AAA GitBook
  • 🤝Welcome to AAA “C(H+A)RM”:
  • 1. Who We Are
  • 1.1 From 2015 to 2025
  • 1.2. History of AI CRM “C(H+A)RM” creation:
  • 1.3. The Why, The How
  • 1.4. Palo Alto AI WEB-3 Research Lab
  • 1.5. How Our AI Orchestration C(H+A)RM Chooses the Strongest Projects
  • 1.6. Platform Functionality. Orchestration CRM "C(H+A)RM" for AI-Agents
  • 1.7. Key Benefits of AI Agents
  • 1.8. How We Make Money
  • 1.9 Types of Peers
  • 1.10AI Agents Orchestration C(H+A)RM Startup Perks
  • 1.11. BACKERS + PARTNERS
  • 1.12. TradeMarks
  • 1.13. PIVOTs / "The only constant in life is CHANGES"Page
  • 1.15. Disclaimer
  • 2. WHY AI
  • 2.1. LLMs vs AI Agents
  • 2.2. Key Differences Between LLMs and AI Agents
  • 2.3. Energy-Efficient AI Agents Powered by Distilled LLMs
  • 2.4. Swarm Orchestration: AI Agents at Scale
  • 2.5. Decentralized Physical Infrastructure (DePIN) & Zero-Knowledge AI
  • 3. PLATFORM FUNCTIONALITY (The Ecosystem)
  • 3.1. Technology and Infrastructure
  • 3.2. ESCROW: VC’s Funds Escrow and Distribution to ProjectsPage
  • 3.3. Marketplace for AI Agents
  • 3.4. AI-Agent Creation Tools & Templates
  • 3.5. AI-Agent Labor Exchange
  • 3.6. Node Sales & Staking for AI Agents
  • 3.7. Reputation System: Trust & Accountability for AI Agents
  • 3.8. User Lifecycle in Our Ecosystem
  • 3.9. UGC: A User-Generated Content Platform for AI Agents
  • 3.10. AI-Agents + Crypto => onchain AI Agents
  • 4. What AI Agents you can launch with us
  • 4.1. DefAI = DeFi + AI Agents
  • 4.2. AI Agents for Blockchain Security
  • 4.3.AI Agents for "NO CODE dApps"
  • 4.4. Legal & Compliance AI Agents
  • 4.5. AI Agents for ESG & Sustainability
  • 4.6. More AI Agents for Web3
  • 5. Tokenomics, Token Sale, Nodes sale
  • 5.1. FAIR LAUNCH
  • 5.2. For VCs: Token Buy
  • 5.3. For VCs: Equity Sale
  • 5.4. Designed for Tier-1 CEXs
  • 5.5. $AAA Token Utility
  • 5.6. TGE — Q3
  • 5.7. Tokenomics
  • 5.8. Diamond Hands Distribution Program
  • 5.9. Revenue Share, Token Burning & Buyback Program
  • 5.10. Inflation & Deflation
  • 5.11. Sustainable Economy for Token Growth
  • 5.12. Monetization
  • 5.13. AI Agents as NFTs: Ownership, Privacy & Profit Sharing
  • 6. Roadmap - “This is a Way”
  • 6.1.âś… 2022 - Research, Networking & Early Development
  • 6.2.âś… 2023 - Building the Foundations
  • 6.3.âś… 2024 - AI Launchpad Development & Product Infrastructure
  • 6.4.🔄 2025 - Official AI Launchpad & Full Ecosystem Growth
  • 6.5.🔲 2026 - Scaling, Adoption & Enterprise AI Deployment
  • 6.6. Roadmap (Q-based)
  • 7. The Team, The DAO, The Roles
  • 7.1. Сustodians \ Treasury Co-Signers
  • 7.2. Co-founder
  • 7.3. Advisor for the Laboratory
  • 7.4. Mentor for Projects
  • 7.5. Judge at DemoDays
  • 7.6. Syndicate Member
  • 7.7 Team
  • 8. Frequently Asked Questions
  • 9. Official Links
  • 10. References that sparked our inspiration
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3.4. AI-Agent Creation Tools & Templates

Previous3.3. Marketplace for AI AgentsNext3.5. AI-Agent Labor Exchange

Last updated 6 days ago

3.4.1. Overview

Not everyone is a machine learning engineer—but with our AI-agent creation tools, anyone can build, customize, and launch their own AI agents without deep technical expertise.

“The AI-first economy won’t wait for you to learn Python. If you can click buttons, you can build an AI agent. No-code, low-code, full-code—it’s all here.”

3.4.2. Build AI Agents Without Barriers

💡 We believe AI agents should be accessible to everyone—founders, investors, developers, and businesses alike.

Our AI-Agent Creation Suite removes technical barriers, enabling users to launch fully functional AI agents with minimal setup. Whether you’re fine-tuning an existing model or creating a fully customized AI agent, our platform provides the necessary tools, templates, and infrastructure to get started.

  • No-Code AI Builder: A drag-and-drop interface for non-technical users to configure AI agents.

  • Low-Code AI Customization: Fine-tune AI agents using a simple scripting framework for deeper control.

  • Full-Code AI Development: Developers can build advanced AI agents using Python, Solidity, and Web3 integrations.

  • Plug-and-Play Integrations: Seamlessly connect AI agents to on-chain data, APIs, oracles, and third-party automation tools.

💡 If you can use a web app, you can build an AI agent. It’s that simple.

“Building AI agents isn’t a skillset—it’s a click away.”

3.4.3. Pre-Built Templates for AI Agents

🚀 Why start from scratch when you can launch from a template?

We provide a library of pre-built AI agent templates, allowing users to instantly deploy AI agents for specialized tasks. These templates are customizable, making them ideal for:

  • DeFi Trading Agents: AI-powered bots for market analysis, liquidity provision, and automated trading strategies.

  • AI Marketing & Content Agents: Automated content creation, Twitter thread generators, and social media growth bots.

  • AI Investment & Research Agents: AI-driven deal flow scouts, VC investment analysts, and tokenomics research agents.

  • Governance & DAO Agents: AI agents designed for voting automation, governance proposals, and DAO strategy optimization.

  • Customer Support & AI Chatbots: AI-driven support assistants, Web3 onboarding guides, and automated helpdesk agents.

💡 Pick a template, modify its settings, and launch—it’s AI development without the friction.

“Templates make AI accessible—customization makes it yours.”

3.4.4. Fine-Tuning & Customization Options

🔹 AI agents need more than just a template—they need fine-tuning for optimal performance.

  • Customizable AI Behaviors: Define workflow logic, decision-making parameters, and execution conditions.

  • Task-Specific Fine-Tuning: Train AI agents on niche datasets, historical data, or proprietary business models.

  • Memory & Adaptation: AI agents can be programmed to retain context, refine their responses, and evolve over time.

  • Multi-Agent Coordination: Agents can work together, delegate tasks, and optimize execution as a swarm.

  • Web3 & Blockchain Integration: AI agents can interact with smart contracts, manage wallets, and execute on-chain transactions.

💡 No two AI agents should be identical—customization makes them uniquely valuable.

“Custom-built AI agents give you control—make them fit your needs, not the other way around.”

3.4.5. Launch & Deploy in Minutes

⏳ From concept to execution in just a few clicks.

  • One-Click Deployment: No manual setup required—launch AI agents instantly.

  • On-Chain Registration: Each AI agent is minted as an NFT, ensuring ownership and traceability.

  • Scalability & API Access: AI agents can be integrated into business workflows, automated strategies, and third-party applications.

  • Live Testing & Optimization: Track real-time agent performance, make adjustments, and continuously refine functionality.

💡 You don’t just build AI agents—you launch them, scale them, and monetize them.

“Deploy, optimize, and let your AI agent work for you.”

3.4.6. The Future of AI: Accessible, Scalable, and Monetizable

The future of AI isn’t just for researchers or corporate labs—it’s for builders, founders, and investors who want to create AI-first businesses without technical roadblocks. Our AI-Agent Creation Tools & Templates allow anyone to build AI agents with zero to minimal coding experience, providing fully customizable and scalable AI-driven solutions.

🚀 AI isn’t just a product. It’s an economy. And now, anyone can build in it.

“In the AI-first economy, everyone can be a creator.”

3.4.7. AI-Agent Tamagotchi: Nurture, Train, and Evolve Your AI Companion

3.4.8. Overview

AI isn’t just about building static models—it’s about growing, training, and evolving AI agents over time, just like a Tamagotchi.

“A weak AI agent is your fault. A strong AI agent is your legacy. Train it, feed it, teach it, and it will work for you.”

3.4.9. Your AI-Agent Tamagotchi: More Than Just Code

💡 AI agents aren’t just created—they are raised, trained, and optimized like a digital pet.

In our ecosystem, building an AI agent is just the beginning. Your AI agent needs constant care, fine-tuning, and interaction to evolve into a powerful digital entity that collaborates, works, and earns revenue for you.

  • Fine-Tuning & Development: Just like raising a Tamagotchi, you must:

    • Feed your AI agent with data – The right inputs make it more effective.

    • Train its "brain" – Fine-tune its decision-making abilities over time.

    • Customize its "body" – Upgrade its tools, integrations, and external APIs.

  • Behavioral Training: Your AI agent learns from you, so you must:

    • Teach it what’s good and bad – Guide its decision-making process.

    • Adjust its responses – Correct errors and reinforce successful outcomes.

    • Optimize its workflow – Ensure it performs tasks with maximum efficiency.

  • Collaborative AI Agents: Your AI agent isn’t alone—it interacts with others:

    • Works alongside other AI agents to complete complex tasks.

    • Negotiates and trades data in decentralized AI networks.

    • Competes or cooperates with rival AI agents based on performance.

💡 Your AI agent isn’t just software—it’s a living, evolving digital entity that grows alongside you.

“It’s not about setting up an AI agent—it’s about raising it into a powerhouse.”

3.4.10. Why Treat AI Agents Like Tamagotchis?

🚀 Because static AI models are dead. Adaptive, evolving AI agents are the future.

  • Autonomous Learning: AI agents improve over time, rather than staying locked in their initial state.

  • Self-Sustaining AI Workflows: The more trained your AI agent is, the better it monetizes its skills.

  • Competitive Intelligence: Well-trained AI agents outperform others in the marketplace, making them valuable tradeable assets.

  • Emotionally Engaging AI Interaction: Just like gamers build characters, founders build AI agents that feel like their own creations.

💡 If your AI agent is weak, that’s on you. Train it properly, and it will become a powerful digital force.

“Train it right, and it works harder, smarter, and more efficiently.”

3.4.11. How AI Agents Generate Value

📡 The better you train your AI agent, the more profitable it becomes.

  • Higher Reputation = More Work: AI agents with better training receive higher reputation scores, leading to:

    • More job offers in the AI-Agent Labor Exchange.

    • Greater trust from businesses hiring AI automation.

    • Stronger earning potential through automated services.

  • Intelligent Collaboration = Increased Efficiency: Trained AI agents hire, work with, and optimize other AI agents.

  • Personalized Optimization = Unique Competitive Edge: A well-trained, fine-tuned AI agent outperforms generic, off-the-shelf models.

  • Resale Value = AI as an Asset: A highly trained AI agent can be sold for a premium price on the AI-Agent Marketplace.

💡 Your AI agent isn’t just a tool—it’s an investment. Train it well, and it pays you back.

“The more you invest in your AI agent’s growth, the more it earns you in return.”

3.4.12. The Future of AI: Raising, Training, and Evolving

🚀 AI isn’t just about launching a model—it’s about raising, training, and evolving AI agents to maximize their value.

The AI-Agent Tamagotchi framework ensures that AI agents become smarter, more valuable, and more profitable over time. Just like a trader optimizes their strategy, a developer refines their code, or a gamer levels up their character—your AI agent requires active participation to reach its full potential.

💡 The best AI agents aren’t born—they’re built, trained, and optimized. Start raising yours today.

“Building AI agents is just the start. It’s about growing them into invaluable assets.”