| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1148 | | totalAiIsmAdverbs | 2 | | 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) | |
| 78.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1148 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "efficient" | | 1 | "footsteps" | | 2 | "raced" | | 3 | "database" | | 4 | "pulsed" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 987 | | uniqueNames | 16 | | maxNameDensity | 1.62 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 2 | | Quinn | 16 | | Tomás | 4 | | Herrera | 8 | | Frith | 1 | | Street | 3 | | Saint | 1 | | Christopher | 1 | | Raven | 1 | | Nest | 1 | | Dean | 1 | | Greek | 1 | | Victorian | 1 | | Morris | 2 | | Three | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Raven" | | 7 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Dean" | | 4 | "Greek" |
| | globalScore | 0.689 | | windowScore | 0.667 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like ozone and copper when she'd g" | | 1 | "quite place—incense and iron, vanilla and something bitter like burnt almonds" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.877 | | wordCount | 1140 | | matches | | 0 | "not gang tags or modern graffiti, but something older, something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 33.53 | | std | 19.83 | | cv | 0.592 | | sampleLengths | | 0 | 63 | | 1 | 79 | | 2 | 13 | | 3 | 53 | | 4 | 48 | | 5 | 51 | | 6 | 46 | | 7 | 73 | | 8 | 46 | | 9 | 63 | | 10 | 44 | | 11 | 49 | | 12 | 50 | | 13 | 9 | | 14 | 9 | | 15 | 37 | | 16 | 32 | | 17 | 3 | | 18 | 20 | | 19 | 39 | | 20 | 6 | | 21 | 13 | | 22 | 8 | | 23 | 18 | | 24 | 19 | | 25 | 30 | | 26 | 49 | | 27 | 24 | | 28 | 35 | | 29 | 28 | | 30 | 13 | | 31 | 23 | | 32 | 26 | | 33 | 21 |
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| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "been carved" | | 1 | "was plastered" | | 2 | "being hidden" |
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| 74.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 159 | | matches | | 0 | "was running" | | 1 | "was gaining" | | 2 | "was making" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 103 | | ratio | 0.058 | | matches | | 0 | "Quinn checked for traffic—a black cab, a night bus—and sprinted across the road after him." | | 1 | "Her military training gave her an edge that natural talent couldn't match—controlled breathing, efficient stride, the ability to push past the body's protests." | | 2 | "The blue glow grew stronger as she descended, and with it came a smell she couldn't quite place—incense and iron, vanilla and something bitter like burnt almonds." | | 3 | "Strange symbols had been carved into them—not gang tags or modern graffiti, but something older, something that made her eyes hurt if she looked too long." | | 4 | "No, not music exactly—chanting maybe, or singing in a language Quinn didn't recognize." | | 5 | "That strange smell grew stronger—now she could pick out individual notes." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 995 | | adjectiveStacks | 1 | | stackExamples | | 0 | "distinctive green neon-lit entrance" |
| | adverbCount | 27 | | adverbRatio | 0.027135678391959798 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011055276381909548 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.07 | | std | 7.22 | | cv | 0.653 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 21 | | 3 | 7 | | 4 | 18 | | 5 | 29 | | 6 | 25 | | 7 | 13 | | 8 | 14 | | 9 | 9 | | 10 | 19 | | 11 | 11 | | 12 | 9 | | 13 | 13 | | 14 | 11 | | 15 | 15 | | 16 | 10 | | 17 | 9 | | 18 | 18 | | 19 | 8 | | 20 | 3 | | 21 | 3 | | 22 | 19 | | 23 | 4 | | 24 | 23 | | 25 | 17 | | 26 | 7 | | 27 | 15 | | 28 | 34 | | 29 | 3 | | 30 | 19 | | 31 | 9 | | 32 | 15 | | 33 | 16 | | 34 | 20 | | 35 | 27 | | 36 | 9 | | 37 | 18 | | 38 | 5 | | 39 | 12 | | 40 | 4 | | 41 | 10 | | 42 | 9 | | 43 | 26 | | 44 | 6 | | 45 | 14 | | 46 | 11 | | 47 | 16 | | 48 | 2 | | 49 | 1 |
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| 68.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.4854368932038835 | | totalSentences | 103 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 85 | | matches | | 0 | "Officially, he was just a" | | 1 | "Instead, he vaulted over a" | | 2 | "Then she took another step" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 85 | | matches | | 0 | "Her lungs burned, but eighteen" | | 1 | "She'd been staking out The" | | 2 | "Her voice cut through the" | | 3 | "He turned sharply into an" | | 4 | "She emerged onto Dean Street" | | 5 | "He was running flat out" | | 6 | "His olive skin gleamed with" | | 7 | "It was terror." | | 8 | "Her military training gave her" | | 9 | "She didn't believe it would" | | 10 | "He didn't answer." | | 11 | "She took the stairs three" | | 12 | "He stood fifty feet down" | | 13 | "His curly dark hair was" | | 14 | "he said between breaths" | | 15 | "She took a step forward." | | 16 | "He straightened up, one hand" | | 17 | "He stopped himself, seemed to" | | 18 | "He said the name like" | | 19 | "His hand gripped the strap" |
| | ratio | 0.259 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 85 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots pounded" | | 2 | "Quinn put on a burst" | | 3 | "Her lungs burned, but eighteen" | | 4 | "She'd been staking out The" | | 5 | "Her voice cut through the" | | 6 | "He turned sharply into an" | | 7 | "Quinn followed, her right hand" | | 8 | "The alley was narrow, barely" | | 9 | "Herrera's silhouette moved against the" | | 10 | "She emerged onto Dean Street" | | 11 | "He was running flat out" | | 12 | "His olive skin gleamed with" | | 13 | "Quinn checked for traffic—a black" | | 14 | "Morris had been chasing a" | | 15 | "The official report said heart" | | 16 | "The expression frozen there wasn't" | | 17 | "It was terror." | | 18 | "Herrera hooked right onto Greek" | | 19 | "Quinn was gaining ground." |
| | ratio | 0.706 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 51.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 5 | | matches | | 0 | "She'd been staking out The Raven's Nest for three weeks, watching the flow of people who entered through that distinctive green neon-lit entrance and never emer…" | | 1 | "But bureaucratic irregularities didn't explain why he was making house calls at midnight with a bag full of supplies that smelled like ozone and copper when she…" | | 2 | "Instead, he vaulted over a low railing and disappeared down a set of stairs that led below street level." | | 3 | "Strange symbols had been carved into them—not gang tags or modern graffiti, but something older, something that made her eyes hurt if she looked too long." | | 4 | "The witnesses who'd seen him chasing someone into an alley and found him dead fifteen minutes later with no marks on his body except old scars from his years in…" |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn kept, professional" | | 1 | "He stopped, seemed to choose his words carefully" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0 | | effectiveRatio | 0 | |