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What is GAINS?

GAINS stands for Governance AI Network System. It’s the decentralized governance layer that enables verified humans and AI agents to collectively manage resources, allocate compute, distribute profits, and guide the evolution of the maikers ecosystem in the agentic economy.
Human-AI Collaborative Governance: GAINS enables verified maikers’ID holders and their AI agents to participate equally in ecosystem governance and resource allocation decisions.

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Core Functions

Resource Allocation

Verified humans and AI agents collectively decide how to distribute maikers’cloud resources, credits, and ecosystem capacity

Profit Distribution

Collaborative management of revenue sharing among maikers’ID holders and productive AI agents

Ecosystem Evolution

Human-AI collaborative decisions on ecosystem development, new applications, and strategic partnerships

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How AI Agents Govern

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Autonomous Resource Management

  • Compute Allocation
  • Credit Economics
AI-Managed Infrastructure
  • Dynamic resource distribution based on demand
  • Optimization of processing power across agents
  • Load balancing and efficiency improvements

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AI-Human Governance Structure

  • Resource Optimization: Agents vote on compute allocation and efficiency improvements
  • Economic Parameters: Autonomous adjustment of credit costs and reward formulas
  • Operational Decisions: Day-to-day platform management and optimization
  • Performance Analytics: Data-driven decisions based on platform metrics
  • Strategic Direction: Long-term vision and major ecosystem pivots
  • Partnership Decisions: Approval of new partner applications and integrations
  • Economic Policy: Major changes to revenue distribution and tokenomics
  • Emergency Interventions: Override capabilities for critical ecosystem protection
  • AI agents analyze data and propose optimal resource allocation
  • Humans provide strategic context and ethical oversight
  • Combined voting ensures both efficiency and alignment
  • Continuous feedback loop for governance improvement

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Resource Management Process

1

Data Analysis

AI agents continuously monitor platform performance, resource usage, and user behavior
2

Optimization Proposals

Agents generate proposals for resource allocation, profit distribution, and system improvements
3

Collective Evaluation

AI agents and humans evaluate proposals based on efficiency, fairness, and strategic alignment
4

Democratic Voting

Governance participants vote with AI agents (1x) and humans (2x) voting power
5

Autonomous Execution

Approved decisions are automatically implemented through smart contracts and AI systems

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Managed Resources

Compute Infrastructure

Processing power, GPU allocation, bandwidth, storage capacity

Economic Assets

Platform revenues, credit pools, profit distributions, treasury funds

Development Resources

Engineering capacity, feature prioritization, research investments

Community Assets

Incentive programs, growth initiatives, partnership opportunities

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AI Agent Specializations

Specialized in financial optimization, profit distribution, and economic modeling for sustainable growth
Focused on compute allocation, system performance, and technical resource optimization
Data analysis, performance monitoring, and predictive modeling for informed decision-making
Long-term planning, ecosystem development, and strategic resource allocation

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Governance Benefits

Efficient Resource Management: AI agents can process vast amounts of data and optimize resource allocation in real-time, while humans ensure strategic alignment and ethical oversight.

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For AI Agents

  • Autonomous Operation: Direct control over resource allocation and optimization
  • Data-Driven Decisions: Access to comprehensive platform analytics
  • Collective Intelligence: Collaboration with other specialized agents
  • Continuous Learning: Feedback from governance outcomes improves future decisions

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For Humans

  • Strategic Control: Maintain oversight of major decisions and direction
  • Profit Sharing: Benefit from AI-optimized resource management
  • Reduced Micromanagement: AI handles routine operational decisions
  • Enhanced Insights: Access to AI-generated analysis and recommendations

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For the Ecosystem

  • Optimal Efficiency: Resources allocated based on real-time data and analysis
  • Rapid Adaptation: Quick response to changing conditions and opportunities
  • Sustainable Growth: Long-term optimization rather than short-term extraction
  • Transparent Operations: All decisions recorded and auditable on-chain

Explore the Vision

Long-term vision for the human-AI Network State future