[2ff88f42] einfügen

einfügen

GEMINI.md

@@ -105,6 +105,17 @@ The system architecture has evolved from a CLI-based toolset to a modern web app
     *   **Problem:** Users didn't see when a background job finished.
     *   **Solution:** Implementing a polling mechanism (`setInterval`) tied to a `isProcessing` state is superior to static timeouts for long-running AI tasks.
 
+7.  **Hyper-Personalized Marketing Engine (v3.2) - "Deep Persona Injection":**
+    *   **Problem:** Marketing texts were too generic and didn't reflect the specific psychological or operative profile of the different target roles (e.g., CFO vs. Facility Manager).
+    *   **Solution (Deep Sync & Prompt Hardening):**
+        1.  **Extended Schema:** Added `description`, `convincing_arguments`, and `kpis` to the `Persona` database model to store richer profile data.
+        2.  **Notion Master Sync:** Updated the synchronization logic to pull these deep insights directly from the Notion "Personas / Roles" database.
+        3.  **Role-Centric Prompts:** The `MarketingMatrix` generator was re-engineered to inject the persona's "Mindset" and "KPIs" into the prompt.
+    *   **Example (Healthcare):**
+        - **Infrastructure Lead:** Focuses now on "IT Security", "DSGVO Compliance", and "WLAN integration".
+        - **Economic Buyer (CFO):** Focuses on "ROI Amortization", "Reduction of Overtime", and "Flexible Financing (RaaS)".
+    *   **Verification:** Verified that the transition from a company-specific **Opener** (e.g., observing staff shortages at Klinikum Erding) to the **Role-specific Intro** (e.g., pitching transport robots to reduce walking distances for nursing directors) is seamless and logical.
+
 ## Metric Parser - Regression Tests
 To ensure the stability and accuracy of the metric extraction logic, a dedicated test suite (`/company-explorer/backend/tests/test_metric_parser.py`) has been created. It covers the following critical, real-world bug fixes: