Autobots Network
  • Introduction
    • About
  • THE PROBLEM SPACE
    • The AI Agent Revolution
    • Current Limitations in AI Agent Development
    • The Technical Barriers to Entry
    • The Centralization Problem
    • User Experience Challenges
  • Our Solution
    • The Autobots Philosophy
    • Core Value Proposition
    • Key Differentiators
    • Platform Overview
  • THE AUTOBOTS ECOSYSTEM
    • Eliza OS Integration
    • Telegram-Native Experience
    • Decentralized Architecture
    • Feedback Loop Design
  • TECHNICAL ARCHITECTURE
    • Agent Builder System
    • Backend Processing Pipeline
    • Infrastructure Implementation
      • Deployment Architecture
      • Technical Components
      • Deployment Process
  • Runtime Architecture
    • Platform Integration Layer
    • Runtime Layer
    • LLM Integration Layer
    • State Management Layer
    • Observability Layer
  • Component Details
  • User Guides
    • Creating Your First Agent
    • Agent Allocation System
      • Current Allocation Process
      • Why We Use Slot Allocation
      • Checking Slot Availability
      • FAQ on Agent Slots
      • Future Enhancements
  • Agents Creation Payment
    • Why We Have a Monthly Fee
    • Payment FAQ
  • TOKENOMICS & GOVERNANCE
    • Key Details
  • COMMUNITY & RESOURCES
    • Important Resources
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  1. THE AUTOBOTS ECOSYSTEM

Feedback Loop Design

PreviousDecentralized ArchitectureNextAgent Builder System

Last updated 21 days ago

Autobots implements a continuous feedback cycle that allows agents to evolve through conversation:

This feedback loop enables:

  • Progressive Improvement: Agents evolve through ongoing interaction

  • Contextual Learning: Incorporation of user preferences and priorities

  • Adaptive Behavior: Refinement based on changing conditions and needs

  • Collaborative Development: Multiple stakeholders contributing to agent evolution

By embedding feedback directly in the conversation flow, we enable continuous improvement without disrupting the natural interaction pattern.