The Three Production Systems

ChirpIQX, PerchIQX, and WakeIQX — all deployed and validated in production as of late 2025.

ChirpIQX - Sound Dimension

Fantasy Sports Intelligence

Real-time breakout detection and waiver wire intelligence. ChirpIQX analyzes fantasy hockey players using additive scoring to signal urgent waiver wire opportunities.

Key Features

  • Urgency Tiers: MUST-ADD, STRONG_PICKUP, WATCH, PASS
  • Multi-Factor Scoring: Recent + projections + opportunity - risk
  • Personality Modes: Aggressive, Analytical, Balanced, Hype
  • Real-Time Analysis: Sub-second recommendations
  • Observable Anchoring: No speculation, only measurable stats

Production Stats

  • 78% Prediction Accuracy
  • Active fantasy hockey users
  • 10+ MCP Tools available
  • Domain: Fantasy sports (expandable)
BreakoutScore = (Recent × 40%) + (Projected × 30%) +
              (Opportunity × 20%) - (Risk × 10%)

PerchIQX - Space Dimension

Database Schema Intelligence

Structural analysis and architectural optimization for databases. PerchIQX maps database schemas using multiplicative ICE scoring to prioritize architectural improvements.

Key Features

  • ICE Scoring: Insight × Context × Execution
  • Relationship Mapping: Foreign keys, cardinalities
  • Environment-Aware: Dev vs staging vs production
  • Pattern Detection: Missing PKs, orphaned tables
  • Observable Only: Schema structure, not assumed intent

Production Stats

  • 398 Automated Tests Passing
  • Database: Cloudflare D1 (SQLite)
  • 5 Core Tools available
  • Domain: Database architecture
ICE Score = (Insight × Context × Execution) / 100

WakeIQX - Time Dimension

Context Management Intelligence

Temporal context preservation and session continuity. WakeIQX maintains context across AI sessions using exponential temporal decay.

Key Features

  • Memory Hierarchy: Ultra-short → long-term
  • Temporal Decay: Exponential relevance reduction
  • Causality Tracking: Action trails with rationales
  • Session Continuity: Seamless context restoration
  • Observable Only: Timestamps and events, no predictions

Production Stats

  • Production Deployment (late 2025)
  • Context Restoration: 10min → 5sec
  • 85% Continuity maintained
  • Domain: AI context management
Relevance = BaseRelevance × e^(-age/halfLife) × AccessBoost