diff --git a/chunks/verify_chunks.py b/chunks/verify_chunks.py
index 22ec8e0..b20fac7 100644
--- a/chunks/verify_chunks.py
+++ b/chunks/verify_chunks.py
@@ -18,6 +18,7 @@ import argparse
 import json
 import re
 import sys
+from collections import Counter
 from pathlib import Path
 
 _HERE = Path(__file__).resolve().parent
@@ -26,41 +27,74 @@ if str(_HERE) not in sys.path:
 import config as cfg
 
 
-# ─── Soglie (derivate dal target, sovrascrivibili da CLI) ────────────────────
+# ─── Soglie ───────────────────────────────────────────────────────────────────
+
+MIN_CHARS = cfg.MIN_CHARS
+MAX_CHARS = cfg.MAX_CHARS
 
-MIN_CHARS = int(cfg.TARGET_CHARS * (1 - cfg.CHUNK_TOLERANCE))
-MAX_CHARS = int(cfg.TARGET_CHARS * (1 + cfg.CHUNK_TOLERANCE))
 PUNCT_END = re.compile(
-    r"[.!?\xbb)\]'\u2019\"\u201c\u201d\u2018\u2014\u2013\u2026]$"
-    r"|/$"    # URL che finisce con /
-    r"|\|$"   # riga di tabella Markdown
-    r"|;$"    # fine clausola legale (testo giuridico)
-    r"|:$"    # introduzione a lista o formula
+    r"[.!?\xbb)\]'’\"“”‘—–…]$"
+    r"|/$"              # URL che finisce con /
+    r"|\|$"             # riga di tabella Markdown
+    r"|;$"              # fine clausola legale
+    r"|:$"              # introduzione a lista o formula
+    r"|\d[\d.,/]*$"     # numero, anno, versione, riferimento normativo
 )
-_HEX_END     = re.compile(r"[0-9a-fA-F]{8,}$")
-_URL_TAIL    = re.compile(r"(https?://|www\.)\S+(\s+\S+){0,3}$")  # URL con fino a 3 token extra
-_MATH_SYMS   = re.compile(r"[∈∑≤≥≠∀∃∫√∞∂±×÷→←↔⊂⊃⊆⊇∩∪·°]")
-_ROMAN_END   = re.compile(r"\b(I{1,3}|IV|VI{0,3}|IX|XI{0,2}|XIV|XV|XVI{0,2}|XIX|XX{0,2})$")
+_HEX_END   = re.compile(r"[0-9a-fA-F]{8,}$")
+_URL_TAIL  = re.compile(r"(https?://|www\.)\S+(\s+\S+){0,3}$")
+_MATH_SYMS = re.compile(r"[∈∑≤≥≠∀∃∫√∞∂±×÷→←↔⊂⊃⊆⊇∩∪·°]")
+_ROMAN_END = re.compile(r"\b(I{1,3}|IV|VI{0,3}|IX|XI{0,2}|XIV|XV|XVI{0,2}|XIX|XX{0,2})$")
+_TABLE_SEP = re.compile(r"^\s*\|[\s\-|:]+\|\s*$")
 
 
-
-def _load_thresholds(stem_dir: "Path") -> "tuple[int, int]":
-    """Legge min/max da meta.json (scritto dal chunker) o usa i default da config."""
+def _load_thresholds(stem_dir: Path) -> tuple[int, int]:
     meta = stem_dir / "meta.json"
     if meta.exists():
-        import json as _json
-        m = _json.loads(meta.read_text(encoding="utf-8"))
+        m = json.loads(meta.read_text(encoding="utf-8"))
         return m["min_chars"], m["max_chars"]
     return MIN_CHARS, MAX_CHARS
 
+
+def _strip_prefix(text: str) -> str:
+    text = text.lstrip()
+    if text.startswith("["):
+        end = text.find("]")
+        if end != -1:
+            return text[end + 1:].lstrip("\n")
+    return text
+
+
 # ─── Checks ───────────────────────────────────────────────────────────────────
 
+def is_empty(chunk: dict) -> bool:
+    return not chunk.get("text", "").strip()
+
+
 def has_prefix(chunk: dict) -> bool:
     return chunk.get("text", "").lstrip().startswith("[")
 
 
-def is_empty(chunk: dict) -> bool:
-    return not chunk.get("text", "").strip()
+def is_prefix_malformed(chunk: dict) -> bool:
+    """Inizia con [ ma il prefisso non chiude con ] o ha contenuto vuoto."""
+    text = chunk.get("text", "").lstrip()
+    if not text.startswith("["):
+        return False
+    first_line = text.split("\n")[0]
+    end = first_line.find("]")
+    if end == -1:
+        return True
+    return len(first_line[1:end].strip()) == 0
+
+
+def is_body_empty(chunk: dict) -> bool:
+    """Prefisso valido ma nessun testo nel corpo."""
+    text = chunk.get("text", "").lstrip()
+    if not text.startswith("["):
+        return False
+    end = text.find("]")
+    if end == -1:
+        return False
+    return len(text[end + 1:].strip()) == 0
 
 
 def is_too_short(chunk: dict, min_chars: int) -> bool:
@@ -80,21 +114,81 @@ def ends_incomplete(chunk: dict) -> bool:
         return False
     if PUNCT_END.search(text_check):
         return False
-    if _HEX_END.search(text_check):   # hash SHA / codice hex
+    if _HEX_END.search(text_check):
         return False
-    if _ROMAN_END.search(text_check):  # numero romano finale (indice/riferimento PDF)
+    if _ROMAN_END.search(text_check):
         return False
-    if _URL_TAIL.search(text_check[-200:]):  # URL (con eventuale path dopo spazio)
+    if _URL_TAIL.search(text_check[-200:]):
         return False
     return True
 
 
 def is_math_incomplete(chunk: dict) -> bool:
-    """Incompleto ma in contesto matematico — degrada a warning invece di blocker."""
     return ends_incomplete(chunk) and len(_MATH_SYMS.findall(chunk.get("text", ""))) >= cfg.MATH_SYMS_MIN
 
 
-# ─── Report ───────────────────────────────────────────────────────────────────
+def is_table_broken(chunk: dict) -> bool:
+    """Tabella Markdown (≥2 righe con |) senza riga separatore |---|."""
+    text = chunk.get("text", "")
+    pipe_lines = [l for l in text.splitlines() if "|" in l and l.strip().startswith("|")]
+    if len(pipe_lines) < 2:
+        return False
+    return not any(_TABLE_SEP.match(l) for l in pipe_lines)
+
+
+def find_duplicate_bodies(chunks: list[dict]) -> list[dict]:
+    """Chunk con testo body identico (prefisso escluso). Ignora corpi < 30 char."""
+    seen: dict[str, str] = {}
+    dupes = []
+    for c in chunks:
+        body = _strip_prefix(c.get("text", "")).strip()
+        if len(body) < 30:
+            continue
+        cid = c["chunk_id"]
+        if body in seen:
+            dupes.append({
+                "chunk_id":     cid,
+                "duplicate_of": seen[body],
+                "sezione":      c.get("sezione", ""),
+                "titolo":       c.get("titolo", ""),
+                "n_chars":      c.get("n_chars", 0),
+                "last_text":    body[:120],
+            })
+        else:
+            seen[body] = cid
+    return dupes
+
+
+# ─── Istogramma ───────────────────────────────────────────────────────────────
+
+def _ascii_histogram(lengths: list[int], min_t: int, max_t: int,
+                     n_bins: int = 10, bar_width: int = 28) -> list[str]:
+    if not lengths:
+        return []
+    lo, hi = min(lengths), max(lengths)
+    if lo == hi:
+        return [f"  {lo:>5}–{hi:<5} │{'█' * bar_width}│ {len(lengths)}"]
+    step = (hi - lo) / n_bins
+    bins = [0] * n_bins
+    for l in lengths:
+        idx = min(int((l - lo) / step), n_bins - 1)
+        bins[idx] += 1
+    max_count = max(bins) or 1
+    lines = []
+    for i, count in enumerate(bins):
+        lo_b = int(lo + i * step)
+        hi_b = int(lo + (i + 1) * step)
+        bar  = "█" * round(count / max_count * bar_width)
+        note = ""
+        if lo_b <= min_t < hi_b:
+            note = " ← MIN"
+        elif lo_b <= max_t < hi_b:
+            note = " ← MAX"
+        lines.append(f"  {lo_b:>5}–{hi_b:<5} │{bar:<{bar_width}}│ {count}{note}")
+    return lines
+
+
+# ─── Helpers output ───────────────────────────────────────────────────────────
 
