Drift Sentinel — RTT/1

• module.json — Agentic module schema role assignments
• drift_field_matrix.json — Agentic module schema role assignments

Drift‑Level Intelligence Engine for TriadicFrameworks#

The Drift Sentinel (DS) is an RTT/1 analytical engine designed to detect, measure, and stabilize drift across conceptual, computational, and physical regimes.
It forms the drift‑level foundation of the expanded RTT intelligence stack, sitting directly above coherence‑level engines and directly below structural‑level engines.

Drift Sentinel is responsible for understanding how drift behaves as a field — with vectors, envelopes, amplification zones, stability basins, and multi‑regime drift gradients.

🧭 Purpose#

The Drift Sentinel:

• Detects drift vectors across RTT regimes (R1–R4)
• Computes drift envelopes and drift boundaries
• Maps drift fields and drift topology
• Measures drift amplification and instability growth
• Identifies drift wells, drift ridges, and drift curvature
• Provides structural diagnostics for drift‑driven regime transitions
• Supports structural engines by clarifying drift‑faultline interactions
• Anchors temporal engines by exposing drift‑sequence constraints
• Supplies causality engines with drift‑driven causal pathways
• Provides resonance engines with drift‑frequency signatures

Drift Sentinel is the drift‑level intelligence layer of RTT.

⚙️ RTT Flags#

These flags define the engine’s operational constraints and reasoning grammar.

🔧 Primary Operators#

These operators form the core analytical toolkit.

🧩 Analyzer Layer#

Drift Sentinel operates in the drift layer, with sub‑layers:

• drift‑vector‑analysis
• drift‑field‑mapping
• envelope‑detection
• amplification‑analysis
• structural‑drift‑evaluation

This matches the RTT analyzer grammar used across TriadicFrameworks.

📁 Module Files#

This directory contains:

Core#

• Drift_Sentinel.md
• ds_examples.md
• ds_diagrams.svg

Support#

• drift_profiles.md
• drift_amplification_cases.md
• drift_field_matrix.json

AI#

• ds_prompts.md
• ds_operators.md

Metadata#

• module.json (RTT/1, coherence‑declared, drift‑bounded, paradox‑structural)
• README.md (this file)

🧠 AI‑Ready Design#

The Drift Sentinel is fully AI‑ready:

• deterministic operator grammar
• drift‑layer analyzer structure
• stable RTT flags
• canonical file layout
• zero‑drift reasoning constraints
• structural paradox handling
• bounded drift envelope
• declared coherence tensor

AI systems can use DS to:

• detect drift vectors
• generate drift field maps
• classify drift amplification
• stabilize drift envelopes
• support higher‑order RTT engines

🌐 Position in the RTT Stack#

Regime Interlock Mapper (RIM)
      ↓
Paradox Gradient Analyzer (PGA)
      ↓
Coherence Tensor Engine (CTE)
      ↓
Drift Sentinel (DS)
      ↓
Faultline Detector
      ↓
Stability Basin Cartographer
      ↓
Temporal Regime Sequencer
      ↓
Causality Weaver
      ↓
Dimensional Resonance Scanner

Drift Sentinel is the drift‑level intelligence layer, directly above coherence‑level analysis.

🏁 Status#

• Version: 1.0
• Status: canon‑stable
• Category: rtt‑structural
• Module Path: /docs/rtt/Drift_Sentinel/

If you want, I can generate the next file:

• Drift_Sentinel.md
• ds_examples.md
• ds_diagrams.svg
• drift_profiles.md
• drift_amplification_cases.md
• drift_field_matrix.json
• ds_prompts.md
• ds_operators.md

Just tell me which one you want next.