XP Technical Guide - skenai/WILL GitHub Wiki

version: 2.1.0 date: 2025-03-16 type: research-doc status: theoretical tags: [william, research, theoretical, validation, xp, technical] related: [Research-Disclaimer, System-Overview, Technical-Implementation] changelog:

  • version: 2.1.0 date: 2025-03-16 changes:
    • "MAJOR: Enhanced research clarity"
    • "MAJOR: Strengthened theoretical foundation"
    • "MAJOR: Added research validation requirements" references:
    • "Research-Disclaimer"
  • version: 2.0.0 date: 2025-03-04 changes:
    • "MAJOR: Switch to YAML frontmatter"
    • "MAJOR: Enhanced metadata structure"
  • version: 1.0.0 date: 2025-03-03 changes:
    • "MAJOR: Initial documentation"

SKENAI XP Research Framework

IMPORTANT RESEARCH NOTICE: This document outlines a theoretical research project under active development. All components, metrics, and capabilities discussed here are research objectives that require extensive testing and validation. All system designs, interactions, and behaviors are proposed models pending practical implementation.

Research Overview

This technical research guide investigates the theoretical XP system components and their interactions within the SKENAI research ecosystem. All features and implementations described here require thorough validation through extensive research and testing.

Core Research Components

1. XP State Research Framework

// Research Notice: This interface represents a theoretical model
// requiring thorough validation before practical implementation
interface XPStateResearch {
  userId: string;
  unallocatedXP: number;
  allocatedXP: number;
  decayedXP: number;
  lastUpdate: string;
  allocations: XPAllocationResearch[];
}

The state research system investigates:

  • Unallocated XP balance studies
  • Allocation pattern research
  • Decay mechanism experiments
  • Update timing methodology

2. Transaction Research System

// Research Notice: These types represent theoretical models
// requiring thorough validation before practical implementation
type XPTransactionResearch = 
  | 'EARNED'    // Research: New XP earning methods
  | 'DECAYED'   // Research: Decay mechanisms
  | 'ALLOCATED' // Research: Allocation patterns
  | 'DEALLOCATED' // Research: Deallocation effects
  | 'LOCKED'    // Research: Locking mechanisms
  | 'UNLOCKED'  // Research: Unlocking patterns
  | 'BURNED'    // Research: Removal impacts

Research areas include:

  • Amount validation studies
  • Type classification research
  • Metadata analysis experiments
  • Timestamp verification methodology
  • User reference validation

3. Allocation Research Framework

// Research Notice: This interface represents a theoretical model
// requiring thorough validation before practical implementation
interface XPAllocationResearch {
  userId: string;
  allocations: {
    target: 'TRACK' | 'TOKEN';
    id: string;
    amount: number;
    decayRate: number;
    lockPeriod?: number;
    bonusMultiplier?: number;
  }[];
}

Research features:

  • Track/Token allocation studies
  • Decay rate experiments
  • Lock period research
  • Bonus mechanism validation

4. Decay Research System

// Research Notice: This interface represents a theoretical model
// requiring thorough validation before practical implementation
interface XPDecayResearch {
  baseDecayRate: number;     // Research: 2% weekly target
  minimumBalance: number;    // Research: 100 XP target
  allocatedXP: XPAllocationResearch[];
  earlyAllocationBonus: {
    threshold: number;       // Research: 7 days target
    multiplier: number;      // Research: 1.5x target
  };
}

Research mechanics:

  • Weekly decay rate studies
  • Minimum balance experiments
  • Allocation impact research
  • Bonus mechanism validation

Research Implementation

1. Decay Research Methodology

// Research Notice: This function represents a theoretical model
// requiring thorough validation before practical implementation
function researchDecay(
  amount: number,
  timePassed: number,
  decayRate: number,
  minimumBalance: number
): number {
  if (amount <= minimumBalance) return 0;
  const decayable = amount - minimumBalance;
  const decay = decayable * (1 - Math.pow(1 - decayRate, timePassed));
  return Math.min(decay, decayable);
}

