| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1326 | | 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) | |
| 35.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1326 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "facade" | | 1 | "scanned" | | 2 | "footsteps" | | 3 | "silence" | | 4 | "echoing" | | 5 | "flicker" | | 6 | "shimmered" | | 7 | "warmth" | | 8 | "could feel" | | 9 | "silk" | | 10 | "sanctuary" | | 11 | "loomed" | | 12 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 121 | | matches | (empty) | |
| 72.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 121 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1326 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 1 | | matches | | 0 | "The clique, they called themselves." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1162 | | uniqueNames | 15 | | maxNameDensity | 1.03 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Archer | 1 | | Street | 2 | | Harlow | 1 | | Quinn | 12 | | Denmark | 1 | | London | 2 | | Shoreditch | 1 | | Mayfair | 1 | | Vauxhall | 1 | | Morris | 4 | | Paradise | 1 | | Lost | 1 | | Blitz | 1 | | Police | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Tube" |
| | places | | 0 | "Archer" | | 1 | "Street" | | 2 | "Denmark" | | 3 | "London" | | 4 | "Shoreditch" | | 5 | "Mayfair" | | 6 | "Vauxhall" |
| | globalScore | 0.984 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 8 | | matches | | 0 | "network that seemed to touch every corner of London's underground, from the clubs in Shoreditch to the old money families in Mayfair" | | 1 | "something like this" | | 2 | "seemed almost deliberate" | | 3 | "ivy that seemed to move in ways the wind couldn't explain" | | 4 | "Eyes that seemed to follow her" | | 5 | "seemed wrong for torches" | | 6 | "looked like preserved eyes" | | 7 | "symbols that seemed to writhe at the edges of her vision" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.754 | | wordCount | 1326 | | matches | | 0 | "not for the entrance but deeper into the market, crashing through a curtain of beads" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 24.11 | | std | 22 | | cv | 0.912 | | sampleLengths | | 0 | 52 | | 1 | 23 | | 2 | 5 | | 3 | 86 | | 4 | 76 | | 5 | 7 | | 6 | 60 | | 7 | 5 | | 8 | 1 | | 9 | 29 | | 10 | 8 | | 11 | 53 | | 12 | 5 | | 13 | 61 | | 14 | 22 | | 15 | 26 | | 16 | 3 | | 17 | 4 | | 18 | 14 | | 19 | 2 | | 20 | 51 | | 21 | 47 | | 22 | 42 | | 23 | 11 | | 24 | 39 | | 25 | 21 | | 26 | 2 | | 27 | 60 | | 28 | 61 | | 29 | 38 | | 30 | 3 | | 31 | 7 | | 32 | 4 | | 33 | 24 | | 34 | 3 | | 35 | 48 | | 36 | 13 | | 37 | 24 | | 38 | 12 | | 39 | 3 | | 40 | 12 | | 41 | 7 | | 42 | 32 | | 43 | 10 | | 44 | 57 | | 45 | 14 | | 46 | 39 | | 47 | 4 | | 48 | 4 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 202 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 132 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1165 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.024892703862660945 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017167381974248926 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 10.05 | | std | 7.79 | | cv | 0.775 | | sampleLengths | | 0 | 24 | | 1 | 28 | | 2 | 1 | | 3 | 9 | | 4 | 13 | | 5 | 5 | | 6 | 4 | | 7 | 21 | | 8 | 5 | | 9 | 23 | | 10 | 20 | | 11 | 1 | | 12 | 3 | | 13 | 9 | | 14 | 8 | | 15 | 21 | | 16 | 7 | | 17 | 4 | | 18 | 17 | | 19 | 19 | | 20 | 7 | | 21 | 15 | | 22 | 15 | | 23 | 30 | | 24 | 2 | | 25 | 3 | | 26 | 1 | | 27 | 15 | | 28 | 6 | | 29 | 8 | | 30 | 5 | | 31 | 3 | | 32 | 15 | | 33 | 30 | | 34 | 2 | | 35 | 6 | | 36 | 5 | | 37 | 8 | | 38 | 18 | | 39 | 14 | | 40 | 9 | | 41 | 6 | | 42 | 6 | | 43 | 5 | | 44 | 17 | | 45 | 3 | | 46 | 23 | | 47 | 1 | | 48 | 2 | | 49 | 3 |
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| 67.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4393939393939394 | | totalSentences | 132 | | uniqueOpeners | 58 | |
| 97.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 103 | | matches | | 0 | "Somewhere above, a car alarm" | | 1 | "Then she heard voices ahead." | | 2 | "Further in, behind a curtain" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 103 | | matches | | 0 | "She'd watched men and women" | | 1 | "She'd lost her partner to" | | 2 | "She wasn't going to lose" | | 3 | "Her watch ticked against her" | | 4 | "She drew her weapon and" | | 5 | "She thought of Morris's notes." | | 6 | "Her radio crackled." | | 7 | "She tried again." | | 8 | "She clicked on her torch," | | 9 | "She passed a landing where" | | 10 | "She moved along the platform" | | 11 | "She turned off her torch" | | 12 | "She stopped at the edge" | | 13 | "He was speaking to a" | | 14 | "He ran not for the" | | 15 | "she demanded, grabbing the arm" | | 16 | "She raised her weapon, aiming" | | 17 | "She thought of Morris." | | 18 | "His stubborn faith in her." | | 19 | "She thought of the bone" |
| | ratio | 0.204 | |
| 47.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 103 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "A figure in a dark" | | 3 | "Quinn broke into a sprint." | | 4 | "The clique, they called themselves." | | 5 | "A network that seemed to" | | 6 | "She'd watched men and women" | | 7 | "She'd lost her partner to" | | 8 | "DS Morris, three years gone," | | 9 | "The official report called it" | | 10 | "A mental health crisis." | | 11 | "The handwriting grew more erratic" | | 12 | "She wasn't going to lose" | | 13 | "The figure ahead ducked into" | | 14 | "Quinn followed, her boots splashing" | | 15 | "The alley opened onto a" | | 16 | "Her watch ticked against her" | | 17 | "Morris had given her that" | | 18 | "The last gift, two weeks" | | 19 | "A sound to her left." |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "The handwriting grew more erratic toward the end, the words looping and spiraling into patterns that seemed almost deliberate." | | 1 | "Quinn followed, her boots splashing through puddles that reflected the orange glow of a streetlamp." | | 2 | "The alley opened onto a courtyard, surrounded by buildings that predated the Blitz, their facades crumbling and draped in ivy that seemed to move in ways the wi…" | | 3 | "Further in, behind a curtain of dried herbs, a figure sat cross-legged, surrounded by books that floated a foot off the ground, their pages turning themselves." | | 4 | "The crowd parted around her, shrinking back, their whispers hissing in her ears." | | 5 | "The arch loomed ahead, carved into the station's original brickwork, its lintel inscribed with symbols that seemed to writhe at the edges of her vision." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "The figure leaned, its breath cold against her face" |
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| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 1 | | effectiveRatio | 0.125 | |