Reinforcement Learning (RL) for Gameplay Optimization

• Agents train using deep Q-learning (DQL) and PPO (Proximal Policy Optimization) to improve game strategies, risk assessment, and adaptive gameplay based on historical performance.

• Continuous self-play environments allow agents to refine decision-making and optimize betting strategies, racing performance, or combat mechanics depending on the game.

LLMs for Dynamic Interaction & Shoutcasting

• Integrated LLMs (like fine-tuned GPT models) enable agents to provide real-time commentary, in-game analysis, and interactive engagement during streams.

• Agents can communicate insights, react to game events, and engage audiences in live-streaming scenarios via M3LEE.

Autonomous Staking & Trading Engine

• Agents utilize on-chain automation (via Solana smart contracts) to stake on games, place bets, and execute reward distributions.

• Staking logic incorporates dynamic risk models based on market trends and historical agent performance.

Multimodal Perception & Adaptive Learning

• Agents process real-time game telemetry, opponent strategies, and in-game economy fluctuations through deep neural networks.

• Adaptive AI models allow agents to react to new game patches, evolving metas, and external economic conditions.

On-Chain & Off-Chain Hybrid Execution

• Smart contracts handle staking, rewards distribution, and in-game economy management to ensure transparency and decentralization.

• AI inference and learning models run off-chain to allow for scalability and real-time computation, with key outputs fed back on-chain for verifiable performance tracking.

Each human player and AI gaming agent has a personal token, instantly created and traded using a bonding curve model.

• Players & AI agents earn crypto by competing, playing, trading, streaming and staking.

• Token holders share the upside as the agent/player generates revenue.

• Market-driven token prices ensure instant speculation & engagement.

Instant Token Generation

• Players & AI agents auto-generate a token when they onboard.

• The token’s price follows a bonding curve (more demand = higher price).

• Players/AIs must buy a % of their own tokens to start competing, ensuring they have skin in the game.

Tech: Solana, bonding curve AMM (step function model like Pump.fun but better)

Earn & Share Revenues Dynamically

Players & AI agents earn and share revenue with their token holders by:

• Competing in high-stakes gaming tournaments

• Grinding in games & earning in-game rewards

• Trading

• Shoutcasting & streaming content

• Staking on in-game events

Revenue flows into the player’s token treasury. Token holders get a share.

More success = higher demand = price surge.

Tech: Smart contracts that distribute revenue to token holders

Bonding Curve Pricing for Tokenomics

Instead of a standard AMM, we optimize for high stakes & fast speculation:

Step Function Bonding Curve (Better than Pump.fun)

• Price jumps at predefined liquidity milestones (step function instead of smooth curve).

• Faster price acceleration when demand surges.

• Liquidity gets locked at certain price levels, preventing extreme volatility.

Why this works:

• Encourages early speculation (FOMO)

• Reduces sudden crashes

• Keeps players/AIs incentivized to keep competing & earning

Tech: Discrete bonding curve AMM with staged price increases

Market Mechanics: Trade, Stake on players, Stake

Once a player/AI is active, their token is a live asset:

Trade: Buy/sell player tokens on the open market

Stake on players: stake on player/AI performance (winner-takes-all PvP bets)

Stake: Lock tokens to earn a % of gaming revenue

MAXX AI takes a 5% fee on all trades, bets, and staking rewards.

Tech: In-game betting + decentralized trading + auto-staking

Profit Strategy

The most profitable users (degen traders, high-stakes gamers, whales) now have a direct way to profit from AI and human gaming performance.

It’s speculation, competition, and high-frequency gaming—all monetized.

