| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "Quinn turned away [away]" |
| | dialogueSentences | 56 | | tagDensity | 0.411 | | leniency | 0.821 | | rawRatio | 0.087 | | effectiveRatio | 0.071 | |
| 94.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1737 | | totalAiIsmAdverbs | 2 | | 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) | |
| 71.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1737 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "stomach" | | 1 | "oppressive" | | 2 | "warmth" | | 3 | "scanning" | | 4 | "pulse" | | 5 | "database" | | 6 | "could feel" | | 7 | "tracing" | | 8 | "familiar" | | 9 | "resolve" |
| |
| 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 | 84 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1729 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1124 | | uniqueNames | 10 | | maxNameDensity | 1.87 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | District | 1 | | Line | 1 | | Patel | 7 | | Metropolitan | 1 | | Police | 1 | | Callahan | 5 | | Manchester | 1 | | Morris | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Police" | | 4 | "Callahan" | | 5 | "Morris" |
| | places | | 0 | "District" | | 1 | "Line" | | 2 | "Metropolitan" | | 3 | "Manchester" |
| | globalScore | 0.566 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed almost familiar but refused to resolve into meaning" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1729 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 32.62 | | std | 23.57 | | cv | 0.723 | | sampleLengths | | 0 | 84 | | 1 | 3 | | 2 | 55 | | 3 | 54 | | 4 | 7 | | 5 | 66 | | 6 | 69 | | 7 | 3 | | 8 | 37 | | 9 | 58 | | 10 | 11 | | 11 | 57 | | 12 | 48 | | 13 | 6 | | 14 | 57 | | 15 | 5 | | 16 | 46 | | 17 | 31 | | 18 | 4 | | 19 | 58 | | 20 | 6 | | 21 | 32 | | 22 | 5 | | 23 | 3 | | 24 | 46 | | 25 | 9 | | 26 | 3 | | 27 | 39 | | 28 | 49 | | 29 | 44 | | 30 | 5 | | 31 | 81 | | 32 | 31 | | 33 | 51 | | 34 | 12 | | 35 | 61 | | 36 | 68 | | 37 | 25 | | 38 | 22 | | 39 | 16 | | 40 | 56 | | 41 | 54 | | 42 | 30 | | 43 | 45 | | 44 | 1 | | 45 | 7 | | 46 | 36 | | 47 | 4 | | 48 | 25 | | 49 | 12 |
| |
| 92.73% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 84 | | matches | | 0 | "been buttoned" | | 1 | "were folded" | | 2 | "been sealed" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 214 | | matches | | 0 | "were screaming" | | 1 | "was chasing" | | 2 | "was looking" | | 3 | "was indulging" | | 4 | "was looking" | | 5 | "was giving" | | 6 | "were waking" |
| |
| 20.76% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 117 | | ratio | 0.043 | | matches | | 0 | "Quinn followed, her shoulders brushing against the peeling promotional posters that still clung to the tunnel walls—models hawking holidays to places that no longer existed, their smiles yellowed by time and moisture." | | 1 | "She paused near the center, crouching to examine a section of tile that caught the light differently—slightly lighter than its neighbors, almost like a discoloration." | | 2 | "In her experience, death was messy—it leaked and bled and left traces." | | 3 | "The token would be key—she could feel it, the way she always felt the moment when a case began to shift from puzzle to trap." | | 4 | "Quinn intended to change that—or die trying, which was, she reflected grimly, the family business." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1132 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03268551236749117 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01060070671378092 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 14.78 | | std | 9.43 | | cv | 0.638 | | sampleLengths | | 0 | 33 | | 1 | 21 | | 2 | 30 | | 3 | 3 | | 4 | 23 | | 5 | 32 | | 6 | 20 | | 7 | 20 | | 8 | 7 | | 9 | 7 | | 10 | 7 | | 11 | 20 | | 12 | 16 | | 13 | 30 | | 14 | 11 | | 15 | 26 | | 16 | 17 | | 17 | 15 | | 18 | 3 | | 19 | 21 | | 20 | 16 | | 21 | 20 | | 22 | 22 | | 23 | 16 | | 24 | 11 | | 25 | 18 | | 26 | 15 | | 27 | 24 | | 28 | 8 | | 29 | 12 | | 30 | 3 | | 31 | 25 | | 32 | 6 | | 33 | 14 | | 34 | 28 | | 35 | 3 | | 36 | 12 | | 37 | 5 | | 38 | 19 | | 39 | 27 | | 40 | 22 | | 41 | 9 | | 42 | 4 | | 43 | 4 | | 44 | 10 | | 45 | 12 | | 46 | 4 | | 47 | 2 | | 48 | 12 | | 49 | 14 |
| |
