feat: pure English README.md for global enterprise SEO

README.md

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 <div align="center">
-  <div style="background: linear-gradient(135deg, #0f172a 0%, #1e293b 100%); padding: 32px; border-radius: 12px; border: 1px solid rgba(56, 189, 248, 0.3); margin-bottom: 24px; box-shadow: 0 10px 30px rgba(0,0,0,0.4);">
-    <h2 style="font-family: 'Outfit', sans-serif; font-size: 2.4rem; font-weight: 800; background: linear-gradient(135deg, #38bdf8 0%, #3b82f6 50%, #6366f1 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; margin: 0; letter-spacing: 3px;">DELENTIA AI</h2>
-    <p style="color: #9ca3af; font-size: 0.98rem; margin-top: 10px; font-weight: 300; letter-spacing: 1px;">Enterprise Agentic Infrastructure (EAI) & Cognitive OS Kernel</p>
+  <div style="background: linear-gradient(135deg, #0f172a 0%, #1e293b 100%); padding: clamp(16px, 4vw, 32px); border-radius: 12px; border: 1px solid rgba(56, 189, 248, 0.3); margin-bottom: 24px; box-shadow: 0 10px 30px rgba(0,0,0,0.4);">
+    <h2 style="font-family: 'Outfit', sans-serif; font-size: clamp(1.6rem, 6.5vw, 2.4rem); font-weight: 800; background: linear-gradient(135deg, #38bdf8 0%, #3b82f6 50%, #6366f1 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; margin: 0; letter-spacing: clamp(1px, 0.5vw, 3px); white-space: nowrap;">DELENTIA AI</h2>
+    <p style="color: #9ca3af; font-size: clamp(0.8rem, 2.5vw, 0.98rem); margin-top: 10px; font-weight: 300; letter-spacing: 1px;">Enterprise Agentic Infrastructure (EAI) & Cognitive OS Kernel</p>
   </div>
   
   # 🌐 Delentia AI
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-## 🧮 Core Concepts & Architectural Features
-
-### 1. JITNA 1+4 Pillars: Shared VRAM Cognitive Core
-Rather than running large, resource-heavy LLMs, Delentia OS freezes the base weights of an 8B SLM and dynamically hot-swaps **LoRA Adapters** in GPU VRAM in under **12 milliseconds** (average 11.2 ms) across 4 core pillars:
-1. **The Router:** Fast sequence classification for instant intent routing and task delegation.
-2. **The Guardian:** Constitutional Safety Shield validating context security via the ZK-FDIA boundary equation (F = D^I × A).
-3. **The Executor:** Compiles plan parameters into deterministic JSON/TOON Schemas with a 0.0000% syntax error guarantee.
-4. **The Scribe:** Compresses context windows for long RAG sessions, reducing VRAM memory footprint by **99.09%**.
-
-### 2. ZK-FDIA Mathematical Safety Equation
-Delentia's security architecture is mathematically enforced by the **FDIA equation**:
-
-<div align="center" style="background: linear-gradient(135deg, rgba(14, 165, 233, 0.12) 0%, rgba(37, 99, 235, 0.12) 100%); border: 1.5px solid rgba(56, 189, 248, 0.4); border-radius: 12px; padding: 24px 20px; margin: 24px 0; box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);">
-  <span style="font-family: 'Fira Code', monospace; font-size: 2.4rem; font-weight: 800; color: #38bdf8; letter-spacing: 4px; text-shadow: 0 0 20px rgba(56, 189, 248, 0.5);">
-    F = D<sup>I</sup> × A
-  </span>
-</div>
+<details style="border: 1px solid rgba(56, 189, 248, 0.3); border-radius: 12px; padding: 20px; margin: 24px 0; background: rgba(15, 23, 42, 0.35); box-shadow: 0 8px 24px rgba(0,0,0,0.25);">
+  <summary style="font-family: 'Outfit', sans-serif; font-weight: 700; font-size: 1.3rem; color: #38bdf8; cursor: pointer; outline: none; padding: 4px 0;">
+    🧮 Core Concepts &amp; Architectural Features (Deep Dive)
+  </summary>
+
+  ### 1. JITNA 1+4 Pillars: Shared VRAM Cognitive Core
+  Rather than running large, resource-heavy LLMs, Delentia OS freezes the base weights of an 8B SLM and dynamically hot-swaps **LoRA Adapters** in GPU VRAM in under **12 milliseconds** (average 11.2 ms) across 4 core pillars:
+  1. **The Router:** Fast sequence classification for instant intent routing and task delegation.
+  2. **The Guardian:** Constitutional Safety Shield validating context security via the ZK-FDIA boundary equation (F = D^I × A).
+  3. **The Executor:** Compiles plan parameters into deterministic JSON/TOON Schemas with a 0.0000% syntax error guarantee.
+  4. **The Scribe:** Compresses context windows for long RAG sessions, reducing VRAM memory footprint by **99.09%**.
+
+  ### 2. ZK-FDIA Mathematical Safety Equation
+  Delentia's security architecture is mathematically enforced by the **FDIA equation**:
+
+  <div align="center" style="background: linear-gradient(135deg, rgba(14, 165, 233, 0.12) 0%, rgba(37, 99, 235, 0.12) 100%); border: 1.5px solid rgba(56, 189, 248, 0.4); border-radius: 12px; padding: clamp(16px, 4vw, 24px) clamp(10px, 3vw, 20px); margin: 24px 0; box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3); overflow-x: auto;">
+    <span style="font-family: 'Fira Code', monospace; font-size: clamp(1.4rem, 6.5vw, 2.4rem); font-weight: 800; color: #38bdf8; letter-spacing: clamp(1px, 0.8vw, 4px); text-shadow: 0 0 20px rgba(56, 189, 248, 0.5); white-space: nowrap;">
+      F = D<sup>I</sup> × A
+    </span>
+  </div>
 
