| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured around [around]" |
| | dialogueSentences | 21 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.111 | | effectiveRatio | 0.095 | |
| 83.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1208 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "cautiously" | | 2 | "suddenly" | | 3 | "very" |
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| 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) | |
| 13.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1208 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "casual indifference" | | count | 1 |
| | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "intensity" | | 1 | "familiar" | | 2 | "weight" | | 3 | "footfall" | | 4 | "treacherous" | | 5 | "flicker" | | 6 | "navigating" | | 7 | "silence" | | 8 | "chill" | | 9 | "standard" | | 10 | "gleaming" | | 11 | "pulsed" | | 12 | "flickered" | | 13 | "gloom" | | 14 | "casual indifference" | | 15 | "eyebrow" | | 16 | "scanning" | | 17 | "predator" | | 18 | "solitary" | | 19 | "enigmatic" |
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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 | 108 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | 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 | 1208 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1048 | | uniqueNames | 18 | | maxNameDensity | 1.15 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 12 | | Quinn | 1 | | Raven | 1 | | Nest | 1 | | Met | 2 | | Morris | 1 | | Soho | 1 | | Camden | 2 | | Lock | 1 | | London | 2 | | Victorian | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | European | 1 | | Spanish | 1 | | Tomás | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Tomás" |
| | places | | 0 | "Met" | | 1 | "Soho" | | 2 | "Camden" | | 3 | "London" | | 4 | "Victorian" | | 5 | "Market" |
| | globalScore | 0.927 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1208 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 25.7 | | std | 17.98 | | cv | 0.699 | | sampleLengths | | 0 | 57 | | 1 | 12 | | 2 | 3 | | 3 | 69 | | 4 | 45 | | 5 | 33 | | 6 | 41 | | 7 | 42 | | 8 | 48 | | 9 | 40 | | 10 | 5 | | 11 | 9 | | 12 | 1 | | 13 | 4 | | 14 | 50 | | 15 | 5 | | 16 | 4 | | 17 | 46 | | 18 | 4 | | 19 | 8 | | 20 | 48 | | 21 | 38 | | 22 | 36 | | 23 | 11 | | 24 | 42 | | 25 | 20 | | 26 | 8 | | 27 | 39 | | 28 | 11 | | 29 | 16 | | 30 | 24 | | 31 | 6 | | 32 | 27 | | 33 | 11 | | 34 | 21 | | 35 | 21 | | 36 | 18 | | 37 | 31 | | 38 | 29 | | 39 | 9 | | 40 | 39 | | 41 | 36 | | 42 | 33 | | 43 | 16 | | 44 | 18 | | 45 | 8 | | 46 | 66 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 108 | | matches | | |
| 88.27% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 179 | | matches | | 0 | "was weaving" | | 1 | "was doing" | | 2 | "was going" |
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| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 120 | | ratio | 0.042 | | matches | | 0 | "She risked a glance at her watch – worn leather, a gift from her late partner, DS Morris – 11:47 PM." | | 1 | "The man in tweed fumbled with something at the door - a small, intricately carved token." | | 2 | "The air spilling from the opening was different – dry, almost stale, with an undertone she couldn’t quite place." | | 3 | "Her watch face glinted in the dim light – 12:03 AM." | | 4 | "And this lead—this terrifying, improbable lead—led straight into the heart of the darkness." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1048 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.033396946564885496 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012404580152671756 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 10.07 | | std | 5.84 | | cv | 0.58 | | sampleLengths | | 0 | 20 | | 1 | 26 | | 2 | 11 | | 3 | 12 | | 4 | 3 | | 5 | 14 | | 6 | 15 | | 7 | 9 | | 8 | 21 | | 9 | 10 | | 10 | 16 | | 11 | 7 | | 12 | 22 | | 13 | 12 | | 14 | 12 | | 15 | 3 | | 16 | 1 | | 17 | 5 | | 18 | 12 | | 19 | 10 | | 20 | 9 | | 21 | 10 | | 22 | 7 | | 23 | 19 | | 24 | 16 | | 25 | 16 | | 26 | 12 | | 27 | 20 | | 28 | 2 | | 29 | 19 | | 30 | 1 | | 31 | 1 | | 32 | 17 | | 33 | 5 | | 34 | 6 | | 35 | 3 | | 36 | 1 | | 37 | 4 | | 38 | 11 | | 39 | 9 | | 40 | 8 | | 41 | 4 | | 42 | 12 | | 43 | 5 | | 44 | 1 | | 45 | 5 | | 46 | 4 | | 47 | 9 | | 48 | 15 | | 49 | 22 |
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| 63.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4166666666666667 | | totalSentences | 120 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 100 | | matches | | 0 | "Too late for this sort" | | 1 | "Instead, she saw a descending" | | 2 | "Then, a constellation of lights" | | 3 | "Suddenly, a muffled shout cut" |
| | ratio | 0.04 | |
| 64.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 100 | | matches | | 0 | "He moved with a desperate" | | 1 | "she called, her voice swallowed" | | 2 | "He didn’t slow." | | 3 | "She risked a glance at" | | 4 | "He veered sharply right, cutting" | | 5 | "She pushed through the throng," | | 6 | "He was weaving through the" | | 7 | "He ducked under a low-hanging" | | 8 | "She expected a dead end," | | 9 | "It was an oddity, jarringly" | | 10 | "It was bone, she realized," | | 11 | "He pressed it into a" | | 12 | "She approached cautiously, leveling her" | | 13 | "Her hand tightened on the" | | 14 | "She could radio for backup," | | 15 | "She moved through the doorway." | | 16 | "It was a market." | | 17 | "Her watch face glinted in" | | 18 | "He wore a simple white" | | 19 | "he said, his voice smooth," |
| | ratio | 0.39 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 100 | | matches | | 0 | "Rain lashed at Harlow Quinn’s" | | 1 | "The suspect, a nervous man" | | 2 | "He moved with a desperate" | | 3 | "she called, her voice swallowed" | | 4 | "He didn’t slow." | | 5 | "Harlow adjusted her grip on" | | 6 | "The rain slicked the pavement," | | 7 | "She risked a glance at" | | 8 | "He veered sharply right, cutting" | | 9 | "Harlow followed, her boots splashing" | | 10 | "The alley opened onto a" | | 11 | "She pushed through the throng," | | 12 | "He was weaving through the" | | 13 | "Harlow’s gut tightened." | | 14 | "That couldn’t be a coincidence." | | 15 | "He ducked under a low-hanging" | | 16 | "The air immediately grew colder," | | 17 | "She expected a dead end," | | 18 | "A flicker of movement at" | | 19 | "A single, bare bulb cast" |
| | ratio | 0.84 | |
| 50.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 100 | | matches | | 0 | "Even if it meant stepping" |
| | ratio | 0.01 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "He moved with a desperate intensity that contradicted his unassuming appearance." | | 1 | "A man, tall and lean, with warm brown eyes that assessed her with unnerving calm." | | 2 | "She took a step forward, pushing past a cloaked figure who recoiled at her touch." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "He shrugged, a gesture of casual indifference" | | 1 | "she said, her voice low and hard" |
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| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow pressed (press)" | | 1 | "a raspy voice whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.286 | | effectiveRatio | 0.19 | |