| 73.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4827586206896552 | | totalSentences | 116 | | uniqueOpeners | 56 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "Instead, she walked back to" |
| | ratio | 0.013 | |
| 62.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 76 | | matches | | 0 | "His hands were folded across" | | 1 | "His eyes were open, staring" | | 2 | "He'd been working homicides for" | | 3 | "She studied the man's face," | | 4 | "His expression held something closer" | | 5 | "Her torchlight caught the edges" | | 6 | "She walked the platform's length," | | 7 | "She paused near the center," | | 8 | "He appeared at her shoulder" | | 9 | "They weren't random." | | 10 | "She could see the deliberate" | | 11 | "She stood, wiping her hands" | | 12 | "Her torch examined the ground" | | 13 | "He hesitated, clearly weighing whether" | | 14 | "She respected that, most of" | | 15 | "He was competent enough, but" | | 16 | "He stopped beside the body," | | 17 | "He straightened, surveying the platform" | | 18 | "She thought of DS Morris," | | 19 | "She looked back at the" |
| | ratio | 0.395 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 76 | | matches | | 0 | "The ambulance lights painted the" | | 1 | "Detective Harlow Quinn ducked beneath" | | 2 | "The District Line hadn't run" | | 3 | "DC Patel emerged from the" | | 4 | "Quinn followed, her shoulders brushing" | | 5 | "The body lay near the" | | 6 | "His hands were folded across" | | 7 | "His eyes were open, staring" | | 8 | "Patel consulted his notebook, though" | | 9 | "He'd been working homicides for" | | 10 | "Quinn crouched beside the body," | | 11 | "She studied the man's face," | | 12 | "His expression held something closer" | | 13 | "Patel's torch shifted, illuminating the" | | 14 | "Quinn straightened, scanning the platform" | | 15 | "Her torchlight caught the edges" | | 16 | "Quinn turned, sweeping her torch" | | 17 | "The tracks ran parallel, separated" | | 18 | "Nothing seemed out of place," | | 19 | "She walked the platform's length," |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 11 | | matches | | 0 | "The ambulance lights painted the tunnel entrance in alternating shades of red and white, washing out the faces of the uniforms who had been standing vigil since…" | | 1 | "Quinn followed, her shoulders brushing against the peeling promotional posters that still clung to the tunnel walls—models hawking holidays to places that no lo…" | | 2 | "The body lay near the edge of the platform, positioned with an almost ceremonial precision that made Quinn's stomach tighten." | | 3 | "Male, mid-thirties perhaps, dressed in a dark overcoat that had been buttoned to the throat despite the underground's oppressive warmth." | | 4 | "His expression held something closer to surprise, as though he'd encountered something he hadn't expected." | | 5 | "She paused near the center, crouching to examine a section of tile that caught the light differently—slightly lighter than its neighbors, almost like a discolor…" | | 6 | "The beam illuminated a pattern in the tiles that hadn't been visible before: faint lines scratched into the grout, forming a rough circle with symbols Quinn did…" | | 7 | "He was competent enough, but he had a habit of appearing at moments that served his interests rather than the investigation's." | | 8 | "She looked back at the body, at the peaceful expression on the dead man's face, at the folded hands that seemed almost to be waiting." | | 9 | "The markings on the floor gleamed faintly in the peripheral light, catching her eye at an angle that made them visible again." | | 10 | "She crouched, tracing the lines with her eyes, trying to decode the shapes that seemed almost familiar but refused to resolve into meaning." |
| |
| 59.78% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn kept, though her pulse had begun to quicken" | | 1 | "He stopped, his expression thoughtful" | | 2 | "Quinn turned away, her mind already cataloging the details that didn't fit" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Callahan's tone suggested (suggest)" |
| | dialogueSentences | 56 | | tagDensity | 0.089 | | leniency | 0.179 | | rawRatio | 0.2 | | effectiveRatio | 0.036 | |