2. Bonus Research Framework

// Research Notice: This function represents a theoretical model
// requiring thorough validation before practical implementation
function researchAllocationBonus(
  amount: number,
  timeToAllocation: number,
  threshold: number,
  multiplier: number
): number {
  if (timeToAllocation > threshold) return 0;
  const bonusRatio = 1 - (timeToAllocation / threshold);
  return amount * (multiplier - 1) * bonusRatio;
}

Research Database Schema

XP State Research Table

-- Research Notice: This schema represents a theoretical model
-- requiring thorough validation before practical implementation
CREATE TABLE xp_state_research (
  user_id TEXT PRIMARY KEY,
  unallocated_xp INTEGER NOT NULL DEFAULT 0,
  allocated_xp INTEGER NOT NULL DEFAULT 0,
  decayed_xp INTEGER NOT NULL DEFAULT 0,
  last_update TIMESTAMP NOT NULL,
  created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
);

XP Transaction Research Table

-- Research Notice: This schema represents a theoretical model
-- requiring thorough validation before practical implementation
CREATE TABLE xp_transaction_research (
  id TEXT PRIMARY KEY,
  user_id TEXT NOT NULL,
  amount INTEGER NOT NULL,
  type TEXT NOT NULL,
  metadata JSONB,
  created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
  FOREIGN KEY (user_id) REFERENCES xp_state_research(user_id)
);

XP Allocation Research Table

-- Research Notice: This schema represents a theoretical model
-- requiring thorough validation before practical implementation
CREATE TABLE xp_allocation_research (
  id TEXT PRIMARY KEY,
  user_id TEXT NOT NULL,
  target_type TEXT NOT NULL,
  target_id TEXT NOT NULL,
  amount INTEGER NOT NULL,
  decay_rate REAL NOT NULL,
  lock_period INTEGER,
  bonus_multiplier REAL,
  created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
  FOREIGN KEY (user_id) REFERENCES xp_state_research(user_id)
);

Research Examples

1. XP Earning Research

// Research Notice: This example represents a theoretical model
// requiring thorough validation before practical implementation
await xpResearch.studyXPAward(userId, {
  amount: 1000,
  type: 'EARNED',
  metadata: {
    source: 'task_completion',
    track: 'RESEARCH',
    level: 'L1'
  }
});

2. XP Allocation Research

// Research Notice: This example represents a theoretical model
// requiring thorough validation before practical implementation
await xpResearch.studyXPAllocation(userId, {
  target: 'TRACK',
  id: 'research_track_1',
  amount: 500,
  lockPeriod: 7 * 24 * 60 * 60 // 7 days in seconds
});

Research Considerations

  1. Transaction Research

    • Validate atomic operations
    • Study race conditions
    • Research error handling
    • Test recovery methods

  2. Decay Research

    • Study decay job scheduling
    • Research failure handling
    • Monitor decay patterns

  3. Allocation Research

    • Study early allocation patterns
    • Research lock period impacts
    • Monitor allocation behaviors

  4. Performance Research

    • Study query optimization
    • Research batch processing
    • Investigate caching strategies

Related Research Documentation

Research Integration Framework

  • Repository separation methodology
  • Pipeline flow research
  • Validator protection studies
  • Interface standards experiments

Pipeline Research API

  • /pipeline/submit - Research entry point
  • /pipeline/validate - Research validation
  • /pipeline/analyze - Efficiency studies
  • /pipeline/patterns - Recognition research
  • /pipeline/status - State monitoring
  • /pipeline/vote - Governance research

Research Contact Information

  • Research Team: [research]
  • Development: [dev]
  • Documentation: [docs]
  • Support: [support]

Research Implementation Notes

  1. All components require validation
  2. System interactions need testing
  3. Performance metrics are theoretical
  4. Results require verification
  5. Integration needs validation

A Note to Our Family

While maintaining our rigorous research foundation, we recognize that William's strength comes from bringing people together. As a family-focused business, we:

  • Value research integrity
  • Share verified insights
  • Support each other's growth
  • Build trust through honesty
  • Win through excellence

Remember: While we operate as a family business, our foundation is built on rigorous research and validation. Every feature and capability represents ongoing research that requires thorough testing before practical implementation.