| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1266 | | totalAiIsmAdverbs | 2 | | 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) | |
| 9.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1266 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "fractured" | | 1 | "rhythmic" | | 2 | "practiced ease" | | 3 | "flicker" | | 4 | "navigated" | | 5 | "anticipating" | | 6 | "scanning" | | 7 | "pulsed" | | 8 | "intensity" | | 9 | "unreadable" | | 10 | "whisper" | | 11 | "stomach" | | 12 | "symphony" | | 13 | "depths" | | 14 | "echoing" | | 15 | "chaotic" | | 16 | "imposing" | | 17 | "solace" | | 18 | "chilling" | | 19 | "familiar" | | 20 | "ensure" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 100 | | matches | | 0 | "A wave of frustration" | | 1 | "A ripple of unease" | | 2 | "felt a knot" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1272 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1045 | | uniqueNames | 12 | | maxNameDensity | 0.67 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Harlow | 1 | | Quinn | 7 | | Herrera | 3 | | London | 2 | | Soho | 1 | | Morris | 2 | | Veil | 2 | | Market | 2 | | Revenant | 2 | | Silas | 6 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1272 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 30.29 | | std | 17.84 | | cv | 0.589 | | sampleLengths | | 0 | 64 | | 1 | 41 | | 2 | 20 | | 3 | 33 | | 4 | 53 | | 5 | 9 | | 6 | 30 | | 7 | 15 | | 8 | 64 | | 9 | 48 | | 10 | 68 | | 11 | 11 | | 12 | 32 | | 13 | 8 | | 14 | 26 | | 15 | 31 | | 16 | 7 | | 17 | 26 | | 18 | 4 | | 19 | 35 | | 20 | 21 | | 21 | 8 | | 22 | 24 | | 23 | 6 | | 24 | 32 | | 25 | 51 | | 26 | 42 | | 27 | 42 | | 28 | 63 | | 29 | 44 | | 30 | 34 | | 31 | 11 | | 32 | 19 | | 33 | 10 | | 34 | 15 | | 35 | 17 | | 36 | 13 | | 37 | 42 | | 38 | 30 | | 39 | 28 | | 40 | 58 | | 41 | 37 |
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| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 100 | | matches | | 0 | "was surrounded" | | 1 | "was hidden" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 21.79% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 118 | | ratio | 0.042 | | matches | | 0 | "A flicker of something – fear?" | | 1 | "– crossed his face before he melted back into the shadows." | | 2 | "The stench of damp earth and something metallic – blood, perhaps – wafted up from below." | | 3 | "The staircase opened into a vast, cavernous space – The Veil Market." | | 4 | "Quinn recognized the scent immediately – ozone and decay." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1039 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.030798845043310877 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01828681424446583 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 10.78 | | std | 5.37 | | cv | 0.499 | | sampleLengths | | 0 | 17 | | 1 | 17 | | 2 | 12 | | 3 | 2 | | 4 | 16 | | 5 | 16 | | 6 | 14 | | 7 | 4 | | 8 | 4 | | 9 | 3 | | 10 | 8 | | 11 | 12 | | 12 | 8 | | 13 | 8 | | 14 | 6 | | 15 | 11 | | 16 | 10 | | 17 | 10 | | 18 | 19 | | 19 | 14 | | 20 | 9 | | 21 | 2 | | 22 | 9 | | 23 | 7 | | 24 | 12 | | 25 | 8 | | 26 | 7 | | 27 | 5 | | 28 | 7 | | 29 | 9 | | 30 | 9 | | 31 | 22 | | 32 | 12 | | 33 | 17 | | 34 | 11 | | 35 | 14 | | 36 | 6 | | 37 | 21 | | 38 | 17 | | 39 | 13 | | 40 | 17 | | 41 | 6 | | 42 | 5 | | 43 | 4 | | 44 | 15 | | 45 | 13 | | 46 | 8 | | 47 | 6 | | 48 | 20 | | 49 | 3 |
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| 49.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3474576271186441 | | totalSentences | 118 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 92 | | matches | | 0 | "Just kept moving." | | 1 | "Instead, he ducked into a" | | 2 | "Then she felt it." |
| | ratio | 0.033 | |
| 46.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 92 | | matches | | 0 | "Her breath plumed white in" | | 1 | "He moved with a practiced" | | 2 | "He didn't glance back." | | 3 | "she called, her voice clipped" | | 4 | "He paused at a red" | | 5 | "His brown eyes, warm and" | | 6 | "She gained on him, the" | | 7 | "He navigated a maze of" | | 8 | "she commanded, her hand hovering" | | 9 | "She slammed her hand against" | | 10 | "she muttered, scanning the alley" | | 11 | "She checked her watch again." | | 12 | "She adjusted her coat, pulling" | | 13 | "She circled the block, checking" | | 14 | "He’d likely have noticed Herrera’s" | | 15 | "She pushed open the heavy" | | 16 | "she said, her voice authoritative" | | 17 | "He didn’t immediately respond." | | 18 | "He finished wiping the counter," | | 19 | "He hesitated, a flicker of" |
| | ratio | 0.435 | |
| 14.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 92 | | matches | | 0 | "Detective Harlow Quinn adjusted her" | | 1 | "Her breath plumed white in" | | 2 | "A medic, a shadow, and" | | 3 | "He moved with a practiced" | | 4 | "The rain plastered his dark" | | 5 | "He didn't glance back." | | 6 | "she called, her voice clipped" | | 7 | "The words sliced through the" | | 8 | "He paused at a red" | | 9 | "His brown eyes, warm and" | | 10 | "A flicker of something –" | | 11 | "Quinn pushed off the curb," | | 12 | "She gained on him, the" | | 13 | "He navigated a maze of" | | 14 | "The streetlights cast an unsettling" | | 15 | "she commanded, her hand hovering" | | 16 | "A wave of frustration washed" | | 17 | "She slammed her hand against" | | 18 | "she muttered, scanning the alley" | | 19 | "Nothing but shadows and the" |
| | ratio | 0.891 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | 0 | "Before he could respond, a" |
| | ratio | 0.011 | |
| 88.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 4 | | matches | | 0 | "She circled the block, checking doorways, windows, anything that might offer a clue to his next move." | | 1 | "Quinn moved silently through the throng, her eyes scanning the crowd, searching for him." | | 2 | "The rain intensified, seeming to press against the makeshift walls of the market, as if eager to drag the secrets beneath the city to the surface." | | 3 | "It was a descent into something far darker, something that reached back into the forgotten corners of London’s past." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 7 | | matches | | 0 | "she commanded, her hand hovering over her holster" | | 1 | "she said, her voice authoritative" | | 2 | "Silas leaned, his voice dropping to a conspiratorial whisper" | | 3 | "she said, her voice devoid of emotion" | | 4 | "he said, his voice soft" | | 5 | "he corrected, his hand tightening around the wooden box" | | 6 | "the man said, his voice a low, gravelly rasp" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" | | 2 | "he corrected (correct)" |
| | dialogueSentences | 30 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.333 | | effectiveRatio | 0.2 | |