diff --git a/Kapitel 13/Tutorial.md b/Kapitel 13/Tutorial.md
index 602a3e7..2600e58 100644
--- a/Kapitel 13/Tutorial.md	
+++ b/Kapitel 13/Tutorial.md	
@@ -837,86 +837,7 @@ Das folgende Schaubild zeigt dir die konkrete Verkabelung
       **Ort:** Terminal im **Clipper‑LXC** → als Benutzer **clipper**
       Öffne die Datei und füge den Inhalt ein:
 
-      ```bash
-      nano /srv/clipper/bin/vod-analyze # (dieses Skript wird das VOD analysieren und candidates.json erzeugen)
-      ```
-
-      Inhalt:
-      ```bash
-      #!/usr/bin/env bash
-      set -euo pipefail
-      . /etc/clipper/clipper.env
-
-
-      ID="${1:?need VOD id}"
-
-
-      VOD_IN_MP4="/srv/clipper/temp/${ID}.mp4" # temporäre Datei (vom VOD aus NC heruntergeladen)
-      OUT_BASE="${CLIPPER_OUT}/${ID}"
-      ANALYSIS="${OUT_BASE}/analysis"
-      LOGDIR="${CLIPPER_LOG}/${ID}"
-
-
-      mkdir -p "$ANALYSIS" "$LOGDIR"
-      exec > >(tee -a "${LOGDIR}/analyze.log") 2>&1
-      echo "== Analyze $ID =="
-
-
-      # 1) Szenenwechsel
-      ffmpeg -hide_banner -loglevel error -i "${VOD_IN_MP4}" \
-      -vf "scale=-2:360,select=gt(scene\,0.30),showinfo" -an -f null - \
-      2> "${LOGDIR}/sceneinfo.log"
-
-
-      # 2) Audio-Statistik
-      ffmpeg -hide_banner -loglevel error -i "${VOD_IN_MP4}" \
-      -vn -ac 1 -ar 16000 \
-      -af "astats=metadata=1:reset=2,ametadata=print:key=lavfi.astats.Overall.RMS_level" \
-      -f null - \
-      2> "${LOGDIR}/astats.log" || true
-
-
-      # 3) Logs → candidates.json
-      ANALYSIS="$ANALYSIS" LOGDIR="$LOGDIR" python3 - <<'PY'
-      import os,re,json
-      out=os.environ["ANALYSIS"]; log=os.environ["LOGDIR"]
-
-
-      scene_ts=[]
-      with open(os.path.join(log,"sceneinfo.log"), errors="ignore") as f:
-      for line in f:
-      m=re.search(r"pts_time:([0-9]+(?:\.[0-9]+)?)", line)
-      if m: scene_ts.append(float(m.group(1)))
-
-
-      has_audio=False
-      ap=os.path.join(log,"astats.log")
-      if os.path.exists(ap):
-      with open(ap, errors="ignore") as f:
-      has_audio = "RMS_level" in f.read()
-
-
-      cands=[{
-      "start": max(0.0,t-2.0),
-      "end": t+6.0,
-      "score": round(0.6+(0.1 if has_audio else 0),2),
-      "tags": ["scene-cut"] + (["audio-peak"] if has_audio else [])
-      } for t in scene_ts]
-
-
-      with open(os.path.join(out,"candidates.json"),"w",encoding="utf-8") as f:
-      json.dump(cands,f,ensure_ascii=False,indent=2)
-      print("Wrote", os.path.join(out,"candidates.json"))
-      PY
-
-
-      echo "== Done $ID =="
-
-
-      # cleanup temp VOD
-      echo "== Cleanup: remove temp file $VOD_IN_MP4 =="
-      rm -f "$VOD_IN_MP4"
-      ```
+      
 
 
       ### Schritt 4.2 – n8n: Analyse starten