| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1135 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1135 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "practiced ease" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "footsteps" | | 1 | "echoing" | | 2 | "quickened" | | 3 | "flickered" | | 4 | "scanned" | | 5 | "practiced ease" | | 6 | "racing" | | 7 | "pulse" | | 8 | "pounding" | | 9 | "foreboding" | | 10 | "echoed" | | 11 | "raced" | | 12 | "stark" | | 13 | "reminder" | | 14 | "encounter" | | 15 | "unwavering" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 6 | | maxInWindow | 5 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 3 |
| | 2 | | label | "air was thick with" | | count | 2 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "eyes narrowed" | | 2 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 76 | | matches | | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1129 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 996 | | uniqueNames | 11 | | maxNameDensity | 1.91 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 19 | | Raven | 3 | | Nest | 3 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 1 | | Tomás | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Tomás" |
| | places | | | globalScore | 0.546 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "liquid that seemed to pulse with their own light" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1129 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 96.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 37.63 | | std | 18.32 | | cv | 0.487 | | sampleLengths | | 0 | 62 | | 1 | 59 | | 2 | 14 | | 3 | 54 | | 4 | 55 | | 5 | 59 | | 6 | 48 | | 7 | 56 | | 8 | 55 | | 9 | 3 | | 10 | 62 | | 11 | 44 | | 12 | 51 | | 13 | 54 | | 14 | 44 | | 15 | 47 | | 16 | 37 | | 17 | 14 | | 18 | 45 | | 19 | 16 | | 20 | 18 | | 21 | 20 | | 22 | 26 | | 23 | 5 | | 24 | 21 | | 25 | 32 | | 26 | 33 | | 27 | 40 | | 28 | 8 | | 29 | 47 |
| |
| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 76 | | matches | | 0 | "was laced" | | 1 | "was connected" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 45.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 88 | | ratio | 0.034 | | matches | | 0 | "There—a flash of movement near the bar's entrance." | | 1 | "Quinn had heard whispers of this place—a hidden supernatural black market that moved locations every full moon." | | 2 | "Quinn's mind was a whirlwind of thoughts and questions, but one thing was clear—this was far from over." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 951 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.024185068349106203 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00946372239747634 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 12.83 | | std | 5.93 | | cv | 0.462 | | sampleLengths | | 0 | 16 | | 1 | 13 | | 2 | 14 | | 3 | 19 | | 4 | 3 | | 5 | 6 | | 6 | 2 | | 7 | 8 | | 8 | 25 | | 9 | 15 | | 10 | 14 | | 11 | 16 | | 12 | 19 | | 13 | 11 | | 14 | 8 | | 15 | 11 | | 16 | 15 | | 17 | 14 | | 18 | 15 | | 19 | 18 | | 20 | 12 | | 21 | 21 | | 22 | 8 | | 23 | 6 | | 24 | 23 | | 25 | 19 | | 26 | 12 | | 27 | 21 | | 28 | 8 | | 29 | 15 | | 30 | 17 | | 31 | 13 | | 32 | 14 | | 33 | 11 | | 34 | 3 | | 35 | 17 | | 36 | 16 | | 37 | 14 | | 38 | 15 | | 39 | 15 | | 40 | 11 | | 41 | 18 | | 42 | 14 | | 43 | 15 | | 44 | 10 | | 45 | 12 | | 46 | 19 | | 47 | 12 | | 48 | 23 | | 49 | 8 |
| |
| 32.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3068181818181818 | | totalSentences | 88 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 75 | | matches | | 0 | "Finally, she reached the bottom," | | 1 | "Finally, she emerged into a" | | 2 | "Slowly, he turned to face" |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 75 | | matches | | 0 | "Her breath came in sharp" | | 1 | "She couldn't afford to lose" | | 2 | "She rounded the corner, her" | | 3 | "She pushed through the crowd," | | 4 | "She moved with military precision," | | 5 | "She had heard rumors about" | | 6 | "She slipped through the opening" | | 7 | "She had no idea what" | | 8 | "She took a deep breath" | | 9 | "She had never been here" | | 10 | "She had no idea what" | | 11 | "It was a small comfort" | | 12 | "She pushed forward, her eyes" | | 13 | "She followed, her heart pounding" | | 14 | "She had no idea where" | | 15 | "She had come too far." | | 16 | "She quickened her pace, her" | | 17 | "She had heard rumors of" | | 18 | "She saw none." |
| | ratio | 0.253 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "Her breath came in sharp" | | 2 | "The suspect, a shadowy figure" | | 3 | "Quinn's eyes narrowed." | | 4 | "She couldn't afford to lose" | | 5 | "She rounded the corner, her" | | 6 | "The suspect was already halfway" | | 7 | "Quinn's voice cut through the" | | 8 | "The alley opened up into" | | 9 | "The green neon sign of" | | 10 | "Quinn's eyes darted around, searching" | | 11 | "There—a flash of movement near" | | 12 | "She pushed through the crowd," | | 13 | "The suspect slipped into The" | | 14 | "The bar was dimly lit," | | 15 | "The air was thick with" | | 16 | "Quinn scanned the room, her" | | 17 | "She moved with military precision," | | 18 | "The suspect reached a bookshelf" | | 19 | "The bookshelf swung open, revealing" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "The suspect reached a bookshelf and, with a quick glance over his shoulder, pulled a book that triggered a hidden mechanism." | | 1 | "The suspect was already at the far end, pushing open a door that led to a narrow staircase descending into darkness." | | 2 | "Quinn had heard whispers of this place—a hidden supernatural black market that moved locations every full moon." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |