| 44.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 19 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.286 | | effectiveRatio | 0.211 | |
| 79.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1202 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "tightly" | | 3 | "completely" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 45.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1202 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "intricate" | | 1 | "calculating" | | 2 | "warmth" | | 3 | "weight" | | 4 | "echo" | | 5 | "traced" | | 6 | "furrowed" | | 7 | "crystal" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 92.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1217 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1056 | | uniqueNames | 11 | | maxNameDensity | 1.23 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Thursday | 1 | | Soho | 2 | | Silas | 13 | | Golden | 1 | | Empress | 1 | | Evan | 5 | | Rory | 9 | | Declan | 5 | | Chinese | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Rory" | | 5 | "Declan" |
| | places | | 0 | "Soho" | | 1 | "Golden" | | 2 | "Chinese" |
| | globalScore | 0.884 | | windowScore | 0.833 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "quite remember now" | | 1 | "looked like he'd stepped out of her worst" | | 2 | "as if reading her thoughts" | | 3 | "looked like her nightmares made flesh cou" |
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| 35.66% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.643 | | wordCount | 1217 | | matches | | 0 | "not sure where she was going but knowing she needed to move" | | 1 | "Not the cruel echo of her nightmares, but the warm, genuine sound of someone who had become something" |
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| 27.78% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 96 | | matches | | 0 | "say that some changed, that monsters" | | 1 | "believe that redemption" | | 2 | "remember that laugh" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 32.89 | | std | 18.02 | | cv | 0.548 | | sampleLengths | | 0 | 71 | | 1 | 34 | | 2 | 76 | | 3 | 41 | | 4 | 19 | | 5 | 27 | | 6 | 9 | | 7 | 5 | | 8 | 28 | | 9 | 72 | | 10 | 21 | | 11 | 14 | | 12 | 64 | | 13 | 25 | | 14 | 12 | | 15 | 28 | | 16 | 50 | | 17 | 25 | | 18 | 52 | | 19 | 21 | | 20 | 23 | | 21 | 20 | | 22 | 40 | | 23 | 39 | | 24 | 11 | | 25 | 33 | | 26 | 36 | | 27 | 36 | | 28 | 16 | | 29 | 12 | | 30 | 42 | | 31 | 35 | | 32 | 45 | | 33 | 34 | | 34 | 55 | | 35 | 32 | | 36 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 53.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 182 | | matches | | 0 | "was studying" | | 1 | "was looking" | | 2 | "was smiling" | | 3 | "was going" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 96 | | ratio | 0.094 | | matches | | 0 | "She'd come to see Silas about something - what it was, she couldn't quite remember now." | | 1 | "She was studying the intricate pattern of water rings on the dark wood when she heard it - that laugh." | | 2 | "The face was similar enough - the same strong jawline, the same dark hair - but everything else was wrong." | | 3 | "The name meant nothing to her, but the way Silas said it - carefully, like testing the weight of each syllable - told her this was important." | | 4 | "But looking at Declan - really looking - she saw the differences." | | 5 | "But the weight of it all - the memories, the fear, the constant looking over her shoulder - sat heavy in her chest." | | 6 | "The impossible - to go back and change everything that had happened?" | | 7 | "Just a quick, assessing look - the kind any man might give an attractive woman in a bar - before he turned back to his phone." | | 8 | "But maybe - just maybe - tomorrow she would also remember that laugh." |
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| 95.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1051 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.04471931493815414 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007611798287345386 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.68 | | std | 7.09 | | cv | 0.559 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 16 | | 3 | 15 | | 4 | 3 | | 5 | 20 | | 6 | 10 | | 7 | 4 | | 8 | 19 | | 9 | 1 | | 10 | 4 | | 11 | 20 | | 12 | 12 | | 13 | 20 | | 14 | 6 | | 15 | 12 | | 16 | 23 | | 17 | 13 | | 18 | 6 | | 19 | 9 | | 20 | 14 | | 21 | 2 | | 22 | 2 | | 23 | 9 | | 24 | 3 | | 25 | 2 | | 26 | 11 | | 27 | 17 | | 28 | 27 | | 29 | 17 | | 30 | 2 | | 31 | 26 | | 32 | 21 | | 33 | 6 | | 34 | 8 | | 35 | 15 | | 36 | 12 | | 37 | 8 | | 38 | 16 | | 39 | 13 | | 40 | 12 | | 41 | 13 | | 42 | 8 | | 43 | 4 | | 44 | 20 | | 45 | 8 | | 46 | 20 | | 47 | 30 | | 48 | 25 | | 49 | 5 |
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| 56.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3958333333333333 | | totalSentences | 96 | | uniqueOpeners | 38 | |
| 42.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 78 | | matches | | 0 | "Just a quick, assessing look" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 78 | | matches | | 0 | "She'd come to see Silas" | | 1 | "Her feet ached." | | 2 | "She was studying the intricate" | | 3 | "Her head snapped up." | | 4 | "She hadn't even heard him" | | 5 | "She shook her head, not" | | 6 | "he asked, already knowing the" | | 7 | "She watched as Declan threw" | | 8 | "It was the same laugh" | | 9 | "she said finally, and even" | | 10 | "She wanted to argue, to" | | 11 | "She thought about the crescent-shaped" | | 12 | "she said finally, forcing her" | | 13 | "He nodded toward the hidden" | | 14 | "He was looking at his" | | 15 | "She wanted to believe him." | | 16 | "she said, setting the untouched" | | 17 | "She started walking, not sure" |
| | ratio | 0.231 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 78 | | matches | | 0 | "The Raven's Nest was quiet" | | 1 | "Rory sat at the end" | | 2 | "She'd come to see Silas" | | 3 | "The day had been long," | | 4 | "Her feet ached." | | 5 | "She was studying the intricate" | | 6 | "Her head snapped up." | | 7 | "There, in the back corner" | | 8 | "The face was similar enough" | | 9 | "Rory's hand tightened around her" | | 10 | "The conversation she'd come to" | | 11 | "She hadn't even heard him" | | 12 | "She shook her head, not" | | 13 | "Silas followed her gaze to" | | 14 | "he asked, already knowing the" | | 15 | "Rory swallowed hard." | | 16 | "Silas studied her for a" | | 17 | "The name meant nothing to" | | 18 | "She watched as Declan threw" | | 19 | "It was the same laugh" |
| | ratio | 0.628 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "There, in the back corner booth, sat a man who looked like he'd stepped out of her worst memories." | | 1 | "It was the same laugh that used to echo through her apartment at all hours, the laugh that had turned cold and cruel in the end." | | 2 | "Wanted to believe that seeing this man who looked like her nightmares made flesh could be anything other than a cruel trick of fate." | | 3 | "But now he was smiling, a small private smile that transformed his whole face." | | 4 | "The air was cool against her skin, smelling of rain and exhaust and distant cooking spices from the Chinese restaurants lining the street." | | 5 | "Not the cruel echo of her nightmares, but the warm, genuine sound of someone who had become something new." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas continued, as if reading her thoughts" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Silas continued (continue)" |
| | dialogueSentences | 19 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.143 | | effectiveRatio | 0.105 | |