| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "His eyes narrowed slightly [slightly]" |
| | dialogueSentences | 30 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.143 | | effectiveRatio | 0.133 | |
| 72.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 909 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "truly" |
| |
| 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) | |
| 17.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 909 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "rhythmic" | | 3 | "down her spine" | | 4 | "clenching" | | 5 | "flickered" | | 6 | "churning" | | 7 | "glint" | | 8 | "weight" | | 9 | "wavering" | | 10 | "constructed" | | 11 | "whisper" | | 12 | "unspoken" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 5 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "hung in the air" | | count | 2 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "eyes narrowed" | | 2 | "hung in the air" | | 3 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 906 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 716 | | uniqueNames | 6 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 4 | | Tuesday | 1 | | Evan | 3 | | Silas | 3 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a brand" | | 1 | "felt like a performance" |
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| 89.62% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.104 | | wordCount | 906 | | matches | | 0 | "not just in appearance, but in the subtle shift in his aura, a polished confidence" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 31.24 | | std | 17.4 | | cv | 0.557 | | sampleLengths | | 0 | 71 | | 1 | 32 | | 2 | 13 | | 3 | 55 | | 4 | 10 | | 5 | 14 | | 6 | 61 | | 7 | 29 | | 8 | 30 | | 9 | 20 | | 10 | 18 | | 11 | 30 | | 12 | 40 | | 13 | 25 | | 14 | 17 | | 15 | 43 | | 16 | 48 | | 17 | 16 | | 18 | 15 | | 19 | 26 | | 20 | 23 | | 21 | 53 | | 22 | 14 | | 23 | 36 | | 24 | 12 | | 25 | 38 | | 26 | 24 | | 27 | 21 | | 28 | 72 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 102 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 77 | | ratio | 0.013 | | matches | | 0 | "The scent of old wood, stale beer, and something vaguely metallic – perhaps, the faint tang of secrets – hung in the air." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 719 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 27 | | adverbRatio | 0.037552155771905425 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.015299026425591099 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 11.77 | | std | 6.78 | | cv | 0.577 | | sampleLengths | | 0 | 16 | | 1 | 18 | | 2 | 14 | | 3 | 23 | | 4 | 14 | | 5 | 8 | | 6 | 10 | | 7 | 13 | | 8 | 17 | | 9 | 16 | | 10 | 22 | | 11 | 8 | | 12 | 2 | | 13 | 8 | | 14 | 6 | | 15 | 10 | | 16 | 5 | | 17 | 17 | | 18 | 15 | | 19 | 14 | | 20 | 6 | | 21 | 16 | | 22 | 3 | | 23 | 4 | | 24 | 13 | | 25 | 9 | | 26 | 8 | | 27 | 16 | | 28 | 4 | | 29 | 6 | | 30 | 11 | | 31 | 1 | | 32 | 12 | | 33 | 6 | | 34 | 12 | | 35 | 26 | | 36 | 9 | | 37 | 5 | | 38 | 1 | | 39 | 19 | | 40 | 5 | | 41 | 17 | | 42 | 8 | | 43 | 32 | | 44 | 3 | | 45 | 15 | | 46 | 9 | | 47 | 24 | | 48 | 9 | | 49 | 7 |
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| 75.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4675324675324675 | | totalSentences | 77 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 62 | | matches | | 0 | "His grey-streaked auburn beard caught" | | 1 | "He looked up, his hazel" | | 2 | "He spoke, his voice a" | | 3 | "She moved towards her usual" | | 4 | "Her small crescent-shaped scar on" | | 5 | "He placed a glass in" | | 6 | "She nodded, a faint smile" | | 7 | "Their clothes, a smart trench" | | 8 | "Her bright blue eyes widened," | | 9 | "It couldn't be." | | 10 | "His eyes swept over the" | | 11 | "His voice, deeper than she" | | 12 | "Her heart hammered against her" | | 13 | "She slid off the stool," | | 14 | "His gaze flickered between them," | | 15 | "He extended a hand, the" | | 16 | "She ignored his outstretched hand." | | 17 | "Her voice was flat, betraying" | | 18 | "He lowered his hand, his" | | 19 | "His eyes, a shade of" |
| | ratio | 0.597 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 62 | | matches | | 0 | "The green neon sign of" | | 1 | "A gust of wind pushed" | | 2 | "The bar, a familiar refuge" | | 3 | "The scent of old wood," | | 4 | "Silas, behind the bar, wiped" | | 5 | "His grey-streaked auburn beard caught" | | 6 | "He looked up, his hazel" | | 7 | "He spoke, his voice a" | | 8 | "Rory shrugged, her shoulder-length black" | | 9 | "She moved towards her usual" | | 10 | "Her small crescent-shaped scar on" | | 11 | "He placed a glass in" | | 12 | "She nodded, a faint smile" | | 13 | "The doorbell chimed, a surprising" | | 14 | "Rory glanced over her shoulder." | | 15 | "A tall figure stood silhouetted" | | 16 | "The bar fell silent, a" | | 17 | "Their clothes, a smart trench" | | 18 | "A gasp caught in Rory’s" | | 19 | "Her bright blue eyes widened," |
| | ratio | 0.952 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Now, it just felt like" |
| | ratio | 0.016 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "He had changed too, not just in appearance, but in the subtle shift in his aura, a polished confidence that hadn't been there before." | | 1 | "But the dangerous undercurrent, the manipulative streak that had drawn her in and then suffocated her, was unmistakably present." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "He spoke, his voice a low rumble" | | 1 | "Rory shrugged, her shoulder-length black hair swaying" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "He spoke (speak)" | | 1 | "He chuckled (chuckle)" | | 2 | "she stated (state)" |
| | dialogueSentences | 30 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0.75 | | effectiveRatio | 0.2 | |