| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 690 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 690 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "throb" | | 1 | "wavered" | | 2 | "silence" | | 3 | "weight" | | 4 | "eyebrow" | | 5 | "unspoken" | | 6 | "tension" | | 7 | "pulsed" | | 8 | "familiar" | | 9 | "whisper" | | 10 | "reminder" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "the weight of unspoken words" | | 2 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 40 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | 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 | 690 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 24.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 517 | | uniqueNames | 4 | | maxNameDensity | 2.51 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Evan" | | discoveredNames | | | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Rory" |
| | places | (empty) | | globalScore | 0.243 | | windowScore | 0.333 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed dull like the spark within him had been extinguished" | | 1 | "seemed impossible to bridge" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 690 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 57 | | matches | | |
| 85.51% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 26.54 | | std | 11.92 | | cv | 0.449 | | sampleLengths | | 0 | 51 | | 1 | 56 | | 2 | 14 | | 3 | 11 | | 4 | 43 | | 5 | 12 | | 6 | 27 | | 7 | 18 | | 8 | 27 | | 9 | 11 | | 10 | 34 | | 11 | 24 | | 12 | 12 | | 13 | 28 | | 14 | 27 | | 15 | 22 | | 16 | 18 | | 17 | 24 | | 18 | 19 | | 19 | 25 | | 20 | 49 | | 21 | 26 | | 22 | 20 | | 23 | 31 | | 24 | 30 | | 25 | 31 |
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| 87.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 40 | | matches | | 0 | "been extinguished" | | 1 | "was stilted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 83 | | matches | (empty) | |
| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 57 | | ratio | 0.018 | | matches | | 0 | "The sounds of The Raven's Nest swirled around them – the clinking of glasses, the hum of conversation, and the soft throb of jazz music." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 517 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.029013539651837523 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005802707930367505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 12.11 | | std | 5.91 | | cv | 0.488 | | sampleLengths | | 0 | 22 | | 1 | 18 | | 2 | 11 | | 3 | 25 | | 4 | 26 | | 5 | 5 | | 6 | 10 | | 7 | 4 | | 8 | 6 | | 9 | 5 | | 10 | 19 | | 11 | 24 | | 12 | 12 | | 13 | 19 | | 14 | 8 | | 15 | 4 | | 16 | 14 | | 17 | 5 | | 18 | 22 | | 19 | 2 | | 20 | 9 | | 21 | 15 | | 22 | 12 | | 23 | 7 | | 24 | 18 | | 25 | 6 | | 26 | 8 | | 27 | 4 | | 28 | 11 | | 29 | 14 | | 30 | 3 | | 31 | 17 | | 32 | 10 | | 33 | 15 | | 34 | 7 | | 35 | 6 | | 36 | 12 | | 37 | 11 | | 38 | 13 | | 39 | 3 | | 40 | 16 | | 41 | 13 | | 42 | 12 | | 43 | 17 | | 44 | 15 | | 45 | 4 | | 46 | 13 | | 47 | 9 | | 48 | 17 | | 49 | 10 |
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| 68.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42105263157894735 | | totalSentences | 57 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 39 | | matches | | 0 | "It had been years since" | | 1 | "He smiled, and the familiarity" | | 2 | "He broke the silence, his" | | 3 | "She nodded, her smile feeling" | | 4 | "His hair, once a rich" | | 5 | "Their conversation was stilted, the" | | 6 | "They'd once been inseparable, sharing" | | 7 | "He sighed, his shoulders sagging" |
| | ratio | 0.205 | |
| 24.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 39 | | matches | | 0 | "Rory locked eyes with the" | | 1 | "It had been years since" | | 2 | "He smiled, and the familiarity" | | 3 | "The sounds of The Raven's" | | 4 | "Rory's gaze never wavered from" | | 5 | "He broke the silence, his" | | 6 | "She nodded, her smile feeling" | | 7 | "Evan's eyes, once bright and" | | 8 | "His hair, once a rich" | | 9 | "Rory asked, trying to keep" | | 10 | "Evan's gaze drifted around the" | | 11 | "Rory raised an eyebrow." | | 12 | "Evan chuckled, the sound tired." | | 13 | "Their conversation was stilted, the" | | 14 | "They'd once been inseparable, sharing" | | 15 | "A bartender, a man with" | | 16 | "Evan raised the glass, his" | | 17 | "Rory hesitated, unsure if she" | | 18 | "The whiskey burned down her" | | 19 | "Evan's smile was a thin-lipped" |
| | ratio | 0.872 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 39 | | matches | | 0 | "Now, the distance between them" |
| | ratio | 0.026 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory locked eyes with the stranger, her mind stumbling to reconcile the boy she once knew with the man standing before her." | | 1 | "Evan's gaze drifted around the bar, his eyes lingering on the photographs on the walls before returning to hers." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory asked, trying to keep her tone light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |