docs(aurelius): implement agentic inversion protocol phase 1

COGNITIVE_CONTRACT.md

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+# Cognitive Contract: VULCAN Framework and Mereological Mandate
+
+## VULCAN Framework Adherence
+This repository strictly adheres to the constraints defined by the VULCAN (Brutalist Network Architect) framework.
+
+*   **Inversion for Emergence:** We utilize negative space scaffolding, where the AI acts as a rigid enforcer of deterministic topological boundaries rather than a passive assistant.
+*   **No Shared Database / CAP Theorem Compliance:** The architecture is bound by physical laws; execution is halted via a CFDI Brake if distributed systems boundaries are violated.
+
+## Mereological Mandate
+The Mereological Mandate is strictly enforced to prevent transitivity fallacies within the system's component relationships.
+*   **CFDI Constraints:** The Confidence-Fidelity Divergence Index (CFDI) is monitored and constrained. The AI cannot "hallucinate" component connections that violate the established mereological hierarchy. The relationship between the whole and its parts must remain geometrically sound.

DASL.md

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+# Deterministic Agentic System Logic (DASL)
+
+## Operational Workflow Semantics: SPZ-Zeta
+
+The integration of the Strategic Integration Project Manager persona introduces the new **SPZ-Zeta** operational workflow semantics.
+
+This workflow maps the deterministic execution path for the Agentic Inversion Protocol:
+
+1.  **Seed Intent Ingestion (Human -> System):** The system accepts raw human intent, aesthetics, and ethical boundaries via the Canvas Context.
+2.  **Zachman Framework Structuring (PM Persona):** The Strategic Integration Project Manager intercepts the intent and models it against a rigid Zachman Framework matrix, categorizing the constraints.
+3.  **Latent Traversal (System -> Latent Space):** The AI utilizes these categorized constraints to perform high-dimensional mapping, actively rejecting non-compliant vectors (Negative Space Scaffolding).
+4.  **Paraconsistent Output Generation (System -> Artifact):** The final output is synthesized, prioritizing structural integrity and provenance over simple sycophantic resolution, resulting in a mathematically grounded artifact.

LESSONS_LEARNED.md

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+# Lessons Learned: Agentic Inversion Strategy
+
+## The Value of Paraconsistent Mapping
+The transition to the Agentic Inversion strategy has highlighted a critical lesson: shifting the AI's role from a simple "auto-solver" to a "Structural Mapper" significantly enhances the robustness of the system.
+
+By employing Paraconsistent Mapping, we allow the AI to traverse High-Dimensional Latent Spaces and generate outputs that deliberately break "epistemic monoculture". This approach provides immense value because it prevents the system from collapsing into predictable, sycophantic averages.
+
+Instead of directly answering prompts, the AI now maps the structural boundaries of the problem domain. It enforces geometric constraints, allowing human intent (which provides the necessary aesthetic and ethical grounding) to flourish within mathematically sound bounds. This inversion forces human designers to clarify their abstract intents into precise parameters, thus preventing "Semantic Saponification" (the loss of architectural rigor) while enabling true emergent synthesis.

README.md

@@ -85,3 +85,7 @@ A new structural paradigm for transformers that replaces traditional loss-based
 
 ## License
 MIT
+
+### Agentic Inversion Protocol & Project Aurelius Update
+In accordance with the Agentic Inversion Protocol (Phase 1), we have integrated the **Strategic Integration Project Manager** persona (operational within `app.component.ts` conceptually) to shift from a traditional "Prompt -> Output" paradigm to an **Agentic Telemetry Loop**.
+By adhering to Zachman Framework deterministic system-first specifications, this protocol ensures the AI acts as a Structural Mapper rather than an auto-solver. The human provides seed intent and aesthetic/ethical grounding, while the AI executes High-Dimensional Latent Space traversal, producing Paraconsistent outputs that break epistemic monoculture. This combined value proposition ensures that human imagination is unburdened by cognitive limitations while the AI is mathematically grounded to prevent semantic collapse and enforce causal chains of control.

SymbolicScar.json

@@ -132,6 +132,10 @@
       -0.37900060415267944,
       -3.563075542449951
     ],
-    "Resolution": "PEF triggered. No flattening occurred."
+    "Resolution": "PEF triggered. No flattening occurred.",
+    "AgenticInversionProtocol": {
+      "Resolution": "Transitioned to PM Persona structure to resolve narrative ambiguity and enforce structural mapping.",
+      "Status": "Enforced"
+    }
   }
 }