| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1468 | | 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) | |
| 55.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1468 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "whisper" | | 2 | "footsteps" | | 3 | "shimmered" | | 4 | "flicker" | | 5 | "scanning" | | 6 | "velvet" | | 7 | "flickered" | | 8 | "gleaming" | | 9 | "pounding" | | 10 | "pulse" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "blood went cold" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 120 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 120 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1461 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1229 | | uniqueNames | 12 | | maxNameDensity | 1.87 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 23 | | Sauer | 1 | | King | 1 | | Cross | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Female | 1 | | Young | 2 | | One | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "King" | | 3 | "Cross" | | 4 | "One" |
| | places | | | globalScore | 0.564 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 1 | | matches | | 0 | "rags that seemed to move on their own, trailing shadows like living things" |
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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 | 1461 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 28.1 | | std | 21.33 | | cv | 0.759 | | sampleLengths | | 0 | 38 | | 1 | 45 | | 2 | 57 | | 3 | 65 | | 4 | 2 | | 5 | 46 | | 6 | 32 | | 7 | 31 | | 8 | 59 | | 9 | 5 | | 10 | 53 | | 11 | 10 | | 12 | 59 | | 13 | 6 | | 14 | 7 | | 15 | 77 | | 16 | 21 | | 17 | 19 | | 18 | 33 | | 19 | 2 | | 20 | 60 | | 21 | 16 | | 22 | 46 | | 23 | 14 | | 24 | 43 | | 25 | 19 | | 26 | 6 | | 27 | 65 | | 28 | 8 | | 29 | 27 | | 30 | 17 | | 31 | 41 | | 32 | 39 | | 33 | 9 | | 34 | 53 | | 35 | 8 | | 36 | 40 | | 37 | 5 | | 38 | 7 | | 39 | 25 | | 40 | 4 | | 41 | 65 | | 42 | 48 | | 43 | 13 | | 44 | 10 | | 45 | 44 | | 46 | 13 | | 47 | 11 | | 48 | 24 | | 49 | 6 |
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| 99.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 120 | | matches | | 0 | "been torn" | | 1 | "were carved" |
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| 49.17% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 221 | | matches | | 0 | "was screaming" | | 1 | "was standing" | | 2 | "was arranging" | | 3 | "was haggling" | | 4 | "was pounding" |
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| 12.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 131 | | ratio | 0.046 | | matches | | 0 | "The pattern was always the same—a series of art thefts from private collections, each one more audacious than the last, and each one leaving behind a trace of something that made Quinn's instincts prickle." | | 1 | "The air changed—turned cold and still, carrying the smell of damp stone, old rot, and something else." | | 2 | "She'd heard whispers about it during her years on the force—rumours passed between officers who worked the night shifts, muttered confessions from informants who'd seen too much." | | 3 | "Figures moved between the stalls—some dressed in rain-soaked coats like her, others in robes that shimmered with an impossible iridescence, still more in rags that seemed to move on their own, trailing shadows like living things." | | 4 | "Quinn caught a face—sharp cheekbones, hollow eyes, a mouth set in a thin line—before the figure turned and ducked behind a draped curtain that led deeper into the market." | | 5 | "A hand reached out from a stall, fingers brushing her sleeve—scaly, cold, not human." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1240 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02258064516129032 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00564516129032258 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 11.15 | | std | 9.07 | | cv | 0.813 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 16 | | 3 | 29 | | 4 | 7 | | 5 | 8 | | 6 | 34 | | 7 | 8 | | 8 | 24 | | 9 | 17 | | 10 | 2 | | 11 | 3 | | 12 | 7 | | 13 | 12 | | 14 | 2 | | 15 | 11 | | 16 | 18 | | 17 | 17 | | 18 | 11 | | 19 | 17 | | 20 | 1 | | 21 | 1 | | 22 | 2 | | 23 | 5 | | 24 | 26 | | 25 | 11 | | 26 | 11 | | 27 | 5 | | 28 | 26 | | 29 | 6 | | 30 | 5 | | 31 | 7 | | 32 | 15 | | 33 | 13 | | 34 | 18 | | 35 | 10 | | 36 | 3 | | 37 | 27 | | 38 | 17 | | 39 | 2 | | 40 | 2 | | 41 | 8 | | 42 | 4 | | 43 | 2 | | 44 | 7 | | 45 | 6 | | 46 | 36 | | 47 | 15 | | 48 | 20 | | 49 | 3 |
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| 53.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.366412213740458 | | totalSentences | 131 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 102 | | matches | | 0 | "She'd been tracking this one" | | 1 | "She shoved the gate open" | | 2 | "She took the stairs slowly," | | 3 | "Her heart hammered against her" | | 4 | "She'd chased killers through tower" | | 5 | "She'd learned to trust her" | | 6 | "Her gut was screaming now." | | 7 | "She'd heard whispers about it" | | 8 | "She'd never believed it." | | 9 | "She kept her gun low," | | 10 | "She crossed the chamber with" | | 11 | "She ignored him." | | 12 | "She jerked away, her gun" | | 13 | "She was exposed." | | 14 | "It was a brittle sound," | | 15 | "She turned and ran." | | 16 | "They burst into a wide" | | 17 | "She turned, breathing hard, but" | | 18 | "Her hand was steady, but" | | 19 | "She looked at the woman." |
| | ratio | 0.225 | |
| 23.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 102 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn ran hard," | | 2 | "Quinn caught a flash of" | | 3 | "Quinn's breath came in sharp" | | 4 | "She'd been tracking this one" | | 5 | "The pattern was always the" | | 6 | "Something that didn't fit the" | | 7 | "The steps led down into" | | 8 | "Quinn pressed herself against the" | | 9 | "The rain hissed." | | 10 | "Water gurgled in a drain" | | 11 | "The alley dead-ended at a" | | 12 | "She shoved the gate open" | | 13 | "The air changed—turned cold and" | | 14 | "Quinn clicked on her torch." | | 15 | "The beam cut a narrow" | | 16 | "She took the stairs slowly," | | 17 | "Her heart hammered against her" | | 18 | "She'd chased killers through tower" | | 19 | "She'd learned to trust her" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "The pattern was always the same—a series of art thefts from private collections, each one more audacious than the last, and each one leaving behind a trace of s…" | | 1 | "The steps led down into a service alley, lined with overflowing dumpsters and a single flickering sodium light that buzzed like an angry insect." | | 2 | "She'd chased killers through tower blocks, drug runners through council estates, and once, a man who'd gutted his own mother through the sewers beneath King's C…" | | 3 | "Flickering lanterns hung from the curved ceiling, casting pools of amber light that didn't reach the far walls." | | 4 | "Figures moved between the stalls—some dressed in rain-soaked coats like her, others in robes that shimmered with an impossible iridescence, still more in rags t…" | | 5 | "A vendor with too many fingers was arranging jars filled with something that glowed green." | | 6 | "Quinn caught a face—sharp cheekbones, hollow eyes, a mouth set in a thin line—before the figure turned and ducked behind a draped curtain that led deeper into t…" | | 7 | "Symbols were carved into the floor around it, spiralling outward in patterns that made Quinn's eyes ache." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice flat" | | 1 | "The woman tilted, her cat's eyes gleaming" | | 2 | "the woman continued, her voice dropping to a whisper," |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the woman continued (continue)" |
| | dialogueSentences | 18 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.333 | | effectiveRatio | 0.111 | |