-* **F (Future State Score):** System transition approval rating (F ≥ 0.5 authorized, F < 0.5 blocked).
-* **D (Data Quality Context):** Integrity coefficient of ambient context information (0.0 ≤ D ≤ 1.0).
-* **I (Intent Precision):** Exponent representing user request alignment precision (I ≥ 1.0).
-* **A (Architect Gate):** Binary token signature (A = 1 if digital signature valid, A = 0 if missing/forged).
+  * **F (Future State Score):** System transition approval rating (F ≥ 0.5 authorized, F < 0.5 blocked).
+  * **D (Data Quality Context):** Integrity coefficient of ambient context information (0.0 ≤ D ≤ 1.0).
+  * **I (Intent Precision):** Exponent representing user request alignment precision (I ≥ 1.0).
+  * **A (Architect Gate):** Binary token signature (A = 1 if digital signature valid, A = 0 if missing/forged).
 
-> [!IMPORTANT]
-> **Mathematical Security Guarantee:** The Architect Gate (**A**) acts as a strict multiplicative factor. If digital signatures or authorization fail (**A = 0**), the overall safety score (**F**) collapses instantly to **0**, neutralizing prompt injections and model hallucinations by mathematical design.
+  > [!IMPORTANT]
+  > **Mathematical Security Guarantee:** The Architect Gate (**A**) acts as a strict multiplicative factor. If digital signatures or authorization fail (**A = 0**), the overall safety score (**F**) collapses instantly to **0**, neutralizing prompt injections and model hallucinations by mathematical design.
 
