| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 998 | | 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) | |
| 44.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 998 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "potential" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "gleaming" | | 4 | "flickered" | | 5 | "dancing" | | 6 | "scanned" | | 7 | "warmth" | | 8 | "depths" | | 9 | "shattered" |
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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 | 51 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 987 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 727 | | uniqueNames | 15 | | maxNameDensity | 1.79 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 13 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | London | 1 | | Underground | 1 | | Morris | 2 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Spain | 1 | | Figures | 1 | | Herrera | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Nest" | | 3 | "Morris" | | 4 | "Camden" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "London" | | 3 | "Spain" |
| | globalScore | 0.606 | | windowScore | 0.833 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 2 | | matches | | 0 | "darkness that seemed to swallow her torch beam whole" | | 1 | "shadows that seemed to move independently of their sources" |
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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 | 987 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 25.31 | | std | 19.35 | | cv | 0.764 | | sampleLengths | | 0 | 64 | | 1 | 3 | | 2 | 57 | | 3 | 12 | | 4 | 43 | | 5 | 40 | | 6 | 6 | | 7 | 60 | | 8 | 12 | | 9 | 53 | | 10 | 67 | | 11 | 5 | | 12 | 34 | | 13 | 20 | | 14 | 34 | | 15 | 13 | | 16 | 13 | | 17 | 7 | | 18 | 18 | | 19 | 45 | | 20 | 2 | | 21 | 10 | | 22 | 46 | | 23 | 44 | | 24 | 5 | | 25 | 20 | | 26 | 36 | | 27 | 19 | | 28 | 7 | | 29 | 15 | | 30 | 5 | | 31 | 16 | | 32 | 13 | | 33 | 47 | | 34 | 1 | | 35 | 12 | | 36 | 11 | | 37 | 31 | | 38 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 134 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 75 | | ratio | 0.053 | | matches | | 0 | "Her quarry—a figure in a dark coat—darted between the late-night revelers stumbling out of Soho's neon-lit establishments." | | 1 | "Water cascaded down the steps like a waterfall, carrying with it the scent of something she couldn't identify—herbs mixed with copper and something else that made her skin crawl." | | 2 | "She clicked the radio twice—the signal for negative—and started down the steps." | | 3 | "The medallion at his throat caught her attention—worn smooth by anxious fingers, the kind of talisman carried by someone who'd seen things that challenged faith rather than strengthened it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 738 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02981029810298103 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01084010840108401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 13.16 | | std | 8.28 | | cv | 0.629 | | sampleLengths | | 0 | 16 | | 1 | 17 | | 2 | 31 | | 3 | 3 | | 4 | 28 | | 5 | 5 | | 6 | 24 | | 7 | 5 | | 8 | 7 | | 9 | 24 | | 10 | 14 | | 11 | 5 | | 12 | 11 | | 13 | 29 | | 14 | 6 | | 15 | 6 | | 16 | 3 | | 17 | 20 | | 18 | 31 | | 19 | 12 | | 20 | 4 | | 21 | 20 | | 22 | 14 | | 23 | 15 | | 24 | 8 | | 25 | 9 | | 26 | 14 | | 27 | 20 | | 28 | 16 | | 29 | 5 | | 30 | 5 | | 31 | 19 | | 32 | 10 | | 33 | 20 | | 34 | 16 | | 35 | 13 | | 36 | 5 | | 37 | 13 | | 38 | 3 | | 39 | 10 | | 40 | 7 | | 41 | 14 | | 42 | 4 | | 43 | 29 | | 44 | 16 | | 45 | 2 | | 46 | 10 | | 47 | 8 | | 48 | 12 | | 49 | 26 |
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| 84.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.52 | | totalSentences | 75 | | uniqueOpeners | 39 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Then she looked ahead, into" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 50 | | matches | | 0 | "Her quarry—a figure in a" | | 1 | "She cursed under her breath." | | 2 | "Her radio crackled with static." | | 3 | "She clicked the radio twice—the" | | 4 | "Her footsteps echoed strangely, as" | | 5 | "His accent carried traces of" | | 6 | "She looked back toward the" | | 7 | "She holstered her weapon and" | | 8 | "His mouth curved into what" | | 9 | "They moved deeper into the" |
| | ratio | 0.2 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 50 | | matches | | 0 | "The rain hammered the pavement" | | 1 | "Her quarry—a figure in a" | | 2 | "The green glow from The" | | 3 | "The suspect glanced back, revealing" | | 4 | "She cursed under her breath." | | 5 | "Her radio crackled with static." | | 6 | "Quinn paused at the top" | | 7 | "The stone steps descended far" | | 8 | "The rain drove harder, forcing" | | 9 | "Water cascaded down the steps" | | 10 | "Quinn's hand hovered over her" | | 11 | "Backup meant explanations." | | 12 | "Explanations meant forms, questions, and" | | 13 | "The brass tolerated her unconventional" | | 14 | "She clicked the radio twice—the" | | 15 | "The descent felt endless." | | 16 | "Her footsteps echoed strangely, as" | | 17 | "The deeper she went, the" | | 18 | "A murmur of voices drifted" | | 19 | "Quinn drew her weapon, keeping" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 8 | | matches | | 0 | "The green glow from The Raven's Nest's sign cast an eerie pallor across Quinn's sharp features as she pressed forward, her worn leather watch catching raindrops…" | | 1 | "Explanations meant forms, questions, and the kind of scrutiny that had already cost her two potential promotions since Morris died." | | 2 | "The brass tolerated her unconventional methods because her clearance rate remained the highest in the division, but their patience wore thinner with each case t…" | | 3 | "Her footsteps echoed strangely, as if the sound travelled both forward and backward simultaneously." | | 4 | "The steps opened into a vast space that defied the geography of Camden's underground." | | 5 | "Candlelight flickered from wrought-iron fixtures, casting dancing shadows that seemed to move independently of their sources." | | 6 | "The medallion at his throat caught her attention—worn smooth by anxious fingers, the kind of talisman carried by someone who'd seen things that challenged faith…" | | 7 | "Then she looked ahead, into a market that sold impossibilities and harbored fugitives who might hold answers to questions she'd been afraid to ask since Morris …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |