KLEVA
Latest (Apr. 2025)
Latest (Apr. 2025)
  • Introduction to Kleva AI
    • About Kleva AI
      • Core Philosophy
      • Unlocking Hidden Value with AI
      • 3S: Simple. Secure. Saving.
  • Social & Community Links
  • Brand Kit
  • Market Context
    • Economic Context & Emerging User Needs
    • Limitations of Traditional DeFi
    • DeFAI – Solving DeFi’s Gaps with AI
  • Platform Design
    • DeFi: Conventional vs. Kleva AI’s Perspective
    • The Future of Autonomous Asset Empowerment
    • Core Systems of Kleva AI
      • 1: Autonomous Economy with Social Assets
      • 2: Referral Incentive Finance
      • 3: Onchain Incentive
  • Strategy & Business
    • Business Plan
      • Business Goals & Metrics
      • Target User Segments – Two Core Groups
  • Product Design
    • Functional Requirements
    • Product Features: Leveraging Invisible Assets
  • Technology Stack
    • Platform Architecture
      • Application & Interface Layer
      • Domain Service Layer
      • Platform Service Layer
        • Core
        • External Data Hub
        • Web3 Engine
        • Common Infra Service
      • Infra Layer
    • Key Features of Agent Runtime
      • Deployment & Model Management Framework
      • Security and Reliability Features
  • Tokenomics
    • KLEVA Token Design
      • Historical Tokenomics
      • Distribution Breakdown
  • Roadmap & Community
    • Roadmap & Timeline
      • KLEVA Protocol Era – Pre-Acquisition ('21~'24)
      • 2025–2026 Milestones
      • Community Engagement Timeline
  • Entity
  • Core Team
  • Vision
  • Commitment to the Future
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  1. Product Design

Functional Requirements

Functional Design for Income Generation & Security

  • Tangible AI Agent Experience: Users should clearly feel that the Kleva AI platform is generating income automatically as if they had a personal financial assistant. The process of income generation must be presented transparently, and users should be able to see the results with minimal effort.

  • Automated DeFi Agent with Unique Strategies: Each AI Agent should operate with sophisticated strategies akin to those used by seasoned quantitative traders. The platform needs to analyze a variety of financial products and market data, and provide functionality for selecting and executing optimal strategies based on the user’s risk preference and investment goals. For example, a user should be able to activate different AI Agents with automatic yield strategies and the agents should execute accordingly.

  • Privacy and Security of Data: Sensitive user data—such as personal information, API keys, and wallet private keys—must be safeguarded with the highest level of security. Multi-layered security measures including encryption, multi-factor authentication, and regular security audits are required to protect user assets and build trust.

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Last updated 28 days ago