-### 3. Hypothesis Property-Based Testing (200,000+ Verified Cases)
-To verify operational robustness, we engineered automated property-based test suites running via the Hypothesis framework across **200,000+ test scenarios** (verified empirical regression: **205,999 examples passed with 0 crashes**):
-* **The Guardian Testing (100,000+ Cases):** Intrusion payloads including Jailbreak, SQL Injection, Prompt Override, and Social Engineering in English and Thai, ensuring A = 0 and F = 0.0 deterministically.
-* **The Executor Testing (100,000+ Cases):** Deeply nested payloads (4-5 levels) and missing parameters, verifying 100% schema alignment and 0.0000% syntax crashes.
+  ### 3. Hypothesis Property-Based Testing (200,000+ Verified Cases)
+  To verify operational robustness, we engineered automated property-based test suites running via the Hypothesis framework across **200,000+ test scenarios** (verified empirical regression: **205,999 examples passed with 0 crashes**):
+  * **The Guardian Testing (100,000+ Cases):** Intrusion payloads including Jailbreak, SQL Injection, Prompt Override, and Social Engineering in English and Thai, ensuring A = 0 and F = 0.0 deterministically.
+  * **The Executor Testing (100,000+ Cases):** Deeply nested payloads (4-5 levels) and missing parameters, verifying 100% schema alignment and 0.0000% syntax crashes.
+</details>
 
 ---
 
-## 🚀 Advanced Testing Architecture v0.5 (Roadmap)
+<details style="border: 1px solid rgba(56, 189, 248, 0.3); border-radius: 12px; padding: 20px; margin: 24px 0; background: rgba(15, 23, 42, 0.35); box-shadow: 0 8px 24px rgba(0,0,0,0.25);">
+  <summary style="font-family: 'Outfit', sans-serif; font-weight: 700; font-size: 1.3rem; color: #38bdf8; cursor: pointer; outline: none; padding: 4px 0;">
+    🚀 Advanced Testing Architecture v0.5 (Roadmap)
+  </summary>
 
-In the upcoming generation (Delentia OS v0.5), we elevate system verification to guarantee Zero-Crash SLA in enterprise production environments:
+  In the upcoming generation (Delentia OS v0.5), we elevate system verification to guarantee Zero-Crash SLA in enterprise production environments:
 
-### 1. Tiered Testing Scale
-* **Public Core Version (CI/CD Gates):** ~200,000+ Examples validating API contracts and basic security boundaries.
-* **Enterprise Version (Nightly Builds):** Up to 2,000,000+ Examples for cumulative fuzzing against rare edge cases and long-term VRAM drift.
+  ### 1. Tiered Testing Scale
+  * **Public Core Version (CI/CD Gates):** ~200,000+ Examples validating API contracts and basic security boundaries.
+  * **Enterprise Version (Nightly Builds):** Up to 2,000,000+ Examples for cumulative fuzzing against rare edge cases and long-term VRAM drift.
 
-### 2. Online Live Fuzzing Runtime
-* Online runtime mode (`DELENTIA_ONLINE_MODE=1`) connecting live SLM engines running on **vLLM** with Continuous Batching and PagedAttention for real-time multi-LoRA evaluation.
+  ### 2. Online Live Fuzzing Runtime
+  * Online runtime mode (`DELENTIA_ONLINE_MODE=1`) connecting live SLM engines running on **vLLM** with Continuous Batching and PagedAttention for real-time multi-LoRA evaluation.
 
-### 3. Long-Term Semantic Drift Testing
-* **100+ Turns Sequential Compression Loop** testing long-term warm recall for **The Scribe** across recursive compression cycles (Pass threshold: Cosine Similarity ≥ 0.90).
+  ### 3. Long-Term Semantic Drift Testing
+  * **100+ Turns Sequential Compression Loop** testing long-term warm recall for **The Scribe** across recursive compression cycles (Pass threshold: Cosine Similarity ≥ 0.90).
 
-### 4. VRAM Saturation Fuzzing
-* Ensuring GPU memory consumption exhibits flat-line behavior (O(1) Memory Complexity) with memory growth derivative under 1,024 Bytes per turn.
+  ### 4. VRAM Saturation Fuzzing
+  * Ensuring GPU memory consumption exhibits flat-line behavior (O(1) Memory Complexity) with memory growth derivative under 1,024 Bytes per turn.
+</details>
 
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