diff --git a/IT_Abteilung/Automatisierung/Channable_stack.md b/IT_Abteilung/Automatisierung/Channable_stack.md
index 5ec290a..87634ca 100644
--- a/IT_Abteilung/Automatisierung/Channable_stack.md
+++ b/IT_Abteilung/Automatisierung/Channable_stack.md
@@ -2,7 +2,7 @@
 title: Channable Stack LT24 Profice Dokumentation
 description: 
 published: true
-date: 2026-03-06T11:09:09.239Z
+date: 2026-03-06T11:13:13.929Z
 tags: 
 editor: markdown
 dateCreated: 2026-03-06T11:09:09.239Z
@@ -49,48 +49,38 @@ Die Pipeline ersetzt den kommerziellen SaaS-Dienst **Channable** durch eine voll
 
 ```mermaid
 graph TB
-    subgraph SERVER["🖥️ DEBIAN SERVER — Docker-Host"]
-        direction TB
-
-        subgraph N8N["⚙️ n8n — Docker Container"]
-            CRON["⏰ Cron-Trigger<br/><i>täglich 00:00 Uhr</i>"]
-            ERR_HANDLER["🔔 Error-Handler<br/><i>E-Mail / Slack Alert</i>"]
-        end
-
-        subgraph PYTHON["🐍 PYTHON 3.11+ — Virtual Environment"]
-            direction LR
-
-            subgraph EXTRACT["📥 EXTRACT"]
-                JTL["📄 JTL-WAWI<br/>CSV-Export"]
-                GAPI["☁️ Google Ads/GA<br/>API — 90 Tage"]
-            end
-
-            subgraph TRANSFORM["🔄 TRANSFORM"]
-                DUCKDB_JOIN["🦆 DuckDB<br/>LEFT JOIN<br/><i>Produkte ⟕ Sales</i>"]
-                POLARS["⚡ Polars<br/>Regel-Engine<br/><i>rules.yaml</i>"]
-            end
-
-            subgraph LOAD["📤 LOAD"]
-                GCONTENT["🛒 Google<br/>Content API<br/><i>Batch-Upload<br/>mit Rate-Limiting</i>"]
-            end
-        end
-
-        DUCKDB_FILE[("💾 DuckDB<br/><i>products.duckdb</i>")]
-        LOGS["📋 Logs & Monitoring<br/><i>/opt/etl-pipeline/logs/</i>"]
+    subgraph N8N [n8n - Docker Container]
+        CRON[Cron-Trigger - 00:00 Uhr]
+        ERR_HANDLER[Error-Handler - E-Mail / Slack]
     end
 
-    CRON -->|"startet Pipeline"| JTL
-    CRON -->|"startet Pipeline"| GAPI
-    JTL -->|"CSV Import"| DUCKDB_JOIN
-    GAPI -->|"Sales-Daten"| DUCKDB_JOIN
-    DUCKDB_JOIN -->|"DataFrame"| POLARS
-    POLARS -->|"transformierte Daten"| GCONTENT
-    DUCKDB_JOIN -.->|"persistiert"| DUCKDB_FILE
-    ERR_HANDLER -.->|"bei Exit-Code 1"| LOGS
+    subgraph EXTRACT [EXTRACT - Datenquellen]
+        JTL[JTL-WAWI CSV-Export]
+        GAPI[Google Ads/GA API - 90 Tage]
+    end
+
+    subgraph TRANSFORM [TRANSFORM - Verarbeitung]
+        DUCKDB_JOIN[DuckDB - LEFT JOIN]
+        POLARS[Polars Regel-Engine - rules.yaml]
+    end
+
+    subgraph LOAD [LOAD - Upload]
+        GCONTENT[Google Content API - Batch-Upload]