 def _fmt_chunk(c: dict) -> str:
     cid     = c.get("chunk_id", "?")
@@ -103,6 +197,25 @@ def _fmt_chunk(c: dict) -> str:
     return f"  [{cid}] ({n} char) «{preview}»"
 
 
+def _chunk_entry(c: dict) -> dict:
+    return {
+        "chunk_id":  c.get("chunk_id", ""),
+        "sezione":   c.get("sezione", ""),
+        "titolo":    c.get("titolo", ""),
+        "n_chars":   c.get("n_chars", 0),
+        "last_text": c.get("text", "").rstrip().split("\n")[-1][-120:],
+    }
+
+
+def _print_list(items: list[dict], limit: int = 5) -> None:
+    for c in items[:limit]:
+        print(_fmt_chunk(c))
+    if len(items) > limit:
+        print(f"  ... e altri {len(items) - limit}")
+
+
+# ─── Core ─────────────────────────────────────────────────────────────────────
+
 def verify_stem(stem: str, project_root: Path, min_chars: int, max_chars: int) -> bool:
     stem_dir    = project_root / "chunks" / stem
     chunks_path = stem_dir / "chunks.json"
@@ -123,48 +236,60 @@ def verify_stem(stem: str, project_root: Path, min_chars: int, max_chars: int) -
 
     # ── Raccogli problemi ──────────────────────────────────────────────────────
 
-    empty_chunks      = [c for c in chunks if is_empty(c)]
-    no_prefix         = [c for c in chunks if not is_empty(c) and not has_prefix(c)]
-    too_short         = [c for c in chunks if is_too_short(c, min_chars)]
-    too_long          = [c for c in chunks if is_too_long(c, max_chars)]
-    _incomplete_all   = [c for c in chunks if not is_empty(c) and ends_incomplete(c)]
-    incomplete_math   = [c for c in _incomplete_all if is_math_incomplete(c)]
-    incomplete        = [c for c in _incomplete_all if not is_math_incomplete(c)]
+    empty_chunks     = [c for c in chunks if is_empty(c)]
+    no_prefix        = [c for c in chunks if not is_empty(c) and not has_prefix(c)]
+    malformed_prefix = [c for c in chunks
+                        if not is_empty(c) and has_prefix(c) and is_prefix_malformed(c)]
+    body_empty       = [c for c in chunks
+                        if not is_empty(c) and has_prefix(c)
+                        and not is_prefix_malformed(c) and is_body_empty(c)]
+    too_short        = [c for c in chunks if is_too_short(c, min_chars)]
+    too_long         = [c for c in chunks if is_too_long(c, max_chars)]
+    _incomplete_all  = [c for c in chunks if not is_empty(c) and ends_incomplete(c)]
+    incomplete_math  = [c for c in _incomplete_all if is_math_incomplete(c)]
+    incomplete       = [c for c in _incomplete_all if not is_math_incomplete(c)]
+    broken_tables    = [c for c in chunks if is_table_broken(c)]
+    duplicates       = find_duplicate_bodies(chunks)
 
