Add post-diarization speaker review workflow

README.md

@@ -35,7 +35,8 @@ Audio file
     -> FFmpeg preparation (mono, 16 kHz PCM WAV; normalization optional)
     -> whisper.cpp transcription (large-v3-turbo)
     -> optional pyannote.audio Community-1 diarization
-    -> direct full-transcript protocol generation
+    -> optional speaker review and explicit protocol generation (when diarized)
+       or direct full-transcript protocol generation (without diarization)
     -> human review and export
 ```
 
@@ -212,6 +213,22 @@ From the Meeting Assistant repository, start the UI with:
 PYTHONPATH=src:../meeting-lab .venv/bin/streamlit run src/mka/ui/streamlit_app.py
 ```
 
+### North launcher
+
+In the post-diarization Assistant worktree on North, use the checked-in
+launcher instead of creating another virtual environment:
+
+```bash
+./run_north.sh
+```
+
+It reuses North's validated Assistant virtual environment and external
+Whisper/Ollama/Docker-ROCm runtime while loading Meeting Assistant from this
+worktree and Meeting Lab from
+`/opt/git-projekts/meeting-lab`. `HF_TOKEN`, when present, is
+passed through to the disposable diarization container without being stored by
+the launcher.
+
 Streamlit opens `http://localhost:8501` by default. Installing the sibling
 Meeting Lab project supplies its runtime requirements such as PyYAML and
 Requests. Optional diarization dependencies are needed only when diarization