| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 31 | | tagDensity | 0.419 | | leniency | 0.839 | | rawRatio | 0.077 | | effectiveRatio | 0.065 | |
| 88.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1797 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "really" |
| |
| 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) | |
| 66.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1797 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanning" | | 1 | "fractured" | | 2 | "gleaming" | | 3 | "echo" | | 4 | "footsteps" | | 5 | "streaming" | | 6 | "echoing" | | 7 | "electric" | | 8 | "calculated" | | 9 | "measured" |
| |
| 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 | 1 | | narrationSentences | 129 | | matches | | |
| 65.34% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 129 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1528 | | uniqueNames | 20 | | maxNameDensity | 0.92 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 3 | | Harlow | 1 | | Quinn | 14 | | Frith | 1 | | Street | 2 | | Herrera | 14 | | Raven | 1 | | Nest | 1 | | Greek | 1 | | Morris | 4 | | Victorian | 3 | | Veil | 1 | | Market | 1 | | Saint | 2 | | Christopher | 2 | | London | 1 | | Seville | 1 | | Laughter | 1 | | Tomás | 2 | | Know | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Greek" | | 5 | "London" | | 6 | "Seville" |
| | globalScore | 1 | | windowScore | 1 | |
| 1.19% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 5 | | matches | | 0 | "kind that seemed to swallow light rather than simply lacking it" | | 1 | "symbols that seemed to shift and writhe when she didn't look at them directly" | | 2 | "something like music, but wrong somehow" | | 3 | "melody that seemed to move in directions that melodies shouldn't go" | | 4 | "something between fear and resignation" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1784 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 29.25 | | std | 22.54 | | cv | 0.771 | | sampleLengths | | 0 | 68 | | 1 | 8 | | 2 | 67 | | 3 | 60 | | 4 | 54 | | 5 | 11 | | 6 | 50 | | 7 | 70 | | 8 | 13 | | 9 | 11 | | 10 | 37 | | 11 | 14 | | 12 | 30 | | 13 | 19 | | 14 | 44 | | 15 | 32 | | 16 | 6 | | 17 | 81 | | 18 | 53 | | 19 | 5 | | 20 | 3 | | 21 | 11 | | 22 | 55 | | 23 | 12 | | 24 | 63 | | 25 | 28 | | 26 | 3 | | 27 | 47 | | 28 | 5 | | 29 | 8 | | 30 | 72 | | 31 | 38 | | 32 | 14 | | 33 | 7 | | 34 | 33 | | 35 | 49 | | 36 | 34 | | 37 | 22 | | 38 | 34 | | 39 | 10 | | 40 | 34 | | 41 | 1 | | 42 | 52 | | 43 | 16 | | 44 | 30 | | 45 | 54 | | 46 | 31 | | 47 | 8 | | 48 | 5 | | 49 | 4 |
| |
| 91.66% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 129 | | matches | | 0 | "been pushed" | | 1 | "was met" | | 2 | "were covered" | | 3 | "been transformed" | | 4 | "being snuffed" |
| |
| 2.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 270 | | matches | | 0 | "was losing" | | 1 | "was sending" | | 2 | "was gaining" | | 3 | "was favoring" | | 4 | "wasn't struggling" | | 5 | "wasn't trying" | | 6 | "was seeing" | | 7 | "was shaking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 144 | | ratio | 0.083 | | matches | | 0 | "She caught glimpses of him between the late-night crowds spilling out of restaurants and clubs—young people who barely registered the chase happening around them, too absorbed in their phones and conversations to notice a man running for his life." | | 1 | "He was favoring his left side slightly—she noticed it in the way he took corners, compensating for something." | | 2 | "He glanced back—just once—and in the dim light from a service entrance, she saw something that made her blood run cold." | | 3 | "Below, Herrera was getting away—Herrera, who might be her best lead on the case she'd been building for three years." | | 4 | "The walls were covered in graffiti she didn't recognize—symbols that seemed to shift and writhe when she didn't look at them directly." | | 5 | "Quinn counted as she descended—a habit Morris had drilled into her during their first year as partners." | | 6 | "The walls here were old—Victorian, maybe older." | | 7 | "Not electric light—something warmer, flickering." | | 8 | "It was an underground station—she recognized the bones of it, the Victorian tile work, the curved ceiling." | | 9 | "She'd followed Herrera down here without one, which meant—" | | 10 | "Quinn became aware of eyes turning toward them—dozens of eyes, some the wrong color, some with pupils that didn't contract correctly in the dim light." | | 11 | "Quinn could see details now that she wished she couldn't—teeth that were too sharp, skin that was too smooth, eyes that reflected no light at all." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1546 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.03622250970245795 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.010996119016817595 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 12.39 | | std | 8.74 | | cv | 0.706 | | sampleLengths | | 0 | 15 | | 1 | 23 | | 2 | 30 | | 3 | 4 | | 4 | 4 | | 5 | 29 | | 6 | 38 | | 7 | 21 | | 8 | 39 | | 9 | 3 | | 10 | 20 | | 11 | 31 | | 12 | 11 | | 13 | 18 | | 14 | 12 | | 15 | 20 | | 16 | 3 | | 17 | 18 | | 18 | 4 | | 19 | 14 | | 20 | 8 | | 21 | 23 | | 22 | 13 | | 23 | 5 | | 24 | 2 | | 25 | 4 | | 26 | 30 | | 27 | 4 | | 28 | 3 | | 29 | 13 | | 30 | 1 | | 31 | 21 | | 32 | 5 | | 33 | 4 | | 34 | 19 | | 35 | 16 | | 36 | 18 | | 37 | 10 | | 38 | 16 | | 39 | 13 | | 40 | 3 | | 41 | 4 | | 42 | 2 | | 43 | 23 | | 44 | 4 | | 45 | 20 | | 46 | 34 | | 47 | 11 | | 48 | 20 | | 49 | 22 |
| |
| 54.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.375 | | totalSentences | 144 | | uniqueOpeners | 54 | |
| 86.21% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 116 | | matches | | 0 | "Then he disappeared down a" | | 1 | "Then the second." | | 2 | "Then she looked at Tomás" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 116 | | matches | | 0 | "She'd give him that." | | 1 | "He'd spotted her the moment" | | 2 | "She caught glimpses of him" | | 3 | "Her worn leather watch slapped" | | 4 | "She was gaining." | | 5 | "He was favoring his left" | | 6 | "He didn't slow down." | | 7 | "she shouted, more out of" | | 8 | "He glanced back—just once—and in" | | 9 | "She could hear Herrera's footsteps" | | 10 | "She reached for her radio," | | 11 | "She tried her mobile." | | 12 | "She took the first step." | | 13 | "She was at forty-seven steps" | | 14 | "Her torch beam caught glimpses" | | 15 | "She emerged onto a platform." | | 16 | "It was an underground station—she" | | 17 | "She'd heard whispers of it" | | 18 | "She didn't have a token." | | 19 | "She'd followed Herrera down here" |
| | ratio | 0.276 | |
| 63.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 116 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots slammed" | | 2 | "Tomás Herrera was fast." | | 3 | "She'd give him that." | | 4 | "He'd spotted her the moment" | | 5 | "The green neon from the" | | 6 | "She caught glimpses of him" | | 7 | "Quinn pushed harder." | | 8 | "Her worn leather watch slapped" | | 9 | "The rain had soaked through" | | 10 | "Herrera cut left onto Greek" | | 11 | "Quinn followed, her shoulder grazing" | | 12 | "The sounds of Soho nightlife" | | 13 | "She was gaining." | | 14 | "He was favoring his left" | | 15 | "An old injury, maybe." | | 16 | "The report she'd read mentioned" | | 17 | "The kind of circumstances that" | | 18 | "The people she suspected had" | | 19 | "Quinn shoved that thought down." |
| | ratio | 0.793 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 116 | | matches | | 0 | "Now he was fifty meters" | | 1 | "As if in answer, the" |
| | ratio | 0.017 | |
| 52.15% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 8 | | matches | | 0 | "The alley opened into a small courtyard behind a row of restaurants, industrial bins overflowing with refuse, kitchen staff on smoke breaks who scattered when t…" | | 1 | "He glanced back—just once—and in the dim light from a service entrance, she saw something that made her blood run cold." | | 2 | "The case that had started with Morris's death and had led her through a labyrinth of dead ends, sealed files, and witnesses who seemed to forget everything the …" | | 3 | "Her torch beam caught glimpses of pipes and cables that shouldn't have existed in the same space, technology from different eras coexisting in a way that made h…" | | 4 | "A supernatural black market that moved locations with the lunar cycle, accessible only to those who possessed a bone token." | | 5 | "Quinn became aware of eyes turning toward them—dozens of eyes, some the wrong color, some with pupils that didn't contract correctly in the dim light." | | 6 | "Quinn could see details now that she wished she couldn't—teeth that were too sharp, skin that was too smooth, eyes that reflected no light at all." | | 7 | "Then she looked at Tomás Herrera, at the Saint Christopher medallion around his neck, at the scar on his forearm that spoke of violence survived." |
| |
| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady despite the hammering of her heart" |
| |
| 53.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "he whispered (whisper)" | | 2 | "she demanded (demand)" |
| | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.333 | | effectiveRatio | 0.194 | |