| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "complicated terms – hung like [like]" | | 1 | "he began only [only]" |
| | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |
| 93.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 752 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | 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 | 752 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "flicked" | | 1 | "etched" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "tinge" | | 5 | "stark" | | 6 | "glint" | | 7 | "unspoken" | | 8 | "navigated" | | 9 | "whisper" | | 10 | "tension" | | 11 | "palpable" | | 12 | "silence" | | 13 | "enigmatic" | | 14 | "reminder" | | 15 | "flicker" | | 16 | "measured" | | 17 | "vibrated" | | 18 | "intensity" | | 19 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 98.12% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 31 | | matches | | |
| 50.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 31 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 39 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 748 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 614 | | uniqueNames | 8 | | maxNameDensity | 2.12 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 13 | | Eva | 7 | | Lucien | 10 | | Moreau | 1 | | Ptolemy | 2 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Ptolemy" |
| | places | | | globalScore | 0.441 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 748 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 57.35% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 39.37 | | std | 13.81 | | cv | 0.351 | | sampleLengths | | 0 | 50 | | 1 | 65 | | 2 | 27 | | 3 | 64 | | 4 | 40 | | 5 | 59 | | 6 | 28 | | 7 | 31 | | 8 | 42 | | 9 | 23 | | 10 | 31 | | 11 | 44 | | 12 | 44 | | 13 | 8 | | 14 | 38 | | 15 | 43 | | 16 | 45 | | 17 | 35 | | 18 | 31 |
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| 71.31% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 31 | | matches | | 0 | "were laced" | | 1 | "been caught" | | 2 | "was betrayed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 39 | | ratio | 0.051 | | matches | | 0 | "\"Aurora. This is... unexpected.\" The heterochromatic glint of his eyes – one amber, one black – seemed to hold a thousand unspoken questions as he set his ivory-handled cane against the wall." | | 1 | "\"That sounds great, thanks.\" The unspoken history between them – the spark of attraction, the hurt of parting on complicated terms – hung like an challenge, waiting to be addressed." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 618 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 20 | | adverbRatio | 0.032362459546925564 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009708737864077669 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 39 | | echoCount | 0 | | echoWords | (empty) | |
| 95.70% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 39 | | mean | 19.18 | | std | 7.47 | | cv | 0.389 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 17 | | 3 | 2 | | 4 | 18 | | 5 | 24 | | 6 | 23 | | 7 | 27 | | 8 | 32 | | 9 | 32 | | 10 | 16 | | 11 | 24 | | 12 | 27 | | 13 | 22 | | 14 | 10 | | 15 | 10 | | 16 | 18 | | 17 | 16 | | 18 | 15 | | 19 | 12 | | 20 | 30 | | 21 | 17 | | 22 | 6 | | 23 | 22 | | 24 | 9 | | 25 | 16 | | 26 | 28 | | 27 | 22 | | 28 | 22 | | 29 | 8 | | 30 | 16 | | 31 | 22 | | 32 | 20 | | 33 | 23 | | 34 | 24 | | 35 | 21 | | 36 | 28 | | 37 | 7 | | 38 | 31 |
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| 78.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.48717948717948717 | | totalSentences | 39 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 2 | | totalSentences | 31 | | matches | | 0 | "Her gaze danced across the" | | 1 | "he began, only to be" |
| | ratio | 0.065 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 31 | | matches | | 0 | "The door creaked open, its" | | 1 | "Eva's eyes, narrowed behind her" | | 2 | "The warm glow of table" | | 3 | "Aurora Carter, aka Rory, stood" | | 4 | "Her gaze danced across the" | | 5 | "A hesitant smile tugged at" | | 6 | "Rory's words were laced with" | | 7 | "Lucien Moreau, resplendent in a" | | 8 | "The heterochromatic glint of his" | | 9 | "Eva, still looking like she'd" | | 10 | "The half-hearted attempt at casualness" | | 11 | "Rory's gaze lingered on Lucien" | | 12 | "The tabby cat, Ptolemy, wove" | | 13 | "Lucien's smile, this time, held" | | 14 | "Tension, almost palpable, hung in" | | 15 | "The unspoken history between them" | | 16 | "Rory's fingers stilled in Ptolemy's" | | 17 | "Eva, sensing the unspoken tension," | | 18 | "The night air, crisp and" | | 19 | "The city lights twinkled below," |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "The silence that followed was a precipice, a moment poised between the past and the uncertain future, as Lucien's eyes locked onto Rory's, seeking a truth that …" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "complicated terms – hung like, waiting to be addressed" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |