| 50.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said slowly [slowly]" | | 1 | "she said finally [finally]" | | 2 | "Herrera said softly [softly]" |
| | dialogueSentences | 40 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.15 | | effectiveRatio | 0.15 | |
| 87.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1645 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "slowly" |
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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) | |
| 69.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1645 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "wavered" | | 1 | "familiar" | | 2 | "uncanny" | | 3 | "pulse" | | 4 | "otherworldly" | | 5 | "dancing" | | 6 | "fleeting" | | 7 | "processed" | | 8 | "reminder" | | 9 | "profound" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
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| | highlights | | 0 | "heart hammered in her chest" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 6 | | narrationSentences | 83 | | 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 | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1655 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1225 | | uniqueNames | 19 | | maxNameDensity | 1.55 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 19 | | Oxford | 1 | | Street | 1 | | Herrera | 13 | | Raven | 1 | | Nest | 1 | | Soho | 2 | | London | 4 | | Morris | 3 | | Tube | 1 | | Camden | 1 | | Town | 1 | | Saint | 1 | | Christopher | 1 | | Underground | 1 | | Detective | 2 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Underground" | | 7 | "Market" |
| | places | | 0 | "Oxford" | | 1 | "Street" | | 2 | "Raven" | | 3 | "Soho" | | 4 | "London" | | 5 | "Camden" | | 6 | "Town" | | 7 | "Veil" |
| | globalScore | 0.724 | | windowScore | 0.5 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "sign that seemed to tempt every miscreant in London" | | 1 | "something like reverence" | | 2 | "something between spherical lanterns and floati" | | 3 | "books that seemed to write themselves" |
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| 18.73% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.813 | | wordCount | 1655 | | matches | | 0 | "not from exertion but from the familiar rage" | | 1 | "not for the time, but for the small, ritualized sigil she'd put on the back" | | 2 | "not in triumph, but in something like reverence" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 35.21 | | std | 21.8 | | cv | 0.619 | | sampleLengths | | 0 | 56 | | 1 | 82 | | 2 | 56 | | 3 | 75 | | 4 | 84 | | 5 | 55 | | 6 | 5 | | 7 | 58 | | 8 | 50 | | 9 | 36 | | 10 | 20 | | 11 | 50 | | 12 | 56 | | 13 | 49 | | 14 | 25 | | 15 | 28 | | 16 | 31 | | 17 | 3 | | 18 | 36 | | 19 | 35 | | 20 | 2 | | 21 | 51 | | 22 | 8 | | 23 | 40 | | 24 | 22 | | 25 | 44 | | 26 | 8 | | 27 | 23 | | 28 | 76 | | 29 | 48 | | 30 | 36 | | 31 | 3 | | 32 | 19 | | 33 | 2 | | 34 | 30 | | 35 | 23 | | 36 | 31 | | 37 | 19 | | 38 | 29 | | 39 | 58 | | 40 | 16 | | 41 | 24 | | 42 | 12 | | 43 | 12 | | 44 | 61 | | 45 | 23 | | 46 | 45 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 83 | | matches | | |
| 64.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 197 | | matches | | 0 | "was leading" | | 1 | "wasn't running" | | 2 | "were doing" | | 3 | "was fighting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 103 | | ratio | 0.087 | | matches | | 0 | "Tomás Herrera had been on her watch for months – a ghost in the city's underbelly, rumored to provide..." | | 1 | "The city she'd sworn to protect operated on two levels – the visible one for humans and the invisible one for creatures that moved in their shadows." | | 2 | "She knew better than to rush in headfirst – a lesson she'd learned on cases where her training had been insufficient against uncanny abilities." | | 3 | "Her hand rested on the leather watch at her left wrist, not for the time, but for the small, ritualized sigil she'd put on the back – a personal ward her sister had insisted she wear after Morris's death." | | 4 | "He glanced back over his shoulder, and in that brief moment of eye contact, Quinn knew he wasn't running from her – he was leading her somewhere." | | 5 | "What remained of the sign was partially visible – Camden Town, though part of the writing had naturally flaked away." | | 6 | "Figures moved in the shadows – not humans exactly, something else." | | 7 | "A haze of different races – supernatural beings others had dismissed as fantasy or fable or horror – were doing business here." | | 8 | "The figures in the darkness any person would have dismissed as tricks of the eye flowed around pedestals holding items that defied physics and reason – weapons forged from lightning, vials of starlight, books that seemed to write themselves." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 935 | | adjectiveStacks | 1 | | stackExamples | | 0 | "insufficient against uncanny abilities." |
| | adverbCount | 33 | | adverbRatio | 0.03529411764705882 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.019251336898395723 | |
| 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 | 16.07 | | std | 10.1 | | cv | 0.628 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 21 | | 3 | 15 | | 4 | 19 | | 5 | 1 | | 6 | 7 | | 7 | 40 | | 8 | 10 | | 9 | 23 | | 10 | 23 | | 11 | 32 | | 12 | 27 | | 13 | 16 | | 14 | 12 | | 15 | 9 | | 16 | 24 | | 17 | 39 | | 18 | 22 | | 19 | 12 | | 20 | 21 | | 21 | 5 | | 22 | 27 | | 23 | 16 | | 24 | 15 | | 25 | 7 | | 26 | 19 | | 27 | 24 | | 28 | 9 | | 29 | 27 | | 30 | 11 | | 31 | 9 | | 32 | 16 | | 33 | 21 | | 34 | 13 | | 35 | 20 | | 36 | 13 | | 37 | 23 | | 38 | 10 | | 39 | 18 | | 40 | 21 | | 41 | 16 | | 42 | 9 | | 43 | 6 | | 44 | 22 | | 45 | 31 | | 46 | 3 | | 47 | 12 | | 48 | 24 | | 49 | 7 |
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| 73.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47572815533980584 | | totalSentences | 103 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 74 | | matches | | 0 | "Her salt-and-pepper hair, usually maintained" | | 1 | "she shouted, though the night" | | 2 | "Her heart hammered in her" | | 3 | "She knew better than to" | | 4 | "Her hand rested on the" | | 5 | "He glanced back over his" | | 6 | "He continued his descent into" | | 7 | "She had chases through sewers" | | 8 | "Her police radio crackled with" | | 9 | "His Saint Christopher medallion gleamed" | | 10 | "She saw the gleam of" | | 11 | "She pocketed her discharge weapon." | | 12 | "she said slowly, her voice" | | 13 | "She adjusted the leather watch" | | 14 | "Her clothes were soaked through," | | 15 | "she said finally" | | 16 | "she said, stepping forward into" |
| | ratio | 0.23 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 74 | | matches | | 0 | "Rain slashed down in sheets," | | 1 | "Detective Harlow Quinn ignored the" | | 2 | "Her salt-and-pepper hair, usually maintained" | | 3 | "The suspect zipped around the" | | 4 | "Tomás Herrera had been on" | | 5 | "Tonight, she'd finally gotten her" | | 6 | "she shouted, though the night" | | 7 | "The crowds on the pedestrian" | | 8 | "Her heart hammered in her" | | 9 | "The city she'd sworn to" | | 10 | "Herrera might be the key" | | 11 | "Quinn rounded the corner just" | | 12 | "The security gate hung ajar," | | 13 | "She knew better than to" | | 14 | "Her hand rested on the" | | 15 | "The rain had finally washed" | | 16 | "Quinn crept forward, her boots" | | 17 | "He glanced back over his" | | 18 | "The corners of his mouth" | | 19 | "He continued his descent into" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 6.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 9 | | matches | | 0 | "Tonight, she'd finally gotten her hands on him, thanks to a surveillance tail that had started following him from The Raven's Nest, that shifty bar in Soho with…" | | 1 | "Herrera might be the key to unlocking the secrets that had claimed her partner, DS Morris." | | 2 | "His Saint Christopher medallion gleamed around his neck, a fake token of faith for a man who operated outside conventional morality." | | 3 | "Quinn had heard whispers of black markets that moved through abandoned spaces in the city, but she'd never been certain they were real or urban myth woven into …" | | 4 | "The final case details were classified, sealed under national security pretexts by bureaucratic superiors who knew more than they let on." | | 5 | "The detective in her screamed to call for backup, but the rookie who had found her partner's dried blood under the fingernails of what was supposedly just a gra…" | | 6 | "She adjusted the leather watch on her wrist, feeling the coolness of the metal and imagining the invisible sigil that had protected her when nothing else would." | | 7 | "The figures in the darkness any person would have dismissed as tricks of the eye flowed around pedestals holding items that defied physics and reason – weapons …" | | 8 | "And with that, Detective Harlow Quinn followed her target deeper into the Veil Market, leaving behind the rain-slicked streets of London and stepping into a dar…" |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "she shouted, though the night swallowed the words" | | 1 | "The dispatcher's voice sounded, distant" | | 2 | "she said slowly, her voice steady despite the maelstrom in her chest," |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 11 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Quinn whispered (whisper)" | | 2 | "Quinn barked (bark)" | | 3 | "she demanded (demand)" | | 4 | "Quinn snapped (snap)" | | 5 | "Herrera confirmed (confirm)" | | 6 | "she whispered (whisper)" | | 7 | "Herrera warned (warn)" | | 8 | "he explained (explain)" | | 9 | "Herrera admitted (admit)" | | 10 | "he pressed (press)" |
| | dialogueSentences | 40 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.611 | | effectiveRatio | 0.55 | |