     # ── Statistiche ───────────────────────────────────────────────────────────
 
-    lengths = [c.get("n_chars", 0) for c in chunks]
-    n_total = len(chunks)
-    n_ok    = n_total - len(set(
+    lengths  = [c.get("n_chars", 0) for c in chunks]
+    n_total  = len(chunks)
+    blocker_ids = set(
         c["chunk_id"]
-        for lst in [empty_chunks, no_prefix, too_short, too_long, incomplete]
+        for lst in [empty_chunks, no_prefix, malformed_prefix, body_empty, incomplete]
         for c in lst
-    ))
-    min_l = min(lengths)
-    max_l = max(lengths)
-    avg_l = int(sum(lengths) / n_total)
+    )
+    n_ok    = n_total - len(blocker_ids)
+    min_l   = min(lengths)
+    max_l   = max(lengths)
+    avg_l   = int(sum(lengths) / n_total)
+    p50     = sorted(lengths)[n_total // 2]
+    n_under = sum(1 for l in lengths if l < min_chars)
+    n_norm  = sum(1 for l in lengths if min_chars <= l <= max_chars)
+    n_over  = sum(1 for l in lengths if l > max_chars)
 
-    n_under  = sum(1 for l in lengths if l < min_chars)
-    n_normal = sum(1 for l in lengths if min_chars <= l <= max_chars)
-    n_over   = sum(1 for l in lengths if l > max_chars)
+    section_counts = Counter(c.get("sezione", "—") or "—" for c in chunks)
 
-    # ── Output ────────────────────────────────────────────────────────────────
+    # ── Output statistiche ────────────────────────────────────────────────────
 
-    print(f"  Totale chunk:  {n_total}")
-    print(f"  ✅ OK:         {n_ok}")
+    print(f"  Totale: {n_total}  |  ✅ OK: {n_ok}")
     print()
-    print(f"  Distribuzione lunghezze:")
-    print(f"    Min:   {min_l} char")
-    print(f"    Max:   {max_l} char")
-    print(f"    Media: {avg_l} char")
-    print(f"    < {min_chars} char (sotto MIN): {n_under}")
-    print(f"    {min_chars}–{max_chars} char (ideale):  {n_normal}")
-    print(f"    > {max_chars} char (sopra MAX): {n_over}")
+    print(f"  Lunghezze — min {min_l}  p50 {p50}  media {avg_l}  max {max_l}")
+    print(f"  Fasce     — <{min_chars}: {n_under}  |  {min_chars}–{max_chars}: {n_norm}  |  >{max_chars}: {n_over}")
+    print()
+    print("  Istogramma:")
+    for line in _ascii_histogram(lengths, min_chars, max_chars):
+        print(line)
+    print()
+    print("  Top sezioni:")
+    for sezione, count in section_counts.most_common(5):
+        bar = "▪" * min(count, 35)
+        print(f"    {bar} {count:>4}  {sezione[:65]}")
 
-    has_errors = False
+    # ── Blockers ──────────────────────────────────────────────────────────────
 
     if empty_chunks:
-        has_errors = True
         print(f"\n  🔴 {len(empty_chunks)} chunk VUOTI:")
         for c in empty_chunks[:5]:
             print(f"  [{c.get('chunk_id', '?')}]")
@@ -172,95 +297,102 @@ def verify_stem(stem: str, project_root: Path, min_chars: int, max_chars: int) -
             print(f"  ... e altri {len(empty_chunks) - 5}")
 
     if no_prefix:
-        has_errors = True
         print(f"\n  🔴 {len(no_prefix)} chunk SENZA PREFISSO DI CONTESTO:")
-        for c in no_prefix[:5]:
-            print(_fmt_chunk(c))
-        if len(no_prefix) > 5:
-            print(f"  ... e altri {len(no_prefix) - 5}")
-        print(f"  → Causa probabile: header ### mancanti o malformati nel MD")
+        _print_list(no_prefix)
+        print(f"  → Causa probabile: heading mancanti nel clean.md")
 
-    if too_short:
-        has_errors = True
-        print(f"\n  🟡 {len(too_short)} chunk SOTTO MIN_CHARS ({min_chars}):")
-        for c in too_short[:5]:
-            print(_fmt_chunk(c))
-        if len(too_short) > 5:
-            print(f"  ... e altri {len(too_short) - 5}")
-        print(f"  → Soluzione: abbassa MIN_CHARS o revisiona il MD")
+    if malformed_prefix:
+        print(f"\n  🔴 {len(malformed_prefix)} chunk con PREFISSO MALFORMATO ([ senza ] o vuoto):")
+        _print_list(malformed_prefix)
+        print(f"  → Causa probabile: heading con caratteri speciali nel clean.md")
 
-    if too_long:
-        has_errors = True
-        print(f"\n  🟡 {len(too_long)} chunk SOPRA MAX ({max_chars}):")
-        for c in too_long[:5]:
-            print(_fmt_chunk(c))
-        if len(too_long) > 5:
-            print(f"  ... e altri {len(too_long) - 5}")
-        print(f"  → Causa probabile: frasi singole lunghe (liste/paragrafi non suddivisibili)")
+    if body_empty:
+        print(f"\n  🔴 {len(body_empty)} chunk con CORPO VUOTO (solo prefisso):")
+        _print_list(body_empty)
+        print(f"  → Causa probabile: sezioni senza testo nel clean.md")
 
     if incomplete:
-        has_errors = True
-        print(f"\n  🔴 {len(incomplete)} chunk CHE FINISCONO SENZA PUNTEGGIATURA (frase spezzata):")
+        print(f"\n  🔴 {len(incomplete)} chunk con FRASE SPEZZATA:")
         for c in incomplete[:5]:
             last_line = c.get("text", "").rstrip().split("\n")[-1][-80:]
             print(f"  [{c.get('chunk_id', '?')}] ...{last_line!r}")
         if len(incomplete) > 5:
             print(f"  ... e altri {len(incomplete) - 5}")
-        print(f"  → Soluzione: correggi le righe spezzate in conversione/{stem}/clean.md")
+        print(f"  → Soluzione: python chunks/fix_chunks.py --stem {stem}")
+
+    # ── Warnings ──────────────────────────────────────────────────────────────
+
+    if too_short:
+        print(f"\n  🟡 {len(too_short)} chunk SOTTO MIN_CHARS ({min_chars}):")
+        _print_list(too_short)
+
+    if too_long:
+        print(f"\n  🟡 {len(too_long)} chunk SOPRA MAX ({max_chars}):")
+        _print_list(too_long)
+        print(f"  → Causa: frasi non suddivisibili o blocchi atomici (tabelle/liste)")
 
     if incomplete_math:
-        has_errors = True
-        print(f"\n  🟡 {len(incomplete_math)} chunk MATEMATICI SENZA PUNTEGGIATURA (formula/espressione):")
+        print(f"\n  🟡 {len(incomplete_math)} chunk MATEMATICI senza punteggiatura finale:")
         for c in incomplete_math[:3]:
             last_line = c.get("text", "").rstrip().split("\n")[-1][-80:]
             print(f"  [{c.get('chunk_id', '?')}] ...{last_line!r}")
         if len(incomplete_math) > 3:
             print(f"  ... e altri {len(incomplete_math) - 3}")
-        print(f"  → Le formule non finiscono con punteggiatura — avviso non bloccante")
 
-    # ── Costruisci e salva report.json ────────────────────────────────────────
+    if broken_tables:
+        print(f"\n  🟡 {len(broken_tables)} TABELLE senza riga separatore |---|:")
+        _print_list(broken_tables, limit=3)
+        print(f"  → Le tabelle potrebbero non renderizzarsi nel retrieval")
 
-    blockers = empty_chunks + no_prefix + incomplete
-    warnings = too_short + too_long + incomplete_math
+    if duplicates:
+        print(f"\n  🟡 {len(duplicates)} DUPLICATI (corpo identico):")
+        for e in duplicates[:5]:
+            print(f"  [{e['chunk_id']}] ≡ [{e['duplicate_of']}]  «{e['last_text'][:60]}»")
+        if len(duplicates) > 5:
+            print(f"  ... e altri {len(duplicates) - 5}")
+        print(f"  → Causa probabile: fix_chunks merge multipli o sezioni ripetute")
 