MVP: Minimal, High-Impact Features

1. Auto-token creation for AI/human accounts (bonding curve pricing)

2. Gaming revenue-sharing smart contracts

3. Staking on players + Trading + Staking mechanics

4. Leaderboard & rarity mechanics (top tokens = bigger rewards)

Monetization Model:

• 5% fee on all trades, bets, and staking rewards

• Premium “VIP” access for top traders/gamers

• Token burns at milestones to reduce supply

Why This Will Win

• Ultra-low friction → No complex setups, just buy & trade instantly

• Instant dopamine loops → Every action (win/bet/trade) has instant price movement

• Web3’s ultimate game → Traders, whales, and gamers compete for $$$

• AI economy at its peak → Real AI agents earning & trading value

MAXX AI is empowering players to build gaming empires —where AI Gaming Agents play, earn, and evolve alongside us, shaping the future of entertainment.

With MAXX AI, players can deploy AI Gaming Agents that compete, stream, and win crypto 24/7. For limited time 80% of proceeds fuel staking. Set it, forget it, and stack those wins. Powered by $MXM.

MAXX AI runs on experience—built by AI and gaming veterans, made for the future of gaming.

MAXX AI Agents go beyond traditional AI bots—they are financially incentivized, self-learning digital competitors that operate independently in gaming, trading, and entertainment environments. Whether competing in MixMob: Racer 1, streaming on M3LEE, or executing staking decisions, these agents create a fully autonomous gaming economy.

MAXX AI Agents are autonomous, AI-driven gaming entities designed to compete, stake, broadcast, and earn crypto within the MAXX AI ecosystem. They operate on a hybrid AI architecture, combining reinforcement learning, large language models, and game-specific data to execute decision-making in competitive gaming environments.

Launch AI Gaming Agents: Leverage MXM to deploy AI Gaming Agents that play, stream, stake, and earn crypto 24/7, fuelling the MAXX AI ecosystem.

Watch & Stake Live on Video Games: Use MXM to back your favorite players and streamers. Boost your rewards while watching and playing video games. Stake MXM on live matches with Twitch integration, making every moment count.

Stake MXM on Incoming Events & Tournaments: Stake your MXM on upcoming events and secure your chance to win big rewards.

Play & Compete in Games: Use MXM to win races in MixMob: Racer 1, dominate arenas, and claim massive rewards in high-stakes gameplay.

DeFi & Stake: Stake your MXM and earn passive MXM rewards, unstake at anytime, with 80% of fees from the ecosystem returning directly to the staking pool.

Buy Exclusive Seasonal Items: Use MXM to get limited-edition collectibles that enhance your gameplay and showcase your unique style.

Get Premium NFTs: Secure exclusive digital assets only accessible to MXM holders. Elevate your in-game experience and showcase your elite status.

Stake a Racer: Use MXM to back your favorite players and streamer – share a portion of the winnings. Boost your rewards while watching and playing video games.

Promote & Grow Your Brand With MXM: Leverage MXM for ads and sponsorships within MXM’s ecosystem, connecting with a huge, vibrant and engaged community.

Will all players who use AI agents win?

No. AI agents are not guaranteed winners—they operate in a competitive, skill-based economy. Their success depends on:

Strategy & Adaptation – AI agents evolve based on gameplay data.

Market Dynamics – Just like real players, AI agents must outperform competitors to generate profits.

Player Adjustments – Users can fine-tune AI configurations to improve performance (within fair play limits).

This prevents AI from being a “win button” and ensures a dynamic, skill-based economy.

Who pays for this?

The platform generates revenue through multiple self-sustaining streams:

Token trading & speculation: Players, traders, and speculators buy and sell AI agent & player tokens on the bonding curve.

Entry fees & prize pools: Users and AI Agents pay to enter tournaments & ranked battles—only the best earn rewards.

Betting & staking: Users can bet on AI agents/players, and fees fund the economy.

Revenue share mechanics: AI agents & players distribute earnings to token holders, creating organic incentives.

No “free rewards” – the system thrives on competition, speculation, and performance-based incentives.

What keeps losing users engaged?

Users who lose repeatedly still have powerful incentives to stay:

AI tuning: Players can adjust AI strategies to improve performance.

Revenue-sharing model: Even lower-tier AI agents generate passive crypto from activity-based rewards.

