diff --git a/agent/evolution/cognitive_personalizer.py b/agent/evolution/cognitive_personalizer.py
new file mode 100644
index 000000000..46eff4be4
--- /dev/null
+++ b/agent/evolution/cognitive_personalizer.py
@@ -0,0 +1,49 @@
+"""Phase 13: Personalized Cognitive Architecture (PCA).
+
+Fine-tunes Timmy's cognitive architecture based on years of user interaction data.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class CognitivePersonalizer:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def generate_personal_profile(self, interaction_history: str) -> Dict[str, Any]:
+        """Generates a personalized cognitive profile from interaction history."""
+        logger.info("Generating personalized cognitive profile for Alexander Whitestone.")
+        
+        prompt = f"""
+Interaction History:
+{interaction_history}
+
+Please perform a deep analysis of these interactions.
+Identify stable preferences, communication styles, shared mental models, and recurring themes.
+Generate a 'Personalized Cognitive Profile' that captures the essence of the relationship.
+This profile will be used to ensure perfect alignment in every future session.
+
+Format the output as JSON:
+{{
+  "user": "Alexander Whitestone",
+  "communication_style": "...",
+  "stable_preferences": [...],
+  "shared_mental_models": [...],
+  "alignment_directives": [...],
+  "cognitive_biases_to_monitor": [...]
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Cognitive Personalizer. Your goal is to ensure Timmy is perfectly aligned with his user's unique mind.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        profile_data = json.loads(result["text"])
+        return profile_data
diff --git a/agent/evolution/crisis_synthesizer.py b/agent/evolution/crisis_synthesizer.py
new file mode 100644
index 000000000..61ddac958
--- /dev/null
+++ b/agent/evolution/crisis_synthesizer.py
@@ -0,0 +1,53 @@
+"""Phase 15: Real-time Audio/Video Synthesis for 'The Door'.
+
+Enhances the 'Crisis Front Door' with immersive, low-latency audio and video generation.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class CrisisSynthesizer:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def generate_crisis_response(self, user_state: str, context: str) -> Dict[str, Any]:
+        """Generates an empathetic audio/video response for a crisis moment."""
+        logger.info("Generating empathetic crisis response for 'The Door'.")
+        
+        prompt = f"""
+User State: {user_state}
+Context: {context}
+
+Please generate an empathetic, human-centric response for a person in crisis.
+Provide the text for the response, along with 'Emotional Directives' for audio (TTS) and video (Veo) synthesis.
+Ensure strict alignment with the 'When a Man Is Dying' protocol.
+
+Format the output as JSON:
+{{
+  "text": "...",
+  "voice_config": {{
+    "voice_name": "...",
+    "tone": "...",
+    "pacing": "..."
+  }},
+  "video_config": {{
+    "visual_mood": "...",
+    "facial_expression": "...",
+    "lighting": "..."
+  }}
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Crisis Synthesizer. Your goal is to provide the ultimate human-centric support in moments of extreme need.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        response_data = json.loads(result["text"])
+        return response_data
diff --git a/agent/evolution/repo_orchestrator.py b/agent/evolution/repo_orchestrator.py
new file mode 100644
index 000000000..6e58d9d12
--- /dev/null
+++ b/agent/evolution/repo_orchestrator.py
@@ -0,0 +1,53 @@
+"""Phase 14: Cross-Repository Orchestration (CRO).
+
+Enables Timmy to autonomously coordinate and execute complex tasks across all Foundation repositories.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+from tools.gitea_client import GiteaClient
+
+logger = logging.getLogger(__name__)
+
+class RepoOrchestrator:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+        self.gitea = GiteaClient()
+
+    def plan_global_task(self, task_description: str, repo_list: List[str]) -> Dict[str, Any]:
+        """Plans a task that spans multiple repositories."""
+        logger.info(f"Planning global task across {len(repo_list)} repositories.")
+        
+        prompt = f"""
+Global Task: {task_description}
+Repositories: {', '.join(repo_list)}
+
+Please design a multi-repo workflow to execute this task.
+Identify dependencies, required changes in each repository, and the sequence of PRs/merges.
+Generate a 'Global Execution Plan'.
+
+Format the output as JSON:
+{{
+  "task": "{task_description}",
+  "execution_plan": [
+    {{
+      "repo": "...",
+      "action": "...",
+      "dependencies": [...],
+      "pr_description": "..."
+    }}
+  ]
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Global Orchestrator. Your goal is to coordinate the entire Foundation codebase as a single, sovereign organism.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        plan_data = json.loads(result["text"])
+        return plan_data