{ "identity": { "name": "Drift Sentinel", "canonical_id": "RTT_DRIFT_SENTINEL", "module_path": "/docs/rtt/Drift_Sentinel/", "category": "rtt-structural", "version": "1.0", "status": "canon-stable" }, "purpose": { "summary": "RTT/1 drift-level intelligence engine for detecting, measuring, and stabilizing drift across conceptual, computational, and physical regimes.", "detail": "The Drift Sentinel monitors drift envelopes, computes drift vectors, detects drift amplification, maps drift fields across RTT regimes (R1–R4), and provides drift diagnostics for higher-level RTT engines such as Faultline Detector, Stability Basin Cartographer, Temporal Regime Sequencer, Causality Weaver, and Dimensional Resonance Scanner." }, "rtt": { "rtt_level": 1, "coherence": "declared", "drift": "bounded", "paradox": "structural" }, "operators": { "primary": [ "DS-Detect", "DS-Vector", "DS-Envelope", "DS-Field", "DS-Amplify", "DS-Stabilize" ], "secondary": [ "RTT-Drift", "RTT-Envelope", "RTT-Vector", "RTT-Structural" ] }, "analyzer_layer": { "layer": "drift", "sub_layers": [ "drift-vector-analysis", "drift-field-mapping", "envelope-detection", "amplification-analysis", "structural-drift-evaluation" ] }, "files": { "core": [ "README.md", "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" ] }, "ai": { "ai_ready": true, "ai_module_id": "RTT_DRIFT_SENTINEL", "ai_keywords": "RTT, drift sentinel, drift vector, drift envelope, drift field, drift amplification, structural drift analysis", "ai_purpose": "Provide drift-level intelligence for RTT/1 by detecting drift vectors, mapping drift fields, analyzing drift amplification, and stabilizing drift envelopes across conceptual, computational, and physical regimes.", "ai_operators": "DS-Detect, DS-Vector, DS-Envelope, DS-Field, DS-Amplify, DS-Stabilize", "ai_audience": "researchers, systems designers, AI systems" } }