Update README.md

README.md

@@ -33,4 +33,38 @@ Fine-tuned `distilbert-base-multilingual-cased` on the ConceptNet 4-layer enterp
 Independently tested by the Hugging Face community (john6666):
 - Confirmed 99.315% on reconstructed public test split
 - Grouped lexical-family holdout: 99.78%
-- Conclusion: "The obvious train/test leakage explanation did not survive that
+- Conclusion: "The obvious train/test leakage explanation did not survive that check"
+- All 4 identified improvements implemented within 24 hours
+
+## Cascade Performance
+| Threshold | Fast coverage | Fast accuracy | Final accuracy |
+|-----------|--------------|---------------|----------------|
+| 0.50 | 69.2% | 95.0% | 95.9% |
+| 0.55 | 60.3% | 98.9% | 99.3% |
+| 0.65 | 43.2% | 100% | 100% |
+
+## Layer Precedence
+Mixed semantics: **L4 > L3 > L2 > L1**
+
+## The 4 Layers
+- **L1 Basic** — "Do X" — immediate execution
+- **L2 Context-Aware** — "Do X when Y" — conditional
+- **L3 Predictive** — "Do X before/ahead of/prior to Y" — proactive
+- **L4 Autonomous** — "Do X always" — persistent agent
+
+## Languages
+English · French · Spanish · German · Italian · Portuguese · Chinese · Arabic · Russian
+
+## Usage
+```python
+from transformers import pipeline
+classifier = pipeline("text-classification", model="conceptnetUk/intent-classifier")
+classifier("Send the report when the contract is signed")
+```
+
+## Links
+- Sandbox: https://conceptnet.co.uk/sandbox/
+- GitHub: https://github.com/wushu75/ConceptNet
+- Website: https://conceptnet.co.uk
+
+*© 2026 ConceptNet Ltd · Patents pending*