| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said flatly [flatly]" | | 1 | "She turned back [back]" | | 2 | "she said quietly [quietly]" | | 3 | "she said finally [finally]" |
| | dialogueSentences | 56 | | tagDensity | 0.482 | | leniency | 0.964 | | rawRatio | 0.148 | | effectiveRatio | 0.143 | |
| 90.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1546 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 41.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1546 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "chill" | | 1 | "standard" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "intricate" | | 5 | "etched" | | 6 | "furrowing" | | 7 | "sense of" | | 8 | "familiar" | | 9 | "potential" | | 10 | "weight" | | 11 | "magnetic" | | 12 | "racing" | | 13 | "intensity" | | 14 | "charged" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1538 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 1076 | | uniqueNames | 13 | | maxNameDensity | 3.07 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 33 | | Camden | 1 | | Town | 1 | | Transport | 1 | | Police | 1 | | Morris | 4 | | Eva | 23 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Veil | 1 | | Market | 1 | | Patel | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Police" | | 2 | "Morris" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Museum" | | 6 | "Patel" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed impossible for conventional tools" |
| |
| 4.94% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.951 | | wordCount | 1538 | | matches | | 0 | "Not tattoos—these were fresher, almost like brands or scarification, but with a precision" | | 1 | "not north but toward the end of the platform" | | 2 | "not random damage, but a deliberate line forming the outline of a doorway" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 129 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 25.63 | | std | 13.02 | | cv | 0.508 | | sampleLengths | | 0 | 54 | | 1 | 29 | | 2 | 39 | | 3 | 45 | | 4 | 28 | | 5 | 9 | | 6 | 16 | | 7 | 48 | | 8 | 13 | | 9 | 13 | | 10 | 34 | | 11 | 30 | | 12 | 16 | | 13 | 40 | | 14 | 15 | | 15 | 39 | | 16 | 20 | | 17 | 43 | | 18 | 29 | | 19 | 13 | | 20 | 13 | | 21 | 18 | | 22 | 27 | | 23 | 18 | | 24 | 33 | | 25 | 16 | | 26 | 44 | | 27 | 6 | | 28 | 36 | | 29 | 29 | | 30 | 6 | | 31 | 16 | | 32 | 22 | | 33 | 16 | | 34 | 19 | | 35 | 21 | | 36 | 40 | | 37 | 25 | | 38 | 18 | | 39 | 40 | | 40 | 36 | | 41 | 8 | | 42 | 34 | | 43 | 7 | | 44 | 12 | | 45 | 48 | | 46 | 29 | | 47 | 15 | | 48 | 34 | | 49 | 34 |
| |
| 87.89% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 101 | | matches | | 0 | "was locked" | | 1 | "was unmarred" | | 2 | "was pulled" | | 3 | "was etched" | | 4 | "were laid" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 191 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 129 | | ratio | 0.054 | | matches | | 0 | "Not tattoos—these were fresher, almost like brands or scarification, but with a precision that seemed impossible for conventional tools." | | 1 | "The skin around them was unmarred—no inflammation, no sign of trauma beyond the markings themselves." | | 2 | "Quinn eyed the item—a small compass with a tarnished brass casing covered in a greenish patina." | | 3 | "The markings, the bone token—they matched patterns in the case file she'd been building since Morris disappeared." | | 4 | "As they approached, Quinn noticed a thin seam in the tiling—not random damage, but a deliberate line forming the outline of a doorway." | | 5 | "But something else—the memory of Morris's face the night he vanished, the unsolved questions that had plagued her for three years—pushed her forward." | | 6 | "As they stepped through the doorway, Quinn couldn't shake the feeling that the case was finally, after three long years, breaking open—though not in any way she could have anticipated." |
