| 69.16% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 51 | | adverbTagCount | 7 | | adverbTags | | 0 | "Silas replied dryly [dryly]" | | 1 | "She gestured vaguely [vaguely]" | | 2 | "Silas lied smoothly [smoothly]" | | 3 | "she said too [too]" | | 4 | "Her fingers brushed absently [absently]" | | 5 | "Silas observed neutrally [neutrally]" | | 6 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 107 | | tagDensity | 0.477 | | leniency | 0.953 | | rawRatio | 0.137 | | effectiveRatio | 0.131 | |
| 63.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1772 | | totalAiIsmAdverbs | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 2 |
| | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "perfectly" | | 1 | "precisely" | | 2 | "slightly" | | 3 | "quickly" | | 4 | "deliberately" | | 5 | "really" | | 6 | "slowly" | | 7 | "suddenly" | | 8 | "completely" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 74.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1772 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "shattered" | | 1 | "perfect" | | 2 | "chill" | | 3 | "intrigue" | | 4 | "comfortable" | | 5 | "intensity" | | 6 | "weight" | | 7 | "potential" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1760 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1045 | | uniqueNames | 15 | | maxNameDensity | 3.44 | | worstName | "Silas" | | maxWindowNameDensity | 6 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Italian | 1 | | Tuesday | 1 | | Silas | 36 | | Marcus | 2 | | London | 1 | | Rory | 12 | | Brendan | 2 | | Carter | 2 | | Dublin | 1 | | Old | 1 | | Unlike | 1 | | Cardiff | 1 | | Aurora | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Marcus" | | 4 | "Rory" | | 5 | "Brendan" | | 6 | "Carter" | | 7 | "Aurora" |
| | places | | 0 | "London" | | 1 | "Dublin" | | 2 | "Unlike" | | 3 | "Cardiff" |
| | globalScore | 0 | | windowScore | 0 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "ed his options visibly, like a child conte" | | 1 | "led Rory to a seemingly ordinary bookshelf" | | 2 | "as if divining secrets" |
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| 86.36% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.136 | | wordCount | 1760 | | matches | | 0 | "not in the geographical sense but in the deeper, more troubling way of someone who has misplac" | | 1 | "Not luxury accommodations, but safe for tonight" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 154 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 20.71 | | std | 12.77 | | cv | 0.617 | | sampleLengths | | 0 | 43 | | 1 | 11 | | 2 | 25 | | 3 | 21 | | 4 | 37 | | 5 | 10 | | 6 | 59 | | 7 | 23 | | 8 | 9 | | 9 | 40 | | 10 | 67 | | 11 | 18 | | 12 | 11 | | 13 | 15 | | 14 | 15 | | 15 | 21 | | 16 | 34 | | 17 | 32 | | 18 | 15 | | 19 | 10 | | 20 | 2 | | 21 | 12 | | 22 | 32 | | 23 | 39 | | 24 | 11 | | 25 | 19 | | 26 | 16 | | 27 | 11 | | 28 | 19 | | 29 | 14 | | 30 | 16 | | 31 | 24 | | 32 | 16 | | 33 | 23 | | 34 | 3 | | 35 | 28 | | 36 | 18 | | 37 | 17 | | 38 | 28 | | 39 | 28 | | 40 | 13 | | 41 | 36 | | 42 | 3 | | 43 | 25 | | 44 | 16 | | 45 | 14 | | 46 | 17 | | 47 | 46 | | 48 | 14 | | 49 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 95.29% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 191 | | matches | | 0 | "was running" | | 1 | "were looking" | | 2 | "was running" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 154 | | ratio | 0.013 | | matches | | 0 | "The Raven's Nest settled back into its rhythm—low conversations, the occasional laugh, the clink of glasses against worn wooden tables." | | 1 | "Aurora—Rory, as he remembered everyone calling her—took it with a grateful nod." |
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| 87.70% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 555 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.05405405405405406 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.016216216216216217 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 11.43 | | std | 6.91 | | cv | 0.605 | | sampleLengths | | 0 | 11 | | 1 | 3 | | 2 | 29 | | 3 | 7 | | 4 | 4 | | 5 | 21 | | 6 | 4 | | 7 | 16 | | 8 | 5 | | 9 | 15 | | 10 | 22 | | 11 | 10 | | 12 | 12 | | 13 | 20 | | 14 | 27 | | 15 | 17 | | 16 | 6 | | 17 | 5 | | 18 | 4 | | 19 | 12 | | 20 | 13 | | 21 | 15 | | 22 | 27 | | 23 | 17 | | 24 | 23 | | 25 | 18 | | 26 | 11 | | 27 | 12 | | 28 | 3 | | 29 | 14 | | 30 | 1 | | 31 | 17 | | 32 | 4 | | 33 | 22 | | 34 | 12 | | 35 | 14 | | 36 | 18 | | 37 | 9 | | 38 | 6 | | 39 | 7 | | 40 | 3 | | 41 | 2 | | 42 | 6 | | 43 | 6 | | 44 | 7 | | 45 | 20 | | 46 | 5 | | 47 | 4 | | 48 | 35 | | 49 | 11 |
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| 74.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.461038961038961 | | totalSentences | 154 | | uniqueOpeners | 71 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 67.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 97 | | matches | | 0 | "He didn't flinch." | | 1 | "He never needed to." | | 2 | "His gaze wandered from" | | 3 | "he muttered, turning to leave" | | 4 | "His hands paused on the" | | 5 | "She wore a black coat" | | 6 | "Her straight black hair was" | | 7 | "It took Silas precisely three" | | 8 | "he said, the name feeling" | | 9 | "She stopped halfway to the" | | 10 | "He indicated the empty stool" | | 11 | "She moved toward him, shedding" | | 12 | "she said after a long" | | 13 | "She gestured vaguely toward the" | | 14 | "she confirmed, rolling her eyes" | | 15 | "She took another sip" | | 16 | "It wasn't a question." | | 17 | "Her bright blue eyes narrowed" | | 18 | "she said too quickly, then" | | 19 | "She trailed off, clearly uncertain" |
| | ratio | 0.381 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 97 | | matches | | 0 | "The glass shattered against the" | | 1 | "He didn't flinch." | | 2 | "Silas said, not raising his" | | 3 | "He never needed to." | | 4 | "The drunk businessman with the" | | 5 | "Silas moved from behind the" | | 6 | "The drunk weighed his options" | | 7 | "His gaze wandered from" | | 8 | "he muttered, turning to leave" | | 9 | "Silas watched him go, then" | | 10 | "The Raven's Nest settled back" | | 11 | "The bar sat in that" | | 12 | "Silas replied dryly" | | 13 | "The bar door opened, letting" | | 14 | "Silas glanced up automatically, a" | | 15 | "His hands paused on the" | | 16 | "The woman who entered looked" | | 17 | "She wore a black coat" | | 18 | "Her straight black hair was" | | 19 | "It took Silas precisely three" |
| | ratio | 0.928 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "After twenty-seven years of intelligence work and another decade running The Raven's Nest, flying barware registered somewhere between a paper cut and mild indi…" | | 1 | "The woman who entered looked lost, not in the geographical sense but in the deeper, more troubling way of someone who has misplaced more than just directions." | | 2 | "Her straight black hair was pulled back in a functional ponytail, revealing a face that looked both younger and older than its years." | | 3 | "Silas maintained connections that kept him informed about people who mattered, and the daughter of Brendan Carter had mattered, if only because Brendan had once…" |
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| 75.98% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 51 | | uselessAdditionCount | 5 | | matches | | 0 | "Silas said, not raising his voice" | | 1 | "he muttered, turning to leave" | | 2 | "he said, the name feeling strange on his tongue" | | 3 | "Silas tapped, the source of his limp" | | 4 | "Silas stood, his knee protesting slightly" |
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| 65.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 9 | | fancyTags | | 0 | "he muttered (mutter)" | | 1 | "she confirmed (confirm)" | | 2 | "Silas lied smoothly (lie)" | | 3 | "Her tone suggested (suggest)" | | 4 | "Silas corrected (correct)" | | 5 | "Silas observed (observe)" | | 6 | "Silas observed neutrally (observe)" | | 7 | "Rory admitted (admit)" | | 8 | "Silas assured (assure)" |
| | dialogueSentences | 107 | | tagDensity | 0.196 | | leniency | 0.393 | | rawRatio | 0.429 | | effectiveRatio | 0.168 | |