| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.208 | | leniency | 0.415 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1130 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slightly" | | 1 | "reluctantly" | | 2 | "slowly" |
| |
| 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) | |
| 33.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1130 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "eyebrow" | | 2 | "weight" | | 3 | "measured" | | 4 | "flicked" | | 5 | "traced" | | 6 | "fractured" | | 7 | "trembled" | | 8 | "jaw clenched" | | 9 | "flickered" | | 10 | "thundered" | | 11 | "fluttered" | | 12 | "shattered" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 176 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1122 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 929 | | uniqueNames | 7 | | maxNameDensity | 0.43 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Prague | 1 | | Cardiff | 1 | | Camden | 1 | | Silas | 4 | | Raven | 1 | | Nest | 1 | | Aurora | 4 |
| | persons | | 0 | "Silas" | | 1 | "Raven" | | 2 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | 0 | "as though piecing together fragments of their past" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1122 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 176 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 16.75 | | std | 11.03 | | cv | 0.659 | | sampleLengths | | 0 | 52 | | 1 | 18 | | 2 | 9 | | 3 | 16 | | 4 | 11 | | 5 | 22 | | 6 | 11 | | 7 | 24 | | 8 | 44 | | 9 | 10 | | 10 | 24 | | 11 | 27 | | 12 | 3 | | 13 | 40 | | 14 | 23 | | 15 | 14 | | 16 | 11 | | 17 | 8 | | 18 | 16 | | 19 | 16 | | 20 | 37 | | 21 | 16 | | 22 | 5 | | 23 | 24 | | 24 | 33 | | 25 | 47 | | 26 | 10 | | 27 | 7 | | 28 | 35 | | 29 | 11 | | 30 | 18 | | 31 | 18 | | 32 | 11 | | 33 | 18 | | 34 | 7 | | 35 | 8 | | 36 | 13 | | 37 | 5 | | 38 | 5 | | 39 | 31 | | 40 | 26 | | 41 | 14 | | 42 | 11 | | 43 | 27 | | 44 | 4 | | 45 | 8 | | 46 | 5 | | 47 | 9 | | 48 | 13 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 134 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 176 | | ratio | 0.023 | | matches | | 0 | "The knuckles of the hand she steadied herself with brushed against the silver ring on his right hand—same signet she’d glimpsed in her childhood photographs." | | 1 | "Hazel eyes narrowed—recognition, surprise, something colder." | | 2 | "Now she looked lean, precise—like she’d taught herself to disappear." | | 3 | "He tilted his head, listening to the bar’s hum—gentle chatter, silverware clink, a distant door that rattled whenever someone swung it too hard." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 937 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.025613660618996798 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0064034151547491995 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 176 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 176 | | mean | 6.38 | | std | 4.36 | | cv | 0.683 | | sampleLengths | | 0 | 19 | | 1 | 2 | | 2 | 25 | | 3 | 6 | | 4 | 6 | | 5 | 12 | | 6 | 3 | | 7 | 6 | | 8 | 10 | | 9 | 6 | | 10 | 4 | | 11 | 7 | | 12 | 12 | | 13 | 8 | | 14 | 2 | | 15 | 7 | | 16 | 4 | | 17 | 13 | | 18 | 8 | | 19 | 3 | | 20 | 16 | | 21 | 10 | | 22 | 10 | | 23 | 8 | | 24 | 10 | | 25 | 10 | | 26 | 11 | | 27 | 3 | | 28 | 23 | | 29 | 3 | | 30 | 1 | | 31 | 2 | | 32 | 1 | | 33 | 12 | | 34 | 12 | | 35 | 4 | | 36 | 12 | | 37 | 3 | | 38 | 8 | | 39 | 7 | | 40 | 5 | | 41 | 6 | | 42 | 8 | | 43 | 2 | | 44 | 5 | | 45 | 4 | | 46 | 3 | | 47 | 5 | | 48 | 7 | | 49 | 5 |
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| 45.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.30113636363636365 | | totalSentences | 176 | | uniqueOpeners | 53 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 118 | | matches | | 0 | "Instead, he pointed to her" | | 1 | "Reluctantly, he took it." |
| | ratio | 0.017 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 71 | | totalSentences | 118 | | matches | | 0 | "He watched her, one eyebrow" | | 1 | "His limp shifted his weight" | | 2 | "Her voice came out flat," | | 3 | "He pushed back from the" | | 4 | "She inhaled, the scent of" | | 5 | "She forced a corner of" | | 6 | "He nodded once, then tapped" | | 7 | "She drew back her sleeve," | | 8 | "Her fingers trailed the ridge" | | 9 | "He studied her bright blue" | | 10 | "She’d lost her roundness, the" | | 11 | "he said, voice low" | | 12 | "She glanced at the half-empty" | | 13 | "She raised the pint" | | 14 | "He tilted his head, listening" | | 15 | "He leaned forward." | | 16 | "He closed his eyes for" | | 17 | "She looked away." | | 18 | "She flicked it onto the" | | 19 | "His lips thinned." |
| | ratio | 0.602 | |
| 15.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 118 | | matches | | 0 | "Aurora’s elbow slammed into the" | | 1 | "The knuckles of the hand" | | 2 | "Silence clogged the air between" | | 3 | "He watched her, one eyebrow" | | 4 | "His limp shifted his weight" | | 5 | "Her voice came out flat," | | 6 | "He pushed back from the" | | 7 | "Hazel eyes narrowed—recognition, surprise, something" | | 8 | "She inhaled, the scent of" | | 9 | "She forced a corner of" | | 10 | "He nodded once, then tapped" | | 11 | "She drew back her sleeve," | | 12 | "Her fingers trailed the ridge" | | 13 | "He studied her bright blue" | | 14 | "She’d lost her roundness, the" | | 15 | "he said, voice low" | | 16 | "She glanced at the half-empty" | | 17 | "She raised the pint" | | 18 | "He tilted his head, listening" | | 19 | "He leaned forward." |
| | ratio | 0.89 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "Now she looked lean, precise—like" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "He tilted his head, listening to the bar’s hum—gentle chatter, silverware clink, a distant door that rattled whenever someone swung it too hard." |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 53 | | tagDensity | 0.132 | | leniency | 0.264 | | rawRatio | 0.143 | | effectiveRatio | 0.038 | |