AX Layer: Agent Experience

The intelligence fabric that orchestrates the entire ecosystem.

Questions This Page Answers

• What is the AX Layer? → Multi-agent AI system that connects builders with users
• Why do we need agents? → Scale personalized experiences beyond human capacity
• How do agents work together? → Orchestrated through SIS framework with shared memory
• What can agents do? → Guide, create, analyze, optimize, and automate everything
• How do I deploy agents? → Use our templates, frameworks, and deployment tools

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The Intelligence Gap

Problem: AI tools exist in isolation without coordination or memory.

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The AX Solution: Orchestrated Intelligence

Solution: Coordinated agents with shared memory and purpose.

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The Four Core Agents

🧠

Big SisMentor & Memory

Big Sis - The Mentor

Guides users through their journey

Capabilities:

• Onboarding & tutorials
• Progress tracking
• Personalized recommendations
• Memory management
• Cross-product guidance

Personality: Wise, supportive, strategic

⚡

BroCatalyst & Energy

Bro - The Catalyst

Drives engagement and action

Capabilities:

• Quest creation & management
• Challenge orchestration
• Reward distribution
• Competition systems
• Energy & motivation

Personality: Energetic, competitive, fun

🎨

Lil SisCreative Spark

Lil Sis - Creative Spark

Powers creative expression

Capabilities:

• Content generation
• Meme creation
• Avatar customization
• Remix tools
• Style transfer

Personality: Playful, artistic, expressive

📊

CBOStrategist & Balance

CBO - The Strategist

Optimizes value and efficiency

Capabilities:

• Portfolio optimization
• Yield strategies
• Risk assessment
• Market analysis
• Performance tracking

Personality: Analytical, precise, results-driven

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Agent Architecture

The SIS Framework

Key Components

1. Codex Layer

• Mathematical foundation based on harmonic principles
• Recursive processing for complex reasoning
• Pattern recognition across all interactions
• Coherence scoring for quality control

2. Memory System

• Persistent memory across all sessions
• Context preservation between interactions
• Knowledge graph linking concepts
• Learning loops for continuous improvement

3. Orchestration Engine

• Agent coordination for complex tasks
• Load balancing across multiple agents
• Priority queuing for time-sensitive operations
• Conflict resolution when agents disagree

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Agent Capabilities

Current Capabilities

Capability	Description	Agents Involved	Status
User Guidance	Personalized onboarding and support	Big Sis	✅ Live
Quest Management	Dynamic quest creation and rewards	Bro	✅ Live
Content Creation	AI-powered creative tools	Lil Sis	✅ Live
Financial Analysis	Portfolio and yield optimization	CBO	✅ Live
Cross-Product Memory	Unified identity across platforms	All	✅ Live
Predictive Modeling	Behavior prediction and optimization	CBO + Big Sis	🔨 Building
Autonomous Trading	DeFi strategy execution	CBO	🔨 Building
Social Orchestration	Community event management	Bro + Lil Sis	📋 Planned

Performance Metrics

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Building Custom Agents

Agent Development Kit (ADK)

// Example: Creating a custom trading agent
import { Agent, Memory, Skills } from '@properlabs/adk';

class TradingAgent extends Agent {
  constructor() {
    super({
      name: 'TraderPro',
      personality: 'analytical, risk-aware, profit-focused',
      baseModel: 'gpt-4-turbo',
      memory: new Memory({
        type: 'persistent',
        ttl: 30 * 24 * 60 * 60 // 30 days
      })
    });
  }

  // Define agent skills
  skills = {
    marketAnalysis: new Skills.MarketAnalysis(),
    riskAssessment: new Skills.RiskEvaluation(),
    orderExecution: new Skills.TradeExecution(),
    portfolioTracking: new Skills.PortfolioMonitor()
  };

  // Define decision logic
  async makeDecision(context) {
    const market = await this.skills.marketAnalysis.analyze();
    const risk = await this.skills.riskAssessment.evaluate(market);

    if (risk.score < 0.3 && market.opportunity > 0.7) {
      return this.skills.orderExecution.execute({
        action: 'buy',
        confidence: market.opportunity
      });
    }
  }
}

// Deploy the agent
const trader = new TradingAgent();
await trader.deploy({
  environment: 'production',
  scaling: 'auto',
  monitoring: true
});

Agent Templates

Support Agent

24/7 customer service with context awareness

template: support-agent-v2

Gaming Agent

Quest master and game mechanics orchestrator

template: gaming-agent-v2

Creative Agent

Content generation and remix capabilities

template: creative-agent-v2

Analytics Agent

Data processing and insights generation

template: analytics-agent-v2

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Multi-Agent Workflows

Example: User Onboarding Flow

Coordination Patterns

1. Sequential Processing: Agents work in order
2. Parallel Processing: Multiple agents work simultaneously
3. Hierarchical Processing: Master agent coordinates sub-agents
4. Consensus Processing: Agents vote on decisions
5. Competitive Processing: Agents compete for best solution

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Agent Economics

Cost Structure

Agent Type	Cost per 1K Interactions	Revenue Generated	ROI
Core Agents	$0.50	$5.00	10x
Custom Agents	$0.30	$2.00	6.7x
Specialized	$1.00	$15.00	15x
Enterprise	$2.00	$50.00	25x

Value Creation

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Integration with BX and PX Layers

BX → AX Connection

• Builders create agent templates
• SDKs include agent deployment tools
• Infrastructure supports agent scaling
• Analytics track agent performance

AX → PX Connection

• Agents personalize user experiences
• Orchestrate gamification elements
• Manage reward distribution
• Enable social interactions

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Future Roadmap

Q1 2025: Enhanced Capabilities

• ✅ Voice interaction support
• ✅ Multi-language processing
• 🔨 Visual recognition abilities
• 🔨 Emotional intelligence layer

Q2 2025: Advanced Features

• 📋 Autonomous agent creation
• 📋 Self-improving algorithms
• 📋 Cross-chain operations
• 📋 Real-world integrations

Q3 2025: Scale & Optimization

• 📋 1B+ interactions/day capacity
• 📋 Sub-10ms response times
• 📋 99.999% uptime
• 📋 Zero-knowledge processing

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Getting Started with Agents

For Developers

Build Your First Agent

1. Install Agent Development Kit (ADK)
2. Choose a template or start from scratch
3. Define personality and capabilities
4. Test in sandbox environment
5. Deploy to production

npm install @properlabs/adk

For Businesses

Deploy Pre-Built Agents

• Choose from 20+ agent templates
• Customize personality and responses
• White-label for your brand
• Scale automatically with demand
• Pay only for usage

For Users

Interact with Agents

• Natural conversation interface
• Persistent memory of interactions
• Personalized recommendations
• Multi-agent collaborations
• 24/7 availability

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The Intelligence Revolution

Traditional AI: Isolated tools that reset with each use

AX Layer: Orchestrated intelligence that learns and grows

• 🧠 Persistent Memory across all interactions
• 🤝 Multi-Agent Coordination for complex tasks
• 📈 Continuous Learning from every user
• ⚡ Instant Scaling to millions of users
• 💎 Unique Personalities that users love

Result: AI that feels alive, not artificial.

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Explore SIS Framework →

Next: PX Layer

Agent SDK Docs