5.1 Q1 - Q2 2025

✅ AI training & monster generation model optimization

✅ Solana NFT minting & trading functionality launch

✅ Initial community Beta testing

✅ $AIMON token presale & ecosystem partnerships

5.1.1 AI Training & Monster Generation Model Optimization

  • Develop and fine-tune advanced neural networks for monster generation:

  • Implement a hybrid architecture combining GANs and Transformer models for enhanced creativity and coherence in monster designs.

  • Optimize the AI model for real-time generation, targeting sub-second response times for basic monsters and under 5 seconds for complex, high-resolution designs.

  • Enhance the multi-modal AI training framework:

  • Integrate text-to-image, image-to-3D, and physics-based simulations into a unified pipeline.

  • Develop a custom dataset of over 1 million annotated monster designs, encompassing various styles, anatomies, and attributes.

Example of optimized monster generation API:

from aimonster import AIMonsterGenerator, MonsterAttributes

async def generate_optimized_monster(prompt: str, attributes: MonsterAttributes):
    generator = AIMonsterGenerator()
    monster = await generator.create_monster(
        prompt=prompt,
        attributes=attributes,
        resolution="4k",
        format="3d_model"
    )
    return monster

# Usage
attributes = MonsterAttributes(
    size="large",
    environment="aquatic",
    special_ability="bioluminescence"
)
monster = await generate_optimized_monster(
    "A deep-sea leviathan with crystalline scales",
    attributes
)
print(f"Generated monster: {monster.id}")
print(f"Generation time: {monster.generation_time_ms}ms")

5.1.2 Solana NFT Minting & Trading Functionality Launch

  • Develop smart contracts for minting AI-generated monsters as NFTs on Solana:

  • Implement on-chain metadata storage for essential monster attributes.

  • Create an upgradable NFT structure to allow for monster evolution.

  • Build a decentralized marketplace for trading AI Monster NFTs:

  • Implement atomic swaps for secure peer-to-peer trading.

  • Develop a reputation system to enhance trust in the marketplace.

Example of NFT minting and marketplace interaction:

5.1.3 Initial Community Beta Testing

  • Launch a closed beta for early adopters and community members:

  • Implement a feedback system within the platform for real-time user input.

  • Conduct weekly community calls to gather qualitative feedback and discuss platform improvements.

  • Develop and release a beta version of the AI Monster mobile app:

  • Include basic monster generation and viewing capabilities.

  • Implement AR functionality for visualizing monsters in the real world.

Example of AR visualization in the mobile app:

5.1.4 $AIMON Token Presale & Ecosystem Partnerships

  • Conduct a private sale of $AIMON tokens to strategic partners and early investors:

  • Implement a vesting schedule to ensure long-term alignment of interests.

  • Develop a staking mechanism for early participants to earn additional rewards.

  • Establish partnerships with key players in the blockchain gaming and AI industries:

  • Integrate with popular GameFi platforms to expand the reach of AI Monsters.

  • Collaborate with AI research institutions to continually improve our monster generation models.

Example of $AIMON token staking contract:

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