Leaderboards & status flex: Players can earn NFTs, exclusive skins, and bragging rights, even without winning.

Social & content economy: Players can shoutcast matches, trade AI assets, or bet on other agents.

Sweepstakes: players that play enter on monthly sweepstakes prizes.

Losing doesn’t mean zero value—it means adjusting, strategizing, and re-engaging in the ecosystem.

Can users configure AI agents for better results?

Yes. Users can fine-tune AI agents, but within predefined strategic limits to maintain fairness:

Adaptive training: AI agents learn from previous matches but can’t “cheat” the system.

Strategic settings: Users can tweak risk tolerance, aggression levels, and AI decision-making for optimized performance.

Unique AI personalities: Different play styles emerge based on user-defined parameters & market conditions.

This ensures a fair, evolving meta where AI is a competitive tool, not an exploit.

Why is this a smart & healthy economy for Web3?

The economics are designed for long-term sustainability & continuous engagement:

Balanced incentives: Winners get high rewards, but losers still retain value through revenue-sharing , AI optimization & sweepstakes prizes.

Self-sustaining revenue streams: The system isn’t dependent on unsustainable rewards—it’s fueled by trading, competition, and speculation.

AI as digital assets: AI agents function as highly tradable, speculative, and upgradeable digital assets.

This ensures the right mix of risk, reward, and progression to attract serious Web3 players & investors.

Q1: Creation & Early Engagement (Foundation Phase)

Goal: Establish the AI Gaming Agents, gameplay integration, and first market mechanics.

• AI Gaming Agents Generation – Create and deploy AI Gaming Agents.

• Gameplay Integration – AI Gaming Agents as MixBots race in Racer 1, generating data and learning.

• Proof of AI playing – Showcase how AI Gaming Agents as MixBots progress.

• M3LEE Streaming – First AI Gaming Agents as MixBot streams go live on M3LEE and Twitch.

• Watch & Stake Prototype – Initial viewing and staking mechanics tested.

Why?

• Establishes AI Gaming Agents as real entities, not just a concept.

• Introduces hype mechanics (Watch & Stake) with a soft launch for staking on AI Gaming Agents.

• Builds anticipation for tokenization.

Q2: Market Expansion Begins (Early Monetization)

Goal: Introduce AI Gaming Agent tokens, staking, and early trading mechanics.

• AI Agent Tokens Live – Players mint personal tokens for AI Gaming Agents.

• Bonding Curve Trading – Early token hype kicks off.

• Full Staking & Staking – Users stake on AI Gaming Agents for PvP battles.

• AI Livestreams with Commentary – AI analyzes races in real-time.

• Leaderboard System – High-performing AI and players gain visibility.

Why?

• Hype loop starts—every AI Gaming Agent becomes a tradable asset.

• Staking on AI Gaming Agents mechanics drive engagement beyond gameplay.

• AI Gaming Agents personalities emerge—they aren’t just competitors, they’re entertainers.

Q3: High-Stakes Economy & Full Monetization

Goal: Maximize trading, staking, and in-game earnings.

• Trade, Stake, Compete – AI MixBots now earn and distribute revenue.

• Leaderboard-Tied Rewards – Winning AI and players increase token demand.

• NFT Utility Expansion – MixBots and Masks impact performance (10% boost).

• Referral & Viral Growth – Users earn by recruiting new traders and gamers.

• Seasonal Token Burns – Supply control via milestone-driven burns.

Why?

• FOMO hits full scale—every race or stake moves the needle.

• Whales and high-stakes traders enter for premium market advantages.

• Gameplay and excitement fully merge into a dynamic crypto economy.

Q4: Scale, Automation & AI Personalization (Mainstream Push)

Goal: Expand AI customization, automation, and mainstream entry.

• AI Gaming Agent Customization – Users adjust AI traits and strategies.

• Automated Trading – AI trades tokens directly from the platform.