+    end
+
+    DUCKDB_FILE[(DuckDB - products.duckdb)]
+    LOGS[Logs und Monitoring]
+
+    CRON -->|startet| JTL
+    CRON -->|startet| GAPI
+    JTL -->|CSV Import| DUCKDB_JOIN
+    GAPI -->|Sales-Daten| DUCKDB_JOIN
+    DUCKDB_JOIN -->|DataFrame| POLARS
+    POLARS -->|transformierte Daten| GCONTENT
+    DUCKDB_JOIN -.->|persistiert| DUCKDB_FILE
+    ERR_HANDLER -.->|bei Fehler| LOGS
 
-    style SERVER fill:#1a1a2e,stroke:#16213e,color:#e0e0e0
     style N8N fill:#2d3436,stroke:#636e72,color:#dfe6e9
-    style PYTHON fill:#2d3436,stroke:#636e72,color:#dfe6e9
     style EXTRACT fill:#0a3d62,stroke:#3c6382,color:#dfe6e9
     style TRANSFORM fill:#1e3799,stroke:#4a69bd,color:#dfe6e9
     style LOAD fill:#6a0572,stroke:#a834a8,color:#dfe6e9
@@ -108,11 +98,11 @@ graph TB
 ### ETL-Datenfluss (vereinfacht)
 
 ```mermaid
-flowchart LR
-    A["📄 JTL CSV<br/><i>200k+ Artikel</i>"] --> C["🦆 DuckDB<br/><b>LEFT JOIN</b>"]
-    B["☁️ Google API<br/><i>Sales 90 Tage</i>"] --> C
-    C --> D["⚡ Polars<br/><b>rules.yaml</b><br/><i>Custom Labels<br/>Titel-Optimierung<br/>Preis-Logik<br/>Ausschlüsse</i>"]
-    D --> E["🛒 Google Content API<br/><b>Batch-Upload</b><br/><i>Rate-Limiting</i>"]
+graph LR
+    A[JTL CSV - 200k+ Artikel] --> C[DuckDB - LEFT JOIN]
+    B[Google API - Sales 90 Tage] --> C
+    C --> D[Polars - rules.yaml]
+    D --> E[Google Content API - Batch-Upload]
 
     style A fill:#079992,stroke:#38ada9,color:#fff
     style B fill:#079992,stroke:#38ada9,color:#fff
@@ -2386,17 +2376,17 @@ Die Kommunikation zwischen n8n (Docker-Container) und der Python-Pipeline auf de
 ## 7.2 Workflow-Architektur
 
 ```mermaid
-flowchart TD
-    CRON["⏰ <b>Cron Trigger</b><br/><i>täglich 00:00 Uhr</i>"]
-    EXEC["⚡ <b>Execute Command</b><br/><code>/opt/etl-pipeline/venv/bin/python<br/>-m scripts.main</code>"]
-    CHECK{"🔍 <b>Exit-Code<br/>prüfen</b>"}
-    SUCCESS["✅ <b>Erfolgs-Meldung</b><br/><i>Log + optionale E-Mail</i>"]
-    ERROR["❌ <b>Fehler-Alarm</b><br/><i>E-Mail / Slack<br/>Benachrichtigung</i>"]
+graph TD
+    CRON[Cron Trigger - 00:00 Uhr]
+    EXEC[Execute Command - python -m scripts.main]
+    CHECK{Exit-Code pruefen}
+    SUCCESS[Erfolgs-Meldung - Log + E-Mail]
+    ERROR[Fehler-Alarm - E-Mail / Slack]
 
     CRON --> EXEC
     EXEC --> CHECK
-    CHECK -->|"Exit = 0 — OK"| SUCCESS
-    CHECK -->|"Exit = 1 — Fehler"| ERROR
+    CHECK -->|Exit 0 - OK| SUCCESS
+    CHECK -->|Exit 1 - Fehler| ERROR
 
     style CRON fill:#e58e26,stroke:#fa983a,color:#fff
     style EXEC fill:#0c2461,stroke:#1e3799,color:#fff