"""
SESSION 14: TIER 2 INTEGRATION PLAN

Tier 2 Components (est. 3 hours → 0.70+ correctness):
1. NexisSignalEngine: Advanced intent prediction, entropy analysis, risk detection
2. TwinFrequencyTrust: Spectral signature validation for identity/trustworthiness
3. DreamCore/WakeState: Emotional entropy memory, dual-mode operation

ARCHITECTURE:
  Phase 6 (Semantic Tension + Specialization) → [Tier 2 bridges]
  ↓
  NexisSignalEngine (Intent Analysis)
    - Entropy threshold monitoring
    - Ethical alignment detection
    - Risk scoring (suspicion, volatility)
    - Harmonic profile analysis
  ↓
  TwinFrequencyTrust (Identity Validation)
    - Spectral signature generation
    - Peak frequency analysis
    - Identity consistency checking
  ↓
  DreamCore/WakeState (Memory Modes)
    - Dream: Emotional processing, pattern extraction
    - Wake: Rational analysis, fact checking
    - Emotional entropy weighting for memory recall

INTEGRATION POINTS:
1. ForgeEngine.__init__():
   - Initialize NexisSignalEngine with memory path
   - Initialize TwinFrequencyTrust for signature validation
   - Initialize DreamCore/WakeState memory system

2. forge_with_debate():
   - Pre-debate: Nexis intent prediction on query
   - During debate: Spectral validation of agent outputs
   - Post-debate: Dream/Wake memory recording

3. conflict_engine.py:
   - Use Nexis trust scores to weight conflict strength
   - Enhance opposition_score with spectral coherence

SUCCESS METRICS:
- Correctness: 0.24 (Session 12) → 0.70+ (with Tier 1+Tier 2)
- Meta-loops: 90% → <5%
- Response latency: <2s for simple queries
- Memory stability: Emotional entropy <0.15 (healthy)

WORK ORDER:
[1] Extract and normalize Tier 2 components
[2] Create Tier 2 initialization module
[3] Integrate into ForgeEngine
[4] Create Tier 2 test suite
[5] Run final benchmarks
[6] Commit as "Session 14 Complete: Tier 2 Integration"
"""

Session 14 Implementation

1. Created timestamp: 2026-03-20 Session 14 Start
2. Objective: Integrate Tier 2 systems (Nexis, Twin Frequency, DreamCore/WakeState)
3. Expected outcome: Correctness → 0.70+, meta-loops → <5%
4. Files in transit: nexis_signal_engine.py, twin_frequency_trust.py (copied to reasoning_forge/)

Ready to begin Tier 2 module creation...