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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