Skip to main content

Gnom AI Technical Roadmap

This roadmap outlines our technical development plans and does not include marketing initiatives. Our primary focus is on building a robust backend and enhancing our LLM capabilities.

Phase 1: Open Beta and Backend Strengthening

Current Status

  • Open beta launched on Telegram
  • Functional Telegram API integration

Objectives

  1. Strengthen and optimize backend infrastructure

    • Improve scalability to handle increasing user load
    • Enhance data processing pipelines
    • Implement advanced caching mechanisms
  2. Refine Telegram API integration

    • Optimize message handling and response times
    • Implement more Telegram-specific features
  3. Improve overall user experience based on beta feedback

    • Enhance conversation flow and context retention
    • Refine language understanding and generation

Phase 2: LLM Enhancements and Feature Expansion

  1. Advanced LLM Capabilities

    • Implement multi-turn conversation improvements
    • Enhance multi-modal processing (text, voice, image)
    • Develop domain-specific knowledge integration
  2. User Customization Features

    • Implement custom command setting functionality
    • Develop user-defined trigger word system
    • Create interface for premium users to deploy different agents
  3. Voice-based Interactions

    • Develop robust speech-to-text and text-to-speech systems
    • Implement voice-based trade execution system
    • Create voice-activated smart contract checker
  4. Microservices Architecture

    • Design and implement a token-based (LLM token) micropayment system
    • Develop microservices for specific AI features

Phase 3: Expansion to Multiple Platforms

  1. Native Mobile Applications

    • Develop iOS app
    • Develop Android app
    • Implement cross-platform data synchronization
  2. Browser Extension

    • Design and develop a browser extension for major browsers
    • Implement "trader friend" functionality within the extension
  3. Third-party Integrations

    • Create SDK for third-party developers
    • Establish developer documentation and support systems

Phase 4: Advanced Features and Security

  1. Offline Capabilities

    • Research and develop offline processing capabilities
    • Implement secure data storage for offline mode
    • Create seamless online/offline transition mechanisms
  2. Enhanced Security Measures

    • Implement end-to-end encryption for all communications
    • Develop advanced anonymization techniques
    • Create secure enclaves for processing sensitive information
  3. AI-Powered Financial Tools

    • Enhance smart contract analysis capabilities
    • Develop AI-driven market analysis features
    • Implement personalized financial advice systems

Ongoing Initiatives

  • Continuous LLM training and optimization
  • Regular security audits and penetration testing
  • Performance optimization across all platforms
  • User feedback integration and feature prioritization

This roadmap is subject to change based on technological advancements, user feedback, and market conditions. We are committed to maintaining our position as one of the most capable LLM-based solutions while prioritizing user experience and security.