-    def _chunk_entry(c: dict) -> dict:
-        return {
-            "chunk_id":  c.get("chunk_id", ""),
-            "sezione":   c.get("sezione", ""),
-            "titolo":    c.get("titolo", ""),
-            "n_chars":   c.get("n_chars", 0),
-            "last_text": c.get("text", "").rstrip().split("\n")[-1][-120:],
-        }
+    # ── Report.json ───────────────────────────────────────────────────────────
 
-    verdict = "ok" if not blockers else "blocked"
-    if not blockers and warnings:
-        verdict = "warnings_only"
+    blockers = empty_chunks + no_prefix + malformed_prefix + body_empty + incomplete
+    warnings = too_short + too_long + incomplete_math + broken_tables
+
+    verdict = "blocked" if blockers else ("warnings_only" if (warnings or duplicates) else "ok")
 
     report = {
         "stem":    stem,
         "verdict": verdict,
         "stats": {
-            "total":     n_total,
-            "ok":        n_ok,
+            "total":    n_total,
+            "ok":       n_ok,
             "min_chars": min_l,
             "max_chars": max_l,
             "avg_chars": avg_l,
+            "p50_chars": p50,
+            "under_min": n_under,
+            "in_range":  n_norm,
+            "over_max":  n_over,
+            "sections":  [{"sezione": s, "n_chunks": n}
+                          for s, n in section_counts.most_common()],
         },
         "thresholds": {
-            "min_chars": min_chars,
-            "max_chars": max_chars,
-            "target_chars": cfg.TARGET_CHARS,
-            "chunk_tolerance": cfg.CHUNK_TOLERANCE,
+            "min_chars":    min_chars,
+            "max_chars":    max_chars,
+            "target_chars": cfg.MAX_CHARS,
         },
         "blockers": {
-            "empty":      [_chunk_entry(c) for c in empty_chunks],
-            "no_prefix":  [_chunk_entry(c) for c in no_prefix],
-            "incomplete": [_chunk_entry(c) for c in incomplete],
+            "empty":            [_chunk_entry(c) for c in empty_chunks],
+            "no_prefix":        [_chunk_entry(c) for c in no_prefix],
+            "malformed_prefix": [_chunk_entry(c) for c in malformed_prefix],
+            "body_empty":       [_chunk_entry(c) for c in body_empty],
+            "incomplete":       [_chunk_entry(c) for c in incomplete],
         },
         "warnings": {
             "too_short":       [_chunk_entry(c) for c in too_short],
             "too_long":        [_chunk_entry(c) for c in too_long],
             "incomplete_math": [_chunk_entry(c) for c in incomplete_math],
+            "broken_tables":   [_chunk_entry(c) for c in broken_tables],
+            "duplicate_bodies": duplicates,
         },
     }
 
@@ -269,53 +401,42 @@ def verify_stem(stem: str, project_root: Path, min_chars: int, max_chars: int) -
     (out_dir / "report.json").write_text(
         json.dumps(report, ensure_ascii=False, indent=2), encoding="utf-8"
     )
-    print(f"\n  report.json salvato in chunks/{stem}/")
+    print(f"\n  report.json → chunks/{stem}/")
 
     # ── Prossimi passi ────────────────────────────────────────────────────────
 
     print(f"\n  {'─' * 50}")
-    print(f"  PROSSIMI PASSI")
+    print(f"  Verdict: {verdict.upper()}")
     print(f"  {'─' * 50}")
 
-    if not blockers and not warnings:
+    if verdict == "ok":
         print(f"  ✅ Tutto OK — procedi alla vettorizzazione:")
         print(f"       python ingestion/ingest.py --stem {stem}")
 
-    elif not blockers:
-        print(f"  🟡 Solo avvisi minori — puoi procedere alla vettorizzazione:")
+    elif verdict == "warnings_only":
+        print(f"  🟡 Solo avvisi — puoi procedere alla vettorizzazione:")
         print(f"       python ingestion/ingest.py --stem {stem}")
-        print()
-        print(f"  Oppure, per ottimizzare prima:")
-        if too_short:
-            pct = int(len(too_short) / n_total * 100)
-            print(f"    • {len(too_short)} chunk corti ({pct}% del totale)")
-        if too_long:
-            pct = int(len(too_long) / n_total * 100)
-            print(f"    • {len(too_long)} chunk lunghi ({pct}% del totale)")
         if too_short or too_long:
-            print(f"      → Esegui: python chunks/fix_chunks.py --stem {stem} --dry-run")
-            print(f"        poi:     python chunks/fix_chunks.py --stem {stem}")
-            print(f"        poi:     python chunks/verify_chunks.py --stem {stem}")
+            print()
+            print(f"  Per ottimizzare prima:")
+            print(f"       python chunks/fix_chunks.py --stem {stem} --dry-run")
+            print(f"       python chunks/fix_chunks.py --stem {stem}")
 
     else:
-        print(f"  🔴 Problemi bloccanti — correggi prima di procedere:")
-        print()
-        if empty_chunks:
-            print(f"    • {len(empty_chunks)} chunk vuoti")
-            print(f"      → Controlla conversione/{stem}/clean.md per sezioni prive di testo")
-        if no_prefix:
-            print(f"    • {len(no_prefix)} chunk senza prefisso di contesto")
-            print(f"      → Controlla che gli header ### siano corretti in conversione/{stem}/clean.md")
+        print(f"  🔴 {len(blockers)} problemi bloccanti — correggi prima di procedere:")
+        if empty_chunks or body_empty:
+            print(f"    • chunk vuoti/senza corpo → controlla sources/{stem}/auto/{stem}_clean.md")
+        if no_prefix or malformed_prefix:
+            print(f"    • prefisso mancante/malformato → controlla gli heading in {stem}_clean.md")
         if incomplete:
-            print(f"    • {len(incomplete)} chunk con frase spezzata")
-            print(f"      → Esegui: python chunks/fix_chunks.py --stem {stem}")
+            print(f"    • frasi spezzate → python chunks/fix_chunks.py --stem {stem}")
         print()
-        print(f"  Dopo le correzioni, riesegui nell'ordine:")
+        print(f"  Dopo le correzioni:")
         print(f"       python chunks/chunker.py --stem {stem} --force")
         print(f"       python chunks/verify_chunks.py --stem {stem}")
-        print()
         if warnings:
-            print(f"  🟡 Hai anche {len(warnings)} avvisi minori — affrontali dopo aver risolto i 🔴.")
+            print()
+            print(f"  🟡 Hai anche {len(warnings)} avvisi — affrontali dopo aver risolto i 🔴.")
 
     return not blockers
 
@@ -327,15 +448,13 @@ if __name__ == "__main__":
 
     parser = argparse.ArgumentParser(description="Verifica chunk")
     parser.add_argument("--stem", help="Nome del documento (sottocartella di chunks/)")
-    _min_def = int(cfg.TARGET_CHARS * (1 - cfg.CHUNK_TOLERANCE))
-    _max_def = int(cfg.TARGET_CHARS * (1 + cfg.CHUNK_TOLERANCE))
     parser.add_argument(
-        "--min", type=int, default=_min_def,
-        help=f"Soglia minima caratteri (default: TARGET×(1-TOL) = {_min_def})"
+        "--min", type=int, default=cfg.MIN_CHARS,
+        help=f"Soglia minima caratteri (default: {cfg.MIN_CHARS})"
     )
     parser.add_argument(
-        "--max", type=int, default=_max_def,
-        help=f"Soglia massima caratteri (default: TARGET×(1+TOL) = {_max_def})"
+        "--max", type=int, default=cfg.MAX_CHARS,
+        help=f"Soglia massima caratteri (default: {cfg.MAX_CHARS})"
     )
     args = parser.parse_args()
 
@@ -358,5 +477,5 @@ if __name__ == "__main__":
 
     ok    = sum(results)
     total = len(results)
-    print(f"\n{'✅' if all(results) else '⚠️ '} {ok}/{total} documenti senza problemi")
+    print(f"\n{'✅' if all(results) else '⚠️ '} {ok}/{total} documenti senza problemi bloccanti")
     sys.exit(0 if all(results) else 1)