| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2079 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "very" | | 1 | "reluctantly" | | 2 | "softly" | | 3 | "really" |
| |
| 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) | |
| 49.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2079 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "reminder" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "pulse" | | 5 | "chaotic" | | 6 | "flickered" | | 7 | "vibrated" | | 8 | "familiar" | | 9 | "gleaming" | | 10 | "etched" | | 11 | "determined" | | 12 | "could feel" | | 13 | "stomach" | | 14 | "dance" | | 15 | "charged" | | 16 | "jaw clenched" |
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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 | 177 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 177 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 183 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2079 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 66 | | wordCount | 1912 | | uniqueNames | 18 | | maxNameDensity | 1.2 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 23 | | Raven | 1 | | Nest | 1 | | Herrera | 18 | | Morris | 5 | | Camden | 2 | | Veil | 2 | | Market | 2 | | Northern | 1 | | Line | 1 | | Saint | 1 | | Christopher | 1 | | Underground | 1 | | Seville | 1 | | London | 1 | | Water | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Camden" | | 6 | "Market" | | 7 | "Line" | | 8 | "Saint" | | 9 | "Christopher" | | 10 | "Water" |
| | places | | 0 | "Soho" | | 1 | "Seville" | | 2 | "London" |
| | globalScore | 0.899 | | windowScore | 1 | |
| 19.40% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 134 | | glossingSentenceCount | 7 | | matches | | 0 | "smelled like the same rot that had swallow" | | 1 | "felt like walking into a different atmo" | | 2 | "looked like a habitual gesture for luck" | | 3 | "As if hearing her, Herrera chose the center tunnel" | | 4 | "seemed impossibly distant" | | 5 | "something like this" | | 6 | "felt like a memory and the truth waited" |
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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 | 2079 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 183 | | matches | | |
| 90.79% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 59.4 | | std | 27.79 | | cv | 0.468 | | sampleLengths | | 0 | 91 | | 1 | 83 | | 2 | 95 | | 3 | 77 | | 4 | 74 | | 5 | 76 | | 6 | 4 | | 7 | 75 | | 8 | 94 | | 9 | 3 | | 10 | 90 | | 11 | 6 | | 12 | 86 | | 13 | 34 | | 14 | 45 | | 15 | 72 | | 16 | 65 | | 17 | 72 | | 18 | 13 | | 19 | 62 | | 20 | 90 | | 21 | 66 | | 22 | 86 | | 23 | 88 | | 24 | 48 | | 25 | 61 | | 26 | 27 | | 27 | 60 | | 28 | 71 | | 29 | 64 | | 30 | 60 | | 31 | 55 | | 32 | 52 | | 33 | 30 | | 34 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 177 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 342 | | matches | | 0 | "weren't just smuggling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 183 | | ratio | 0.011 | | matches | | 0 | "A couple staggered out of a doorway; she shoved past them without apology." | | 1 | "The clique's crimes weren't just smuggling or assault; they reeked of something deeper, something that smelled like the same rot that had swallowed Morris three years ago." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1924 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Former paramedic turned supernatural medic." |
| | adverbCount | 60 | | adverbRatio | 0.031185031185031187 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.011434511434511435 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 183 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 183 | | mean | 11.36 | | std | 7.44 | | cv | 0.655 | | sampleLengths | | 0 | 14 | | 1 | 26 | | 2 | 17 | | 3 | 14 | | 4 | 2 | | 5 | 18 | | 6 | 6 | | 7 | 25 | | 8 | 13 | | 9 | 39 | | 10 | 4 | | 11 | 14 | | 12 | 3 | | 13 | 14 | | 14 | 17 | | 15 | 13 | | 16 | 3 | | 17 | 27 | | 18 | 3 | | 19 | 13 | | 20 | 6 | | 21 | 3 | | 22 | 1 | | 23 | 13 | | 24 | 23 | | 25 | 3 | | 26 | 12 | | 27 | 13 | | 28 | 11 | | 29 | 4 | | 30 | 9 | | 31 | 9 | | 32 | 13 | | 33 | 4 | | 34 | 11 | | 35 | 3 | | 36 | 17 | | 37 | 17 | | 38 | 2 | | 39 | 10 | | 40 | 8 | | 41 | 5 | | 42 | 5 | | 43 | 9 | | 44 | 4 | | 45 | 13 | | 46 | 17 | | 47 | 18 | | 48 | 9 | | 49 | 14 |
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| 52.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3333333333333333 | | totalSentences | 183 | | uniqueOpeners | 61 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 172 | | matches | | 0 | "Instead he cut left onto" | | 1 | "Then came another sound, a" | | 2 | "Perhaps the rain and her" | | 3 | "Instead he continued forward with" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 172 | | matches | | 0 | "She had recognized the posture" | | 1 | "Her breath came sharp and" | | 2 | "Her left wrist ached where" | | 3 | "He didn't slow." | | 4 | "He was tiring." | | 5 | "She could hear her own" | | 6 | "She'd heard rumors about the" | | 7 | "Her hand brushed the grip" | | 8 | "She chose to follow." | | 9 | "Her salt-and-pepper hair, cropped close" | | 10 | "She watched him slip through" | | 11 | "His left forearm, marked by" | | 12 | "She couldn't lose him." | | 13 | "She kept moving, eyes tracking" | | 14 | "He moved with purpose, clearly" | | 15 | "She felt exposed, her bearing" | | 16 | "Her watch felt heavier on" | | 17 | "She thought of Morris, of" | | 18 | "She had never believed it." | | 19 | "He glanced left, then right," |
| | ratio | 0.221 | |
| 35.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 146 | | totalSentences | 172 | | matches | | 0 | "Detective Harlow Quinn sprinted after" | | 1 | "The suspect had burst from" | | 2 | "She had recognized the posture" | | 3 | "The off-the-books medic who patched" | | 4 | "Her breath came sharp and" | | 5 | "Water streamed down her face," | | 6 | "A couple staggered out of" | | 7 | "Her left wrist ached where" | | 8 | "Herrera glanced back once." | | 9 | "He didn't slow." | | 10 | "Quinn followed, lungs burning, the" | | 11 | "This one did." | | 12 | "The clique's crimes weren't just" | | 13 | "The street narrowed." | | 14 | "Herrera's footsteps echoed ahead, irregular" | | 15 | "He was tiring." | | 16 | "Quinn pushed harder, military precision" | | 17 | "She could hear her own" | | 18 | "This wasn't official." | | 19 | "This was her, alone, chasing" |
| | ratio | 0.849 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 172 | | matches | | 0 | "Even at distance, Quinn caught" | | 1 | "As if hearing her, Herrera" |
| | ratio | 0.012 | |
| 36.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 94 | | technicalSentenceCount | 14 | | matches | | 0 | "Detective Harlow Quinn sprinted after the hooded figure, her boots splashing through puddles that reflected the sickly green glow of the Raven's Nest sign behin…" | | 1 | "The off-the-books medic who patched up the very clique she had spent six months building a case against." | | 2 | "Water streamed down her face, blurring the edges of her vision, but she kept her eyes locked on the dark shape weaving through late-night pedestrians." | | 3 | "The clique's crimes weren't just smuggling or assault; they reeked of something deeper, something that smelled like the same rot that had swallowed Morris three…" | | 4 | "She could hear her own pulse hammering in her ears, drowning out the distant wail of sirens that would never arrive in time." | | 5 | "She'd heard rumors about the Veil Market, whispers from informants who clammed up the moment she pressed." | | 6 | "An underground black market that shifted with the full moon, reachable only with some kind of token." | | 7 | "Emergency lights flickered orange, casting long shadows that danced across peeling posters advertising bands long broken up." | | 8 | "Lanterns swung from chains, their light an unnatural violet that made her eyes water." | | 9 | "Two men argued over a crate of enchanted bullets that whispered when touched." | | 10 | "She thought of Morris, of the way his last transmission had cut off mid-sentence, something about shadows that moved wrong." | | 11 | "The tunnel opened into a vast chamber, the abandoned station transformed into a bazaar that defied geometry." | | 12 | "Water still dripped from both of them, creating small puddles that reflected the market's impossible lights." | | 13 | "She could hear whispers from within, voices speaking languages that twisted in her ears." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |