| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1901 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "sharply" | | 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) | |
| 68.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1901 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "fractured" | | 1 | "sinister" | | 2 | "silence" | | 3 | "pulse" | | 4 | "velvet" | | 5 | "down her spine" | | 6 | "flickered" | | 7 | "familiar" | | 8 | "could feel" | | 9 | "weight" | | 10 | "reminder" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 141 | | matches | (empty) | |
| 82.07% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 141 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1888 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 1821 | | uniqueNames | 27 | | maxNameDensity | 1.04 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 19 | | Met | 1 | | Raven | 1 | | Nest | 1 | | Herrera | 15 | | Saint | 2 | | Christopher | 2 | | Old | 1 | | Compton | 1 | | Street | 2 | | Morris | 4 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Camden | 2 | | High | 1 | | Tube | 1 | | Veil | 1 | | Market | 2 | | Glock | 3 | | English | 1 | | Spanish | 1 | | Tomás | 2 | | London | 1 | | One | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Market" | | 8 | "Glock" | | 9 | "Tomás" | | 10 | "One" |
| | places | | 0 | "Soho" | | 1 | "Old" | | 2 | "Compton" | | 3 | "Street" | | 4 | "Charing" | | 5 | "Cross" | | 6 | "Road" | | 7 | "Camden" | | 8 | "High" | | 9 | "London" |
| | globalScore | 0.978 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 118 | | glossingSentenceCount | 4 | | matches | | 0 | "something like awe and terror, saying the sh" | | 1 | "looked like dried sinew" | | 2 | "smelled like cinnamon and blood" | | 3 | "something close to fear" |
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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 | 1888 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 146 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 51.03 | | std | 27.47 | | cv | 0.538 | | sampleLengths | | 0 | 96 | | 1 | 85 | | 2 | 9 | | 3 | 81 | | 4 | 88 | | 5 | 48 | | 6 | 71 | | 7 | 66 | | 8 | 74 | | 9 | 49 | | 10 | 85 | | 11 | 96 | | 12 | 60 | | 13 | 17 | | 14 | 66 | | 15 | 94 | | 16 | 79 | | 17 | 74 | | 18 | 64 | | 19 | 55 | | 20 | 37 | | 21 | 27 | | 22 | 2 | | 23 | 20 | | 24 | 25 | | 25 | 15 | | 26 | 33 | | 27 | 56 | | 28 | 38 | | 29 | 52 | | 30 | 52 | | 31 | 29 | | 32 | 36 | | 33 | 9 | | 34 | 35 | | 35 | 60 | | 36 | 5 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 141 | | matches | | 0 | "was swallowed" | | 1 | "was daubed" | | 2 | "been explained" | | 3 | "been erected" | | 4 | "been made" | | 5 | "been cancelled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 308 | | matches | | 0 | "was running" | | 1 | "were herding" | | 2 | "were moving" | | 3 | "was showing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 3 | | flaggedSentences | 11 | | totalSentences | 146 | | ratio | 0.075 | | matches | | 0 | "Her worn leather watch slid against her wrist as her arms pumped; the second hand kept its steady tick, indifferent to the chase." | | 1 | "Quinn’s own shoes slipped once; she caught herself on a brick wall, the rough surface scraping her palm." | | 2 | "The file still read “missing, presumed dead.” The unreported details—the things that had bled through the cracks of reality—still woke her at night." | | 3 | "The streets smelled of wet stone, fried onions from a lone kebab van, and something sharper underneath—ozone, maybe, or the copper tang that sometimes preceded the things she refused to name." | | 4 | "Quinn’s legs ached; the years sat heavier on her than she liked to admit." | | 5 | "The figure—a woman with silver rings through her nose—stepped aside." | | 6 | "A crude symbol was daubed on the wall beside the stairs—a circle bisected by a jagged line." | | 7 | "The clique Herrera served—the one she had spent eighteen months building files on—operated in places like this." | | 8 | "In its place rose a low murmur of voices speaking languages that hurt to hear—half English, half something older." | | 9 | "Every instinct screamed that she did not belong here, that the rules she understood—evidence, procedure, backup—meant nothing in this place." | | 10 | "Eyes—some human, some not—turned toward the confrontation unfolding on the abandoned platform." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 57 | | adverbRatio | 0.030944625407166124 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.00760043431053203 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 12.93 | | std | 7.11 | | cv | 0.55 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 16 | | 3 | 15 | | 4 | 18 | | 5 | 7 | | 6 | 10 | | 7 | 2 | | 8 | 31 | | 9 | 14 | | 10 | 21 | | 11 | 9 | | 12 | 5 | | 13 | 23 | | 14 | 22 | | 15 | 17 | | 16 | 3 | | 17 | 5 | | 18 | 6 | | 19 | 15 | | 20 | 18 | | 21 | 4 | | 22 | 18 | | 23 | 23 | | 24 | 10 | | 25 | 19 | | 26 | 10 | | 27 | 11 | | 28 | 8 | | 29 | 15 | | 30 | 14 | | 31 | 11 | | 32 | 31 | | 33 | 4 | | 34 | 22 | | 35 | 14 | | 36 | 26 | | 37 | 22 | | 38 | 3 | | 39 | 3 | | 40 | 26 | | 41 | 5 | | 42 | 15 | | 43 | 10 | | 44 | 18 | | 45 | 21 | | 46 | 7 | | 47 | 12 | | 48 | 17 | | 49 | 3 |
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| 65.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4178082191780822 | | totalSentences | 146 | | uniqueOpeners | 61 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 135 | | matches | | 0 | "Instead, a faint amber glow" | | 1 | "Then she started down the" | | 2 | "Somewhere deeper in the tunnels," |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 135 | | matches | | 0 | "Her closely cropped salt-and-pepper hair" | | 1 | "He was running before she" | | 2 | "Her worn leather watch slid" | | 3 | "She didn’t shout." | | 4 | "He cut left into a" | | 5 | "She would not lose another" | | 6 | "His breath came in visible" | | 7 | "He plunged into the warren" | | 8 | "She had heard the name" | | 9 | "She stood at the top" | | 10 | "Her hand rested on the" | | 11 | "She drew a slow breath" | | 12 | "They swayed though there was" | | 13 | "Her senses strained in every" | | 14 | "She spotted Herrera twenty metres" | | 15 | "His curly head bobbed between" | | 16 | "She followed, boots silent on" | | 17 | "Her pulse thudded in her" | | 18 | "She was so focused on" | | 19 | "Her sharp jaw tightened." |
| | ratio | 0.23 | |
| 67.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 135 | | matches | | 0 | "The rain lashed Soho like" | | 1 | "Detective Harlow Quinn kept to" | | 2 | "Water streamed off the brim" | | 3 | "Her closely cropped salt-and-pepper hair" | | 4 | "The door of the bar" | | 5 | "A man slipped out, collar" | | 6 | "A Saint Christopher medallion glinted" | | 7 | "He was running before she" | | 8 | "Quinn broke into a sprint." | | 9 | "Her worn leather watch slid" | | 10 | "Herrera’s feet slapped through puddles" | | 11 | "Quinn followed, lungs burning in" | | 12 | "She didn’t shout." | | 13 | "Shouting gave the target choices." | | 14 | "He cut left into a" | | 15 | "Quinn’s own shoes slipped once;" | | 16 | "Pain sharpened her focus." | | 17 | "The file still read The" | | 18 | "She would not lose another" | | 19 | "Herrera emerged onto Charing Cross" |
| | ratio | 0.785 | |
| 74.07% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 135 | | matches | | 0 | "Even at a distance Quinn" | | 1 | "If she walked away now," |
| | ratio | 0.015 | |
| 52.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 87 | | technicalSentenceCount | 11 | | matches | | 0 | "Detective Harlow Quinn kept to the shadows of the opposite pavement, her shoulders squared with the military precision that had served her for eighteen years on…" | | 1 | "Even at a distance Quinn recognized the short curly dark brown hair, the olive skin, the way he moved like someone who had once carried bodies down stairwells f…" | | 2 | "Herrera’s feet slapped through puddles on Old Compton Street, kicking up silver spray that fractured the reflections of red and blue signs." | | 3 | "Still she closed the gap, brown eyes locked on the sway of his jacket, on the medallion that bounced against his chest whenever he glanced back." | | 4 | "Herrera disappeared down a flight of concrete stairs that should have led only to abandoned platforms and rats." | | 5 | "Instead, a faint amber glow rose from below, accompanied by smells that did not belong underground: myrrh, scorched herbs, hot metal." | | 6 | "An underground bazaar that moved every full moon, selling what the normal world had wisely outlawed." | | 7 | "In its place rose a low murmur of voices speaking languages that hurt to hear—half English, half something older." | | 8 | "She spotted Herrera twenty metres ahead, weaving through the crowd with the ease of someone who knew the layout." | | 9 | "A woman with skin like polished obsidian offered her a stoppered flask of something that swirled with miniature lightning." | | 10 | "His hand moved toward the scar on his forearm as though it itched." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.25 | | effectiveRatio | 0.182 | |