| 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 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1199 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 45.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1199 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "practiced ease" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "rhythmic" | | 3 | "pulse" | | 4 | "familiar" | | 5 | "shimmered" | | 6 | "dancing" | | 7 | "practiced ease" | | 8 | "weight" | | 9 | "chilled" | | 10 | "unreadable" | | 11 | "glint" | | 12 | "flickered" |
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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 | 1 | | narrationSentences | 120 | | matches | | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1188 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1148 | | uniqueNames | 19 | | maxNameDensity | 1.05 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 12 | | Frith | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Herrera | 12 | | Soho | 1 | | Camden | 1 | | November | 1 | | London | 1 | | Tube | 1 | | Veil | 1 | | Market | 3 | | Morris | 3 | | Saint | 1 | | Christopher | 1 | | Like | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Herrera" | | 5 | "Market" | | 6 | "Morris" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Like" |
| | places | | 0 | "Frith" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Camden" | | 4 | "November" | | 5 | "London" |
| | globalScore | 0.977 | | windowScore | 1 | |
| 55.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 3 | | matches | | 0 | "luminescence that seemed to pulse from the walls themselves" | | 1 | "looked like decades" | | 2 | "weapons that seemed to breathe" |
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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 | 1188 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 28.29 | | std | 17.81 | | cv | 0.63 | | sampleLengths | | 0 | 44 | | 1 | 5 | | 2 | 65 | | 3 | 42 | | 4 | 26 | | 5 | 2 | | 6 | 9 | | 7 | 57 | | 8 | 44 | | 9 | 29 | | 10 | 44 | | 11 | 6 | | 12 | 15 | | 13 | 15 | | 14 | 16 | | 15 | 46 | | 16 | 39 | | 17 | 44 | | 18 | 3 | | 19 | 51 | | 20 | 3 | | 21 | 28 | | 22 | 54 | | 23 | 34 | | 24 | 5 | | 25 | 52 | | 26 | 48 | | 27 | 40 | | 28 | 26 | | 29 | 13 | | 30 | 36 | | 31 | 4 | | 32 | 26 | | 33 | 19 | | 34 | 47 | | 35 | 3 | | 36 | 30 | | 37 | 26 | | 38 | 42 | | 39 | 18 | | 40 | 27 | | 41 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 120 | | matches | | |
| 14.81% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 216 | | matches | | 0 | "were watching" | | 1 | "was going" | | 2 | "was getting" | | 3 | "wasn't running" | | 4 | "was waiting" | | 5 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 125 | | ratio | 0.064 | | matches | | 0 | "The suspect had been easy to spot once she knew what to look for—the slight limp, the way he kept his left arm pressed against his body." | | 1 | "Their eyes met for half a second—his warm brown gaze catching the amber glow of a streetlight—before he put on speed." | | 2 | "The yellow emergency lights gave way to something else—a faint luminescence that seemed to pulse from the walls themselves." | | 3 | "Scents collided—incense and copper, something sweet rotting underneath." | | 4 | "Halfway down, she passed through something—a membrane of cold air that made her gasp." | | 5 | "Their eyes—if they had eyes—slid over her like she wasn't there." | | 6 | "The speaker stood between her and the platform—a figure draped in robes that shifted like oil on water." | | 7 | "The case file that listed his death as \"accidental\" when she knew—she knew—it was anything but." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1162 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.025817555938037865 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006024096385542169 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 9.5 | | std | 5.95 | | cv | 0.626 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 13 | | 3 | 5 | | 4 | 27 | | 5 | 13 | | 6 | 7 | | 7 | 13 | | 8 | 5 | | 9 | 17 | | 10 | 13 | | 11 | 12 | | 12 | 5 | | 13 | 21 | | 14 | 2 | | 15 | 2 | | 16 | 4 | | 17 | 3 | | 18 | 6 | | 19 | 12 | | 20 | 12 | | 21 | 15 | | 22 | 5 | | 23 | 6 | | 24 | 1 | | 25 | 3 | | 26 | 13 | | 27 | 7 | | 28 | 5 | | 29 | 16 | | 30 | 5 | | 31 | 16 | | 32 | 8 | | 33 | 16 | | 34 | 11 | | 35 | 8 | | 36 | 9 | | 37 | 6 | | 38 | 6 | | 39 | 5 | | 40 | 4 | | 41 | 7 | | 42 | 8 | | 43 | 2 | | 44 | 14 | | 45 | 3 | | 46 | 19 | | 47 | 19 | | 48 | 2 | | 49 | 3 |
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| 68.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.456 | | totalSentences | 125 | | uniqueOpeners | 57 | |
| 89.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 112 | | matches | | 0 | "Of course he didn't." | | 1 | "Just the slap of shoes" | | 2 | "Somewhere to her right, something" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 112 | | matches | | 0 | "Her shoes splashed through puddles" | | 1 | "She'd been tailing him for" | | 2 | "Her worn leather watch caught" | | 3 | "Their eyes met for half" | | 4 | "They never did." | | 5 | "Her breath came in sharp" | | 6 | "He cut left down an" | | 7 | "Her jacket caught on the" | | 8 | "They were in a service" | | 9 | "He knew where he was" | | 10 | "She pushed harder, her legs" | | 11 | "She'd read reports." | | 12 | "She'd filed it under urban" | | 13 | "His dark jacket was unmistakable." | | 14 | "Their eyes—if they had eyes—slid" | | 15 | "She could see him approaching" | | 16 | "She stopped herself." | | 17 | "He turned, and for the" | | 18 | "His face was unreadable at" | | 19 | "He wasn't running anymore." |
| | ratio | 0.196 | |
| 58.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 112 | | matches | | 0 | "Her shoes splashed through puddles" | | 1 | "Quinn broke into a sprint." | | 2 | "The suspect had been easy" | | 3 | "Tomás Herrera moved like a" | | 4 | "She'd been tailing him for" | | 5 | "Each time, he led her" | | 6 | "Tonight, she wouldn't lose him." | | 7 | "Her worn leather watch caught" | | 8 | "The salt-and-pepper crop of her" | | 9 | "Water streamed down her sharp" | | 10 | "Herrera glanced over his shoulder." | | 11 | "Their eyes met for half" | | 12 | "They never did." | | 13 | "Quinn's feet pounded the wet" | | 14 | "Her breath came in sharp" | | 15 | "Herrera was fast, faster than" | | 16 | "He cut left down an" | | 17 | "Backup was seventeen minutes out." | | 18 | "The alley narrowed." | | 19 | "Dumpsters overflowed with rotting rubbish," |
| | ratio | 0.804 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 112 | | matches | | 0 | "If she called now." | | 1 | "If they could even find" | | 2 | "If they believed her when" |
| | ratio | 0.027 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "The yellow emergency lights gave way to something else—a faint luminescence that seemed to pulse from the walls themselves." | | 1 | "She'd filed it under urban legends, the kind of things that cropped up when you investigated cases with no rational explanation." | | 2 | "Halfway down, she passed through something—a membrane of cold air that made her gasp." | | 3 | "The market's patrons moved around her as if she were a stone in a stream, flowing past without acknowledgment." | | 4 | "Somewhere to her right, something laughed in a frequency that made her teeth itch." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "She pushed, her legs burning" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |