| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1363 | | 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) | |
| 66.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1363 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "reminder" | | 2 | "glint" | | 3 | "mechanical" | | 4 | "echoed" | | 5 | "cacophony" | | 6 | "vibrated" | | 7 | "comforting" | | 8 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 39.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1356 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1094 | | uniqueNames | 18 | | maxNameDensity | 1.28 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Tomás" | | discoveredNames | | London | 1 | | Harlow | 14 | | Quinn | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Saint | 2 | | Christopher | 2 | | Tomás | 11 | | Herrera | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Morris | 3 | | Deptford | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Market" | | 8 | "Morris" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Camden" | | 3 | "Deptford" |
| | globalScore | 0.86 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like a fever dream, but the man sp" | | 1 | "smelled like guilt" | | 2 | "looked like a bird’s knucklebone" | | 3 | "sounded like grinding stones" | | 4 | "darkness that seemed to soak up the lantern light" |
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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 | 1356 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 41.09 | | std | 21.17 | | cv | 0.515 | | sampleLengths | | 0 | 60 | | 1 | 64 | | 2 | 65 | | 3 | 57 | | 4 | 25 | | 5 | 24 | | 6 | 61 | | 7 | 37 | | 8 | 16 | | 9 | 35 | | 10 | 41 | | 11 | 35 | | 12 | 7 | | 13 | 65 | | 14 | 11 | | 15 | 52 | | 16 | 33 | | 17 | 63 | | 18 | 4 | | 19 | 43 | | 20 | 31 | | 21 | 53 | | 22 | 32 | | 23 | 96 | | 24 | 41 | | 25 | 14 | | 26 | 44 | | 27 | 33 | | 28 | 67 | | 29 | 10 | | 30 | 45 | | 31 | 25 | | 32 | 67 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 83 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 182 | | matches | | 0 | "wasn't running" | | 1 | "was kneeling" | | 2 | "was meticulously cleaning" | | 3 | "was standing" | | 4 | "wasn't running" | | 5 | "was screaming" | | 6 | "were moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 94 | | ratio | 0.064 | | matches | | 0 | "In the flickering light of a nearby streetlamp, she caught the glint of a silver medallion around his neck—Saint Christopher, the protector of travelers." | | 1 | "Instead, he fumbled with something in his pocket—a small, white object that looked like a bird’s knucklebone." | | 2 | "The grate didn't just lift; it slid sideways, revealing a staircase that plummeted into the throat of the earth." | | 3 | "A waft of air hit Harlow’s face—warm, stagnant, and smelling of incense and ozone." | | 4 | "She remembered the smell of ozone—the same smell that saturated the air here." | | 5 | "From the darkness of the tunnel, something shifted—a mass of darkness that seemed to soak up the lantern light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1103 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.025385312783318223 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006346328195829556 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.43 | | std | 8.98 | | cv | 0.622 | | sampleLengths | | 0 | 37 | | 1 | 23 | | 2 | 7 | | 3 | 26 | | 4 | 31 | | 5 | 18 | | 6 | 7 | | 7 | 4 | | 8 | 7 | | 9 | 29 | | 10 | 24 | | 11 | 10 | | 12 | 11 | | 13 | 12 | | 14 | 7 | | 15 | 4 | | 16 | 14 | | 17 | 11 | | 18 | 13 | | 19 | 4 | | 20 | 24 | | 21 | 4 | | 22 | 14 | | 23 | 15 | | 24 | 13 | | 25 | 16 | | 26 | 8 | | 27 | 16 | | 28 | 3 | | 29 | 17 | | 30 | 15 | | 31 | 8 | | 32 | 19 | | 33 | 14 | | 34 | 24 | | 35 | 11 | | 36 | 7 | | 37 | 3 | | 38 | 8 | | 39 | 15 | | 40 | 3 | | 41 | 16 | | 42 | 20 | | 43 | 11 | | 44 | 24 | | 45 | 13 | | 46 | 15 | | 47 | 33 | | 48 | 9 | | 49 | 4 |
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| 52.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3723404255319149 | | totalSentences | 94 | | uniqueOpeners | 35 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 82 | | matches | | 0 | "Instead, she focused on the" | | 1 | "Instead, he fumbled with something" |
| | ratio | 0.024 | |
| 59.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 82 | | matches | | 0 | "Her leather watch strap chafed" | | 1 | "She knew the type." | | 2 | "He blew past a stack" | | 3 | "She surged forward, closing the" | | 4 | "She rounded a corner and" | | 5 | "He wasn't running anymore." | | 6 | "He was kneeling by a" | | 7 | "She didn't draw her sidearm" | | 8 | "It was Tomás Herrera." | | 9 | "She’d seen his face in" | | 10 | "He gripped his left forearm," | | 11 | "He pressed it against a" | | 12 | "she snapped, lunging forward" | | 13 | "He slipped into the dark" | | 14 | "She didn't hesitate." | | 15 | "She threw her shoulder against" | | 16 | "She tumbled onto the stone" | | 17 | "She was in an abandoned" | | 18 | "Her sharp jaw tightened." | | 19 | "She was a creature of" |
| | ratio | 0.402 | |
| 33.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 82 | | matches | | 0 | "The rain in London didn’t" | | 1 | "Harlow’s breathing was a controlled," | | 2 | "Her leather watch strap chafed" | | 3 | "The suspect was fast, dodging" | | 4 | "Harlow didn't yell for him" | | 5 | "She knew the type." | | 6 | "He blew past a stack" | | 7 | "Harlow followed, her boots striking" | | 8 | "She surged forward, closing the" | | 9 | "The air here was thicker," | | 10 | "She rounded a corner and" | | 11 | "He wasn't running anymore." | | 12 | "He was kneeling by a" | | 13 | "Harlow’s voice was a whip-crack," | | 14 | "She didn't draw her sidearm" | | 15 | "The man looked back." | | 16 | "It was Tomás Herrera." | | 17 | "She’d seen his face in" | | 18 | "A disgraced paramedic with a" | | 19 | "Tomás panted, his olive skin" |
| | ratio | 0.854 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "Even if it led straight" |
| | ratio | 0.012 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 6 | | matches | | 0 | "The rain in London didn’t fall so much as it dissolved, a cold, gray mist that clung to the wool of Harlow Quinn’s coat and turned the neon glow of Soho into a …" | | 1 | "Her leather watch strap chafed against her left wrist, a persistent reminder of the minutes ticking away since she’d spotted her mark stepping out from the shad…" | | 2 | "Instead, she focused on the set of his shoulders and the way he favored his right side, weaving through the narrow alleys with a desperation that smelled like g…" | | 3 | "Instead, he fumbled with something in his pocket—a small, white object that looked like a bird’s knucklebone." | | 4 | "The grate didn't just lift; it slid sideways, revealing a staircase that plummeted into the throat of the earth." | | 5 | "She remembered the smell of ozone—the same smell that saturated the air here." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "Tomás panted, his olive skin looking sallow under the harsh light" | | 1 | "she said, though the words felt hollow in the belly of this impossible place" | | 2 | "Harlow said, her voice dropping an octave" | | 3 | "she said, her voice unshakable" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Tomás panted (pant)" | | 1 | "she snapped (snap)" |
| | dialogueSentences | 19 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.333 | | effectiveRatio | 0.211 | |