diff --git a/cv_last_cycle.py b/cv_last_cycle.py
index 42ce8f8..b1e9b9d 100644
--- a/cv_last_cycle.py
+++ b/cv_last_cycle.py
@@ -71,17 +71,20 @@ def extract_last_cycle(input_path: Path, output_path: Path) -> None:
 
 
 def main(argv: list[str]) -> None:
-    folder = Path(argv[1]) if len(argv) > 1 else Path(__file__).parent
+    input_folder = Path(argv[1]) if len(argv) > 1 else Path(__file__).parent
+    output_folder = Path(argv[2]) if len(argv) > 2 else input_folder
+    output_folder.mkdir(parents=True, exist_ok=True)
+
     csv_files = sorted(
-        p for p in folder.glob("*.csv") if not p.stem.endswith(SUFFIX)
+        p for p in input_folder.glob("*.csv") if not p.stem.endswith(SUFFIX)
     )
 
     if not csv_files:
-        print(f"Nessun file .csv trovato in {folder}")
+        print(f"Nessun file .csv trovato in {input_folder}")
         return
 
     for csv_file in csv_files:
-        output_path = csv_file.with_name(csv_file.stem + SUFFIX + ".csv")
+        output_path = output_folder / (csv_file.stem + SUFFIX + ".csv")
         try:
             extract_last_cycle(csv_file, output_path)
             print(f"OK  {csv_file.name} -> {output_path.name}")
diff --git a/main.py b/main.py
index 5ef773a..6e0edac 100644
--- a/main.py
+++ b/main.py
@@ -2,13 +2,11 @@
 
 Prende i file .txt grezzi dalla cartella 'raw' (nella root del progetto)
 e li elabora nell'ordine:
-1. cv_to_csv              -> CSV a due colonne (Potential/V, Current/A)
-2. cv_last_cycle           -> isola l'ultimo ciclo completo
-3. cv_normalize_potential  -> aggiunge il potenziale normalizzato
-4. cv_current_over_sqrt_scanrate -> aggiunge le colonne derivate dalla corrente
-5. cv_plot                 -> genera il grafico PNG per ciascun file
-
-Tutti i file intermedi e i risultati vengono creati dentro 'raw'.
+1. cv_to_csv              -> CSV a due colonne (Potential/V, Current/A), dentro 'raw'
+2. cv_last_cycle           -> isola l'ultimo ciclo completo, salvato in 'output'
+3. cv_normalize_potential  -> aggiunge il potenziale normalizzato (in 'output')
+4. cv_current_over_sqrt_scanrate -> aggiunge le colonne derivate dalla corrente (in 'output')
+5. cv_plot                 -> genera il grafico PNG per ciascun file (in 'output')
 """
 
 import sys
@@ -21,6 +19,7 @@ import cv_current_over_sqrt_scanrate
 import cv_plot
 
 RAW_DIR = Path(__file__).parent / "raw"
+OUTPUT_DIR = Path(__file__).parent / "output"
 
 
 def main() -> None:
@@ -28,17 +27,21 @@ def main() -> None:
         print(f"Cartella 'raw' non trovata: creala e mettici dentro i file .txt da elaborare ({RAW_DIR})")
         return
 
-    steps = [
-        ("Conversione .txt -> .csv", cv_to_csv),
-        ("Estrazione ultimo ciclo", cv_last_cycle),
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    print("\n=== Conversione .txt -> .csv ===")
+    cv_to_csv.main(["", str(RAW_DIR)])
+
+    print("\n=== Estrazione ultimo ciclo ===")
+    cv_last_cycle.main(["", str(RAW_DIR), str(OUTPUT_DIR)])
+
+    for label, module in [
         ("Normalizzazione potenziale", cv_normalize_potential),
         ("Colonne corrente/velocita' di scansione", cv_current_over_sqrt_scanrate),
         ("Generazione grafici", cv_plot),
-    ]
-
-    for label, module in steps:
+    ]:
         print(f"\n=== {label} ===")
-        module.main(["", str(RAW_DIR)])
+        module.main(["", str(OUTPUT_DIR)])
 
 
 if __name__ == "__main__":
diff --git a/output/.gitkeep b/output/.gitkeep
new file mode 100644
index 0000000..e69de29