prediction mini-app with 200k+ bet data points

Accomplishments

Raised over $5M in venture and grant capital
Built proprietary ML engines for Web3 risk scoring
Scaled prediction platforms across Telegram, Farcaster, and mobile
Top 10 team at Virtuals Global Hackathon

Roadmap (12-Month Horizon)

try {
function factorial(n) {
  if (n === 0 || n === 1) return 1;
  return n * factorial(n - 1);
}

// Array of numbers
const numbers = [1, 2, 3, 4, 5];

// Using map to create a new array with factorials
const factorials = numbers.map(factorial);

// Object with person details
const person = { name: "Alice", age: 30, city: "New York" };

// Destructuring object properties
const { name, age } = person;

console.log(`${name} is ${age} years old.`);
console.log(`Factorials: ${factorials.join(", ")}`);
}

Q2 2025

Launch on Base Sepolia Testnet - Incentivized Testnet to refine offering - Deploy Farcaster mini-app for mobile-friendly access - Launch of Mindshare Mining program

Q3 2025

Mainnet Launch on Base - Staking portal launched - Stake-to-Earn campaign - Support for longtail sports and exotic markets

Q4 2025

LLM Betting Assistant Beta (stakers only) - Advanced prop market support - New data tools: edge visualizations, bankroll analysis, sport-specific agents - Begin cross-chain expansion (Solana, Arbitrum)