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
Powered by GitBook
On this page
  1. SMITO AI

Architecture and infrastructure

SMITO AI technology base is designed as a modular, scalable, and AI-oriented platform that provides not only generation, but also subsequent interaction with contracts. The architecture is divided into three key layers: Core: AI Model What is the basis: The core of the platform is a fine-tuned language model based on GPT, modified on: ● Thousands of examples of real smart contracts ● Legal Agreement Templates ● Conversational scenarios with users ● Proven DAO logic, tokenomics, multisig, etc. Why you need it: So that the platform does not just know the syntax, but understands the context, goals, dependencies, and can explain its actions. Features of the model: ● Continuous improvement and updating on new cases ● Recognition of logical chains, conditions, and roles ● Generation of readable and correct code in Solidity (and later - Vyper, Move, etc.)

PreviousActivists and CommunitiesNextDeployment and Interoperability Infrastructure

Last updated 12 days ago