| |
| 99.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1086 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03314917127071823 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.020257826887661142 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 11.92 | | std | 6.65 | | cv | 0.558 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 17 | | 3 | 8 | | 4 | 19 | | 5 | 10 | | 6 | 4 | | 7 | 15 | | 8 | 20 | | 9 | 10 | | 10 | 19 | | 11 | 16 | | 12 | 14 | | 13 | 1 | | 14 | 13 | | 15 | 9 | | 16 | 8 | | 17 | 8 | | 18 | 8 | | 19 | 14 | | 20 | 26 | | 21 | 5 | | 22 | 8 | | 23 | 8 | | 24 | 5 | | 25 | 15 | | 26 | 19 | | 27 | 6 | | 28 | 14 | | 29 | 10 | | 30 | 16 | | 31 | 13 | | 32 | 12 | | 33 | 15 | | 34 | 15 | | 35 | 19 | | 36 | 20 | | 37 | 7 | | 38 | 13 | | 39 | 21 | | 40 | 14 | | 41 | 8 | | 42 | 3 | | 43 | 26 | | 44 | 10 | | 45 | 3 | | 46 | 13 | | 47 | 4 | | 48 | 14 | | 49 | 7 |
| |
| 67.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4186046511627907 | | totalSentences | 129 | | uniqueOpeners | 54 | |
| 37.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 89 | | matches | | 0 | "Instead, she pulled out the" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 89 | | matches | | 0 | "It was nearly midnight, and" | | 1 | "Her attention was locked on" | | 2 | "He gestured toward the covered" | | 3 | "She'd seen similar markings before," | | 4 | "She'd been trying to make" | | 5 | "she asked, reaching for the" | | 6 | "They seemed to form a" | | 7 | "Her curly red hair was" | | 8 | "She produced an ID card" | | 9 | "She gestured toward the body" | | 10 | "She began sketching the markings" | | 11 | "She'd dismissed it as fiction" | | 12 | "she said flatly" | | 13 | "She reached into her satchel" | | 14 | "Its face was etched with" | | 15 | "She turned back to the" | | 16 | "It wasn't plastic or ivory..." | | 17 | "she asked, picking up the" | | 18 | "she said quietly" | | 19 | "she said finally" |
| | ratio | 0.247 | |
| 21.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 89 | | matches | | 0 | "Harlow Quinn ducked under the" | | 1 | "It was nearly midnight, and" | | 2 | "The night air carried a" | | 3 | "Her attention was locked on" | | 4 | "The uniform at the entrance" | | 5 | "Quinn nodded without commenting." | | 6 | "Suicides weren't her department's jurisdiction," | | 7 | "The call had come through" | | 8 | "The station was eerily quiet" | | 9 | "Quinn's footsteps echoed on the" | | 10 | "The forensic team had already" | | 11 | "Patel, the on-call pathologist, knelt" | | 12 | "Quinn approached, taking care not" | | 13 | "Patel glanced up, recognition flickering" | | 14 | "He gestured toward the covered" | | 15 | "Quinn crouched beside the pathologist." | | 16 | "Patel carefully folded back the" | | 17 | "The victim's arm was exposed," | | 18 | "Quinn leaned closer, her brow" | | 19 | "She'd seen similar markings before," |
| | ratio | 0.876 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "The night air carried a chill that worked through her lightweight blazer, but the discomfort barely registered." | | 1 | "Not tattoos—these were fresher, almost like brands or scarification, but with a precision that seemed impossible for conventional tools." | | 2 | "Quinn studied Eva's face, searching for deception and finding only earnest intensity." | | 3 | "But something else—the memory of Morris's face the night he vanished, the unsolved questions that had plagued her for three years—pushed her forward." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 7 | | fancyTags | | 0 | "Eva continued (continue)" | | 1 | "Eva murmured (murmur)" | | 2 | "Eva interrupted (interrupt)" | | 3 | "Eva explained (explain)" | | 4 | "Eva continued (continue)" | | 5 | "Eva added (add)" | | 6 | "Eva whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.438 | | effectiveRatio | 0.25 | |