SmitoAI
  • Welcome
  • SMITO AI
    • Problem
    • Problems of current solutions
    • Missed Opportunities
    • Solution
    • How does the platform work?
    • Why isn't it a template generator?
    • Who is it useful for?
    • Can SMITO AI be used for anything?
    • Example of a live script
    • Platform Architecture
    • Interface Layer - User Level
    • Intelligence Layer
    • Coordination Layer
    • Key Features
    • Interactive Editing and Refinement of Logic
    • Connecting Web3 Wallets
    • History and Memory
    • Scenario mode (cases and projects)
    • Educational Overlays
    • Future features
    • Cultural layer
    • Visual Philosophy
    • Abandoning Web3 stamps
    • Mission
    • Use Cases
    • Educational Projects and Teachers
    • Artists, Authors, and NFT Creators
    • Small Business
    • Freelancers and Agencies
    • Activists and Communities
    • Architecture and infrastructure
    • Deployment and Interoperability Infrastructure
    • Security and Verification
    • Privacy and Autonomy
    • Why Modular Architecture Is Important
    • Roadmap
    • Phase 1
    • Phase 2
    • Phase 3
    • Phase 4
    • Governance & Community Control
    • Who influences the development of the platform?
    • Roles and Trust
    • How are decisions made?
    • Risks and Ethics
    • Transparency of AI generation
    • AI Ethics
    • Disclaimer
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  1. SMITO AI

Intelligence Layer

What is this:

The AI core of SMITO AI. Fine-tuned language model trained in HuggingFACE on the basis of real smart contracts, legal conditions, and dialogues. Why is it needed: To understand the meaning of user requests, identify the structure of logic and create working code in the blockchain language (Solidity, Vyper, etc.). How it works: ● Contract Pattern Training The system knows how voting, multi-signatures, crowdfunding, royalties, and so on are implemented. ● Contextual parsing It does not just compare phrases, but derives the structure of logic: if, then, otherwise, conditions, roles, actions. ● Dynamic adaptation You can say, "What if the user leaves the DAO?" and the AI recalculates all the associated logic. Advantage: You don't depend on a set of templates. You communicate with a model that generates a result based on your query, rather than just choosing from a list.

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Last updated 12 days ago