docs: update ARCHITECTURE.md with SAE 3-layer modal cascade

Ensuring 100% code-documentation parity per strict architectural rules.

ARCHITECTURE.md

@@ -29,6 +29,13 @@ Found in `sensors/honeypot_radome.py`.
 - **Ghost Engagement Guard**: Strips DOM nodes explicitly tagged with `visible-to-user="false"` to prevent triggering Accessibility Hooks.
 - **VLM Sanity Guard**: Woven into `telepathic_engine.py`, it sends semantic matches for destructive actions (Like/Follow) through a Vision Language Model step to prevent executing semantic "Bait and Switch" tricks.
 
+### 🧠 Situational Awareness Engine (SAE)
+Found in `situational_awareness.py`. Handles autonomous obstacle detection, recovery, and learning without hardcoded rules.
+- **3-Layer Modal Fast-Path**: Eliminates LLM hallucination traps for Instagram-internal modals (surveys, rating prompts) via O(1) deterministic structural checks:
+  1. **Resource-ID Guard**: Detects internal blocking overlays (e.g., `survey_overlay_container`, `nux_overlay`).
+  2. **Dismiss-Button Heuristic**: Cross-validates typical negative actions ("Not Now", "Take Survey") with overlay structures to prevent false positives in post captions.
+  3. **Zero-Deception Fallback**: If structural markers fail, falls back to `ScreenMemoryDB` and ultimately the LLM. Structured invariants always override the semantic cache.
+
 ### 🦾 Biometric Facade (Gaussian Clicks)
 Found in `device_facade.py`.
 - Human touches do not follow a flat mathematical uniform grid. The GramPilot simulates genuine **biometric dispersion** using `random.gauss(mu, sigma)`, strictly centering clicks inside a thumb-bias radius (bottom-left skew for right-handers). In tests, this hits a 68% standard deviation precision.