| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1150 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 65.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1150 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "electric" | | 4 | "stomach" | | 5 | "weight" | | 6 | "flickered" |
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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 | 73 | | matches | (empty) | |
| 84.15% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1142 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 882 | | uniqueNames | 10 | | maxNameDensity | 1.81 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 16 | | Raven | 1 | | Nest | 1 | | Chinese | 1 | | British | 1 | | Eastern | 1 | | European | 1 | | Morris | 2 | | Underground | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Morris" |
| | places | | | globalScore | 0.593 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a larger space" |
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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 | 1142 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 24.3 | | std | 18.34 | | cv | 0.755 | | sampleLengths | | 0 | 70 | | 1 | 33 | | 2 | 45 | | 3 | 44 | | 4 | 9 | | 5 | 59 | | 6 | 51 | | 7 | 54 | | 8 | 15 | | 9 | 21 | | 10 | 9 | | 11 | 11 | | 12 | 10 | | 13 | 15 | | 14 | 17 | | 15 | 16 | | 16 | 9 | | 17 | 8 | | 18 | 22 | | 19 | 5 | | 20 | 47 | | 21 | 52 | | 22 | 5 | | 23 | 44 | | 24 | 31 | | 25 | 17 | | 26 | 3 | | 27 | 12 | | 28 | 75 | | 29 | 6 | | 30 | 34 | | 31 | 5 | | 32 | 19 | | 33 | 37 | | 34 | 15 | | 35 | 26 | | 36 | 2 | | 37 | 10 | | 38 | 17 | | 39 | 28 | | 40 | 36 | | 41 | 29 | | 42 | 15 | | 43 | 16 | | 44 | 20 | | 45 | 13 | | 46 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 69.28% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 153 | | matches | | 0 | "was dropping" | | 1 | "were running" | | 2 | "weren't still pinning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 92 | | ratio | 0.076 | | matches | | 0 | "The smell hit her first—rotting vegetables and stagnant water from overflowing bins." | | 1 | "They looked up, and even in the dim light she caught something wrong with the proportions of their face—too narrow, eyes set too far apart." | | 2 | "The walls pressed close, and the smell changed—wet earth and something chemical underneath, sharp enough to sting her nostrils." | | 3 | "Not British—something Eastern European, maybe." | | 4 | "Quinn counted them—four sets retreating, one set approaching the door." | | 5 | "The tunnel opened into something vast—an old Underground platform, by the look of the curved ceiling and the remnants of signage." | | 6 | "The woman smoothed down her jacket—a fitted leather thing that looked older than Quinn—and studied her with those unsettling eyes." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 892 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 30 | | adverbRatio | 0.033632286995515695 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004484304932735426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 12.41 | | std | 8.25 | | cv | 0.665 | | sampleLengths | | 0 | 17 | | 1 | 22 | | 2 | 31 | | 3 | 16 | | 4 | 17 | | 5 | 8 | | 6 | 8 | | 7 | 12 | | 8 | 17 | | 9 | 10 | | 10 | 15 | | 11 | 19 | | 12 | 7 | | 13 | 2 | | 14 | 18 | | 15 | 25 | | 16 | 16 | | 17 | 3 | | 18 | 12 | | 19 | 2 | | 20 | 19 | | 21 | 15 | | 22 | 23 | | 23 | 5 | | 24 | 6 | | 25 | 20 | | 26 | 7 | | 27 | 3 | | 28 | 5 | | 29 | 21 | | 30 | 9 | | 31 | 6 | | 32 | 5 | | 33 | 10 | | 34 | 2 | | 35 | 2 | | 36 | 11 | | 37 | 17 | | 38 | 3 | | 39 | 13 | | 40 | 9 | | 41 | 8 | | 42 | 1 | | 43 | 11 | | 44 | 10 | | 45 | 5 | | 46 | 20 | | 47 | 16 | | 48 | 11 | | 49 | 52 |
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| 71.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.45652173913043476 | | totalSentences | 92 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 67 | | matches | | 0 | "Then they were running again," | | 1 | "More than one." | | 2 | "Somewhere in the market, someone" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 67 | | matches | | 0 | "She'd been sitting in her" | | 1 | "She rounded a corner and" | | 2 | "She shoved through the gap," | | 3 | "They looked up, and even" | | 4 | "Her footsteps echoed, and so" | | 5 | "She didn't stop to read" | | 6 | "She heard voices on the" | | 7 | "His voice had an edge" | | 8 | "She gripped her warrant card" | | 9 | "She had seconds to decide." | | 10 | "She looked at Quinn with" | | 11 | "They cast a cold, blue-white" |
| | ratio | 0.179 | |
| 57.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 67 | | matches | | 0 | "Harlow Quinn sprinted past the" | | 1 | "She'd been sitting in her" | | 2 | "The figure cut left down" | | 3 | "Quinn followed, her boots skidding" | | 4 | "The smell hit her first—rotting" | | 5 | "She rounded a corner and" | | 6 | "She shoved through the gap," | | 7 | "Steam rose from metal vents," | | 8 | "A clang of metal from" | | 9 | "The hooded figure was dropping" | | 10 | "They looked up, and even" | | 11 | "Quinn gave chase." | | 12 | "The doorway led to a" | | 13 | "The walls pressed close, and" | | 14 | "Her footsteps echoed, and so" | | 15 | "The stairs levelled out into" | | 16 | "She didn't stop to read" | | 17 | "The corridor terminated at another" | | 18 | "She heard voices on the" | | 19 | "The suspect had stopped running." |
| | ratio | 0.806 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Now the boredom had evaporated" |
| | ratio | 0.015 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "She'd been sitting in her car watching the bar for two hours before the suspect emerged." | | 1 | "Now the boredom had evaporated into something sharper, something that made her pulse pound against her throat." | | 2 | "She looked at Quinn with pale grey eyes that caught the light from somewhere deeper in the space behind her, and she smiled with too many teeth." | | 3 | "They cast a cold, blue-white glow that made everything look underwater." | | 4 | "The woman smoothed down her jacket—a fitted leather thing that looked older than Quinn—and studied her with those unsettling eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "The woman laughed (laugh)" |
| | dialogueSentences | 23 | | tagDensity | 0.043 | | leniency | 0.087 | | rawRatio | 1 | | effectiveRatio | 0.087 | |