| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Herrera said quietly [quietly]" |
| | dialogueSentences | 27 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.111 | | effectiveRatio | 0.074 | |
| 94.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 984 | | 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) | |
| 84.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 984 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "streaming" | | 1 | "footsteps" | | 2 | "pulse" |
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| 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 | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 977 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 651 | | uniqueNames | 12 | | maxNameDensity | 0.77 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Charing | 1 | | Cross | 1 | | Road | 1 | | Harlow | 1 | | Quinn | 4 | | Turkish | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 1 | | Tube | 2 | | London | 1 | | Herrera | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" | | 5 | "Tube" | | 6 | "Herrera" |
| | places | | 0 | "Charing" | | 1 | "Cross" | | 2 | "Road" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 2 | | matches | | 0 | "something like bone" | | 1 | "something like pity crossed his face" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 977 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 27.14 | | std | 20.03 | | cv | 0.738 | | sampleLengths | | 0 | 38 | | 1 | 2 | | 2 | 7 | | 3 | 43 | | 4 | 26 | | 5 | 43 | | 6 | 16 | | 7 | 12 | | 8 | 60 | | 9 | 32 | | 10 | 6 | | 11 | 31 | | 12 | 18 | | 13 | 6 | | 14 | 53 | | 15 | 14 | | 16 | 17 | | 17 | 5 | | 18 | 70 | | 19 | 11 | | 20 | 20 | | 21 | 2 | | 22 | 32 | | 23 | 78 | | 24 | 38 | | 25 | 30 | | 26 | 8 | | 27 | 40 | | 28 | 40 | | 29 | 11 | | 30 | 22 | | 31 | 3 | | 32 | 53 | | 33 | 47 | | 34 | 3 | | 35 | 40 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 105 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 74 | | ratio | 0.095 | | matches | | 0 | "A face the missing-persons file had lied about—older now, harder." | | 1 | "Something about the alley felt wrong—colder than the rain explained, the street noise behind her dropping away like a radio turned down." | | 2 | "He pulled a chain from under his shirt and shook something loose from it—a small white token, bone or something like bone." | | 3 | "Not stopped—gone, as though she'd stepped out of the weather and into a different century." | | 4 | "She killed the torch anyway, and the dark swallowed the stairs, and she descended by sound alone—his footsteps, the drip of water, her own pulse loud in her ears." | | 5 | "An abandoned Tube platform stretched into distance on both sides, longer than any station in London, hung with lanterns that burned a colour she had no name for—somewhere between green and gold." | | 6 | "His grip on her arm tightened, not threatening—urgent." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 662 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.022658610271903322 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0075528700906344415 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 13.2 | | std | 10.74 | | cv | 0.813 | | sampleLengths | | 0 | 16 | | 1 | 22 | | 2 | 2 | | 3 | 4 | | 4 | 3 | | 5 | 37 | | 6 | 1 | | 7 | 1 | | 8 | 4 | | 9 | 15 | | 10 | 11 | | 11 | 5 | | 12 | 25 | | 13 | 3 | | 14 | 10 | | 15 | 11 | | 16 | 5 | | 17 | 12 | | 18 | 4 | | 19 | 34 | | 20 | 22 | | 21 | 10 | | 22 | 22 | | 23 | 6 | | 24 | 10 | | 25 | 21 | | 26 | 3 | | 27 | 10 | | 28 | 5 | | 29 | 6 | | 30 | 25 | | 31 | 28 | | 32 | 14 | | 33 | 17 | | 34 | 3 | | 35 | 2 | | 36 | 17 | | 37 | 15 | | 38 | 32 | | 39 | 3 | | 40 | 3 | | 41 | 6 | | 42 | 5 | | 43 | 4 | | 44 | 16 | | 45 | 2 | | 46 | 3 | | 47 | 29 | | 48 | 11 | | 49 | 32 |
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| 95.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6081081081081081 | | totalSentences | 74 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 52 | | matches | | 0 | "She kept her eyes on" | | 1 | "It sped up." | | 2 | "she shouted, and this time" | | 3 | "He looked back at her." | | 4 | "he called back, breath ragged" | | 5 | "She closed the gap." | | 6 | "He bolted again, cutting left" | | 7 | "He pulled a chain from" | | 8 | "He glanced over his shoulder," | | 9 | "He turned the token over" | | 10 | "She drew her baton instead" | | 11 | "He pressed the token against" | | 12 | "He went through." | | 13 | "Her torch beam caught movement" | | 14 | "He didn't answer." | | 15 | "She killed the torch anyway," | | 16 | "He steered her with a" | | 17 | "His grip on her arm" | | 18 | "He pulled her toward a" | | 19 | "She followed his glance." |
| | ratio | 0.385 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 52 | | matches | | 0 | "The rain came sideways off" | | 1 | "She kept her eyes on" | | 2 | "The hood didn't stop." | | 3 | "It sped up." | | 4 | "Quinn cut through the gap" | | 5 | "she shouted, and this time" | | 6 | "He looked back at her." | | 7 | "A face the missing-persons file" | | 8 | "he called back, breath ragged" | | 9 | "She closed the gap." | | 10 | "He bolted again, cutting left" | | 11 | "Something about the alley felt" | | 12 | "Herrera stopped at a metal" | | 13 | "He pulled a chain from" | | 14 | "He glanced over his shoulder," | | 15 | "Quinn's jaw tightened." | | 16 | "The file on DS Morris" | | 17 | "He turned the token over" | | 18 | "She drew her baton instead" | | 19 | "He pressed the token against" |
| | ratio | 0.846 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | 0 | "Even at forty metres, Quinn" |
| | ratio | 0.019 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "Stairs descended ahead of her, old Tube tiling cracked and weeping damp, the roundels on the wall reading a station name that had never existed on any map she'd…" | | 1 | "Crates of bottles glowing faintly, cages with things moving inside them that she refused to look at directly, a woman at the far end weighing dust that hummed." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "he called back (call back)" | | 2 | "He pressed (press)" |
| | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |