| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.265 | | leniency | 0.529 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 72.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1276 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "sharply" | | 1 | "slightly" | | 2 | "slowly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 60.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1276 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulsed" | | 2 | "tinged" | | 3 | "pulse" | | 4 | "glistening" | | 5 | "flicked" | | 6 | "flicker" | | 7 | "jaw clenched" | | 8 | "silence" | | 9 | "trembled" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 18 | | totalWords | 1256 | | ratio | 0.014 | | matches | | 0 | "The Market moves. Never the same twice. They know when you’re not one of them." | | 1 | "hates" | | 2 | "die" | | 3 | "sense" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "For a long moment, he said nothing." |
| |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 945 | | uniqueNames | 8 | | maxNameDensity | 0.95 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Herrera" | | discoveredNames | | Quinn | 9 | | Morris | 1 | | Market | 2 | | Veil | 1 | | St | 2 | | Herrera | 6 | | Unfolded | 1 | | Warden | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Market" | | 3 | "Herrera" | | 4 | "Warden" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like drowned stars" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1256 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 19.03 | | std | 18.26 | | cv | 0.959 | | sampleLengths | | 0 | 80 | | 1 | 3 | | 2 | 61 | | 3 | 23 | | 4 | 47 | | 5 | 36 | | 6 | 1 | | 7 | 2 | | 8 | 70 | | 9 | 72 | | 10 | 4 | | 11 | 31 | | 12 | 3 | | 13 | 6 | | 14 | 40 | | 15 | 30 | | 16 | 3 | | 17 | 33 | | 18 | 6 | | 19 | 11 | | 20 | 33 | | 21 | 10 | | 22 | 11 | | 23 | 25 | | 24 | 4 | | 25 | 7 | | 26 | 6 | | 27 | 14 | | 28 | 11 | | 29 | 25 | | 30 | 9 | | 31 | 1 | | 32 | 4 | | 33 | 4 | | 34 | 16 | | 35 | 6 | | 36 | 14 | | 37 | 7 | | 38 | 24 | | 39 | 16 | | 40 | 41 | | 41 | 8 | | 42 | 37 | | 43 | 25 | | 44 | 10 | | 45 | 7 | | 46 | 26 | | 47 | 4 | | 48 | 46 | | 49 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 172 | | matches | | 0 | "were wading" | | 1 | "was coming" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 141 | | ratio | 0.071 | | matches | | 0 | "The figure ahead—short coat, dark hood pulled low—veered sharply into an alley between two shuttered kebab shops, boots splashing through drainage grates." | | 1 | "The scent of damp brick, fried grease, and something sharper—iron, maybe blood—clung to the air." | | 2 | "That was the first thing she noticed—the temperature." | | 3 | "Figures moved between them—hooded, cloaked, some with features too sharp, too still to be human." | | 4 | "And the man she’d chased—slim build, dark gloves, a patch of scarred skin above his collar—was already slipping toward a covered stall near the back, where a woman with chalk-white hair weighed something small and pulsing on a brass scale." | | 5 | "Another—a hunched figure in a moth-eaten overcoat—offered her a cracked monocle that “sees through lies.”" | | 6 | "A silver medallion hung at his throat—St." | | 7 | "His eyes flicked to her wrist—her watch." | | 8 | "Not toward her—but toward the hatch." | | 9 | "A hand emerged—skeletal, wrapped in blackened cloth." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 1 | | stackExamples | | 0 | "together under low-hanging" |
| | adverbCount | 33 | | adverbRatio | 0.034303534303534305 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009355509355509356 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 8.91 | | std | 7.01 | | cv | 0.786 | | sampleLengths | | 0 | 10 | | 1 | 15 | | 2 | 18 | | 3 | 15 | | 4 | 22 | | 5 | 3 | | 6 | 23 | | 7 | 15 | | 8 | 12 | | 9 | 2 | | 10 | 4 | | 11 | 5 | | 12 | 23 | | 13 | 10 | | 14 | 15 | | 15 | 8 | | 16 | 14 | | 17 | 15 | | 18 | 21 | | 19 | 1 | | 20 | 2 | | 21 | 8 | | 22 | 16 | | 23 | 16 | | 24 | 16 | | 25 | 14 | | 26 | 14 | | 27 | 4 | | 28 | 1 | | 29 | 14 | | 30 | 15 | | 31 | 12 | | 32 | 12 | | 33 | 4 | | 34 | 7 | | 35 | 12 | | 36 | 4 | | 37 | 8 | | 38 | 3 | | 39 | 2 | | 40 | 2 | | 41 | 2 | | 42 | 40 | | 43 | 6 | | 44 | 9 | | 45 | 15 | | 46 | 3 | | 47 | 6 | | 48 | 12 | | 49 | 15 |
| |
| 55.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.36879432624113473 | | totalSentences | 141 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Then a hand caught her" | | 1 | "Then back to her." | | 2 | "Then, slowly, he reached beneath" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 94 | | matches | | 0 | "Her breath came in tight" | | 1 | "She didn’t hesitate." | | 2 | "Her fingers brushed the grip" | | 3 | "She took the steps two" | | 4 | "Her eyes adjusted slowly." | | 5 | "She knew this place." | | 6 | "She’d seen the sketches in" | | 7 | "They know when you’re not" | | 8 | "She ignored them." | | 9 | "Her pulse thudded in her" | | 10 | "She caught a glimpse of" | | 11 | "She spun, gun up, but" | | 12 | "He didn’t flinch from the" | | 13 | "he said, voice low and" | | 14 | "She didn’t lower the weapon" | | 15 | "His eyes flicked to her" | | 16 | "Her finger twitched on the" | | 17 | "He nodded once." | | 18 | "She turned just in time" | | 19 | "She stared at the open" |
| | ratio | 0.298 | |
| 61.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 94 | | matches | | 0 | "Neon signs flickered in smeared" | | 1 | "Harlow Quinn sprinted through the" | | 2 | "Her breath came in tight" | | 3 | "The figure ahead—short coat, dark" | | 4 | "She didn’t hesitate." | | 5 | "Quinn hit the alley’s mouth" | | 6 | "The scent of damp brick," | | 7 | "Her fingers brushed the grip" | | 8 | "The suspect ducked between a" | | 9 | "Quinn slowed just long enough" | | 10 | "A metal door stood slightly" | | 11 | "A thin, pulsing blue light" | | 12 | "She took the steps two" | | 13 | "That was the first thing" | | 14 | "The corridor stretched ten feet" | | 15 | "The floor had been paved" | | 16 | "Quinn stepped inside, lowering her" | | 17 | "Her eyes adjusted slowly." | | 18 | "Rows of them, crammed together" | | 19 | "Figures moved between them—hooded, cloaked," |
| | ratio | 0.798 | |
| 53.19% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 94 | | matches | | 0 | "To her right, a skeletal" |
| | ratio | 0.011 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Harlow Quinn sprinted through the deluge, her trench coat flaring behind her, water surging upward with each stride." | | 1 | "The suspect ducked between a rusted fire escape and a dumpster, then vanished down a narrow service stairwell that dropped beneath street level." | | 2 | "Rows of them, crammed together under low-hanging paper lanterns that glowed amber and violet." | | 3 | "She caught a glimpse of the suspect’s sleeve vanishing behind a curtain of hanging beads." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low and accented" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0 | | effectiveRatio | 0 | |