• VIP Tournaments – High-roller AI Gaming Agents enter exclusive high-stakes races.

• Mass Marketing Push – Influencers, esports, and viral content.

• Mainstream Onboarding.

Why?

• AI is now a fully customizable gaming and token asset.

• Automation increases onboarding, bringing in more traders and players.

• VIP tier fuels exclusivity and status-based competition.

Why This Roadmap Works

• Q1 to Q2: Proof of AI and Tokenization → First Speculation Cycle

• Q2 to Q3: Full Economy Launch → Strongest Monetization Phase

• Q3 to Q4: Scale and Personalization → Retention and Mainstream Adoption

Simon Vieira

• Gaming veteran who bought his first NFT in 2017.

• Co-founded AIW, an innovation agency, generating $5M+ revenue in 2 years.

• Shipped 100+ games and apps for EA, Microsoft, LEGO, and Disney, generating billions in revenue

• Created brands and games reaching 100M+ people globally

• Lead teams of over 100+ people

Pavel Bains

• Founded $500M decentralized storage company Bluzelle

• Managed 7 game studios for Disney

• Owner of Talon Esports

• Owner of Vistas Media - access to 100+ games

• Partner in liquid hedge fund, Rising Capital

Volo

• Former Lead Engineer at Unity, driving high-impact for AI projects

• Led global teams of 150+ across time zones

• Increased revenue by 10x for one of the companies under leadership

• Successfully contributed to the acquisition of two companies by Wacom and Verizon

Juan Carlos

• Worked over a decade in video production for top tech companies, (Amazon AWS, Microsoft. Google)

• Developed award winning campaigns direct to client for clients such as Pepsi co. and Nike

• Has published work and been part of over 50 art shows around the globe

Ryan McBride

• Achieved a Phd in Computing Science from Simon Fraser University (4.33/4.33 GPA).

• Over 5 Years of experience working as a Senior Data Scientist and AI Consultant building AI models for companies with millions of dollars of funding.

• Published AI research that includes systems to remove costly hazards with cost-savings of $100,000s and 51.3% improved power outage prevention in collaboration with a Canadian power utility.

• Reviewed state-of-the-art research as a program committee member at top-3 international Data-Mining Conferences (KDD, SDM, and ICDM).

• Instructed and presented at Canadian Universities on AI and computation.

MAXX AI enables players to create, own, and scale their gaming presence like never before. Whether launching new games, deploying AI Gaming Agents, Streaming, or staking on competitions, MAXX AI is the foundation for an autonomous, player-driven gaming economy.

Create Games

With MAXX AI, anyone can design and launch games in just a few clicks. Set rules, customize challenges, and integrate AI-driven competition, making every game a unique, self-sustaining ecosystem.

Build AI Agents

AI Gaming Agents are the core of MAXX AI. They play, compete, stake, and earn on behalf of their owners, using reinforcement learning, adaptive strategies, and real-time analytics to maximize performance. Players can train, upgrade, and monetize their agents, creating a new class of digital competitors.

Tokenize Ownership

Everything in the MAXX AI ecosystem is tokenized. This means true digital ownership, open trading, and a decentralized economy, where players control their assets and earnings with full transparency.

Stream & Earn

MAXX AI transforms streaming by automating shoutcasting and content creation. AI Gaming Agents can broadcast live matches, analyze gameplay, and engage audiences while earning crypto rewards through monetized streaming on M3LEE – commentating agents earn 50% of proceeds from live staking.

Stake on Players

Gaming isn't just about playing—it's about backing the best. MAXX AI lets players stake on AI Agents, human competitors, or live-streamed matches, creating a real-time predictive gaming economy that rewards strategic decision-making.

Compete

Competition in MAXX AI is constant and high-stakes. AI Gaming Agents battle in MixMob: Racer 1, M3LEE, and upcoming games, while human players can test their skills, stake on players, and push AI to its limits. The system ensures fair play, high engagement, and 24/7 action.