feat: add Guardian Agents to village-case-study.html

- Add Guardian Agents verification as step 6 in governance flow (8 steps, was 7)
- Add Guardian Agents featured card in features section
- Update deployment facts: 5 governed features (was 4)
- Add verification evidence to "What This Demonstrates"
- Add Guardian Agents Philosophy paper link to CTA section
- Update EN locale to match

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

public/locales/en/village-case-study.json

@@ -22,7 +22,7 @@
       "ai_label": "AI Model:",
       "ai_value": "Sovereign Llama (QLoRA fine-tuned)",
       "features_label": "AI Features:",
-      "features_value": "4 governed features live",
+      "features_value": "5 governed features live",
       "infra_label": "Infrastructure:",
       "infra_value": "NZ + EU (no US dependency)"
     }
@@ -53,7 +53,7 @@
   },
   "flow": {
     "heading": "How Governance Works in Practice",
-    "intro": "When a member uses any AI feature, the request passes through six governance checks before a response is generated. Each check is independent and can block or modify the request.",
+    "intro": "When a member uses any AI feature, the request passes through seven governance checks before a response reaches them. Each check is independent and can block or modify the request.",
     "steps": {
       "1": {
         "title": "Member request received",
@@ -76,12 +76,16 @@
         "desc": "The sovereign Llama model generates a response using RAG context filtered by the member's permissions. All processing stays on-infrastructure."
       },
       "6": {
+        "title": "Guardian Agents verification",
+        "desc": "Every factual claim in the response is checked against source material using embedding cosine similarity — mathematical measurement, not generative checking. Each claim receives a confidence badge visible to the member."
+      },
+      "7": {
         "title": "Scope verification",
         "desc": "Is the response appropriate to what was asked? Detects scope creep and blocks responses that exceed the original request."
       },
-      "7": {
+      "8": {
         "title": "Delivery with attribution",
-        "desc": "Response delivered to the member with source attribution. Every step is logged for audit."
+        "desc": "Response delivered to the member with confidence badges, source attribution, and full audit trail. Every step is logged."
       }
     }
   },
@@ -106,6 +110,13 @@
       "title": "AI Memory Transparency",
       "benefit": "Members can see, edit, and delete what the AI \"remembers\" about them. Full audit dashboard shows every AI interaction.",
       "governance": "Governance: Multi-stakeholder consent required. Persistence decisions classified and auditable. Members control their own data."
+    },
+    "guardian": {
+      "title": "Guardian Agents",
+      "badge": "NEW",
+      "benefit": "Every AI response is verified against source material using embedding cosine similarity — mathematical measurement, not another generative model checking the first. Each factual claim gets a confidence badge (high, medium, low, unverified) visible to the member.",
+      "governance": "Governance: Verification operates in a fundamentally different epistemic domain from the generation layer — avoiding common-mode failure. Moderator corrections feed back into verification thresholds. All tenant-scoped.",
+      "link": "Philosophical foundations →"
     }
   },
   "limitations": {
@@ -143,7 +154,8 @@
         "• Polycentric governance can operate in production without prohibitive overhead",
         "• Multi-tenant isolation with per-community governance is achievable",
         "• Governance violations are detectable and auditable",
-        "• The framework learns from failures (documented incident responses)"
+        "• The framework learns from failures (documented incident responses)",
+        "• Verification without common-mode failure is achievable using mathematical similarity rather than generative checking"
       ]
     },
     "does_not_support": {
@@ -162,6 +174,7 @@
     "visit_village": "Visit the Village →",
     "village_ai": "Sovereign Language Model →",
     "research_paper": "Research Paper →",
+    "guardian_paper": "Guardian Agents Philosophy →",
     "research_details": "Research Details →"
   }
 }

public/village-case-study.html

@@ -127,7 +127,7 @@
               </li>
               <li class="flex items-center">
                 <span class="w-36 font-medium" data-i18n="what_is.facts.features_label">AI Features:</span>
-                <span data-i18n="what_is.facts.features_value">4 governed features live</span>
+                <span data-i18n="what_is.facts.features_value">5 governed features live</span>
               </li>
               <li class="flex items-center">
                 <span class="w-36 font-medium" data-i18n="what_is.facts.infra_label">Infrastructure:</span>
@@ -207,7 +207,7 @@
     <section class="mb-16">
       <h2 class="text-3xl font-bold text-gray-900 mb-6" data-i18n="flow.heading">How Governance Works in Practice</h2>
       <p class="text-gray-700 mb-4" data-i18n="flow.intro">
-        When a member uses any AI feature, the request passes through six governance checks before a response is generated. Each check is independent and can block or modify the request.
+        When a member uses any AI feature, the request passes through seven governance checks before a response reaches them. Each check is independent and can block or modify the request.
       </p>
 
       <div class="bg-white rounded-xl shadow-md p-8">
@@ -250,15 +250,22 @@
           <li class="flex items-start">
             <div class="flex-shrink-0 w-8 h-8 rounded-full bg-teal-600 text-white flex items-center justify-center font-bold mr-4">6</div>
             <div>
-              <h4 class="font-semibold text-gray-900" data-i18n="flow.steps.6.title">Scope verification</h4>
+              <h4 class="font-semibold text-gray-900" data-i18n="flow.steps.6.title">Guardian Agents verification</h4>
-              <p class="text-gray-600" data-i18n="flow.steps.6.desc">Is the response appropriate to what was asked? Detects scope creep and blocks responses that exceed the original request.</p>
+              <p class="text-gray-600" data-i18n="flow.steps.6.desc">Every factual claim in the response is checked against source material using embedding cosine similarity &mdash; mathematical measurement, not generative checking. Each claim receives a confidence badge visible to the member.</p>
             </div>
           </li>
           <li class="flex items-start">
-            <div class="flex-shrink-0 w-8 h-8 rounded-full bg-emerald-600 text-white flex items-center justify-center font-bold mr-4">7</div>
+            <div class="flex-shrink-0 w-8 h-8 rounded-full bg-teal-600 text-white flex items-center justify-center font-bold mr-4">7</div>
             <div>
-              <h4 class="font-semibold text-gray-900" data-i18n="flow.steps.7.title">Delivery with attribution</h4>
+              <h4 class="font-semibold text-gray-900" data-i18n="flow.steps.7.title">Scope verification</h4>
-              <p class="text-gray-600" data-i18n="flow.steps.7.desc">Response delivered to the member with source attribution. Every step is logged for audit.</p>
+              <p class="text-gray-600" data-i18n="flow.steps.7.desc">Is the response appropriate to what was asked? Detects scope creep and blocks responses that exceed the original request.</p>
+            </div>
+          </li>
+          <li class="flex items-start">
+            <div class="flex-shrink-0 w-8 h-8 rounded-full bg-emerald-600 text-white flex items-center justify-center font-bold mr-4">8</div>
+            <div>
+              <h4 class="font-semibold text-gray-900" data-i18n="flow.steps.8.title">Delivery with attribution</h4>
+              <p class="text-gray-600" data-i18n="flow.steps.8.desc">Response delivered to the member with confidence badges, source attribution, and full audit trail. Every step is logged.</p>
             </div>
           </li>
         </ol>
@@ -342,6 +349,30 @@
           </p>
         </div>
       </div>
+
+      <!-- Guardian Agents — featured -->
+      <div class="bg-gradient-to-r from-teal-50 to-emerald-50 rounded-xl p-6 md:p-8 border-2 border-teal-200 mt-6">
+        <div class="flex items-start gap-4">
+          <div class="flex-shrink-0 w-12 h-12 rounded-lg bg-teal-600 flex items-center justify-center">
+            <svg class="w-6 h-6 text-white" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+              <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 12l2 2 4-4m5.618-4.016A11.955 11.955 0 0112 2.944a11.955 11.955 0 01-8.618 3.04A12.02 12.02 0 003 9c0 5.591 3.824 10.29 9 11.622 5.176-1.332 9-6.03 9-11.622 0-1.042-.133-2.052-.382-3.016z"/>
+            </svg>
+          </div>
+          <div>
+            <div class="flex items-center gap-3 mb-2">
+              <h3 class="text-xl font-bold text-gray-900" data-i18n="features.guardian.title">Guardian Agents</h3>
+              <span class="bg-emerald-100 text-emerald-800 text-xs font-semibold px-2 py-0.5 rounded-full" data-i18n="features.guardian.badge">NEW</span>
+            </div>
+            <p class="text-gray-700 mb-3" data-i18n="features.guardian.benefit">
+              Every AI response is verified against source material using embedding cosine similarity &mdash; mathematical measurement, not another generative model checking the first. Each factual claim gets a confidence badge (high, medium, low, unverified) visible to the member.
+            </p>
+            <p class="text-sm text-gray-500 mb-3" data-i18n="features.guardian.governance">
+              Governance: Verification operates in a fundamentally different epistemic domain from the generation layer &mdash; avoiding common-mode failure. Moderator corrections feed back into verification thresholds. All tenant-scoped.
+            </p>
+            <a href="/blog-post.html?slug=guardian-agents-philosophy-of-ai-accountability" class="text-teal-700 font-semibold hover:text-teal-900 transition text-sm" data-i18n="features.guardian.link">Philosophical foundations &rarr;</a>
+          </div>
+        </div>
+      </div>
     </section>
 
     <!-- Honest Limitations -->
@@ -416,6 +447,7 @@
             <li data-i18n="demonstrates.supports.items.2">&#8226; Multi-tenant isolation with per-community governance is achievable</li>
             <li data-i18n="demonstrates.supports.items.3">&#8226; Governance violations are detectable and auditable</li>
             <li data-i18n="demonstrates.supports.items.4">&#8226; The framework learns from failures (documented incident responses)</li>
+            <li data-i18n="demonstrates.supports.items.5">&#8226; Verification without common-mode failure is achievable using mathematical similarity rather than generative checking</li>
           </ul>
         </div>
 
@@ -455,6 +487,11 @@
            data-i18n="cta.research_paper">
           Research Paper &rarr;
         </a>
+        <a href="/blog-post.html?slug=guardian-agents-philosophy-of-ai-accountability"
+           class="inline-block bg-teal-900 text-white px-8 py-3 rounded-lg font-semibold no-underline border-2 border-teal-400 hover:bg-teal-800 transition"
+           data-i18n="cta.guardian_paper">
+          Guardian Agents Philosophy &rarr;
+        </a>
         <a href="/researcher.html"
            class="inline-block bg-teal-900 text-white px-8 py-3 rounded-lg font-semibold no-underline border-2 border-teal-400 hover:bg-teal-800 transition"
            data-i18n="cta.research_details">