| 86.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "a low rumble wrapped around [around]" | | 1 | "Her gaze fell briefly [briefly]" | | 2 | "Lucien's eyes narrowed slightly [slightly]" |
| | dialogueSentences | 53 | | tagDensity | 0.434 | | leniency | 0.868 | | rawRatio | 0.13 | | effectiveRatio | 0.113 | |
| 58.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | totalAiIsmAdverbs | 10 | | found | | | highlights | | 0 | "perfectly" | | 1 | "very" | | 2 | "intensely" | | 3 | "suddenly" | | 4 | "slightly" | | 5 | "truly" |
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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) | |
| 8.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "sent shivers down" | | count | 1 |
| | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "familiar" | | 1 | "silk" | | 2 | "unspoken" | | 3 | "stomach" | | 4 | "whisper" | | 5 | "weight" | | 6 | "fragmented" | | 7 | "sense of" | | 8 | "tracing" | | 9 | "intensity" | | 10 | "ensure" | | 11 | "sent shivers down" | | 12 | "fleeting" | | 13 | "warmth" | | 14 | "silence" | | 15 | "echoed" | | 16 | "reverberated" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1196 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 769 | | uniqueNames | 7 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 2 | | Moreau | 2 | | French | 1 | | Rory | 7 | | Lucien | 7 | | Evan | 1 | | Ptolemy | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "something akin to a phantom touch ghosted acros" | | 1 | "quite grasp" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.836 | | wordCount | 1196 | | matches | | 0 | "Not just the cold calculation of an information broker, but a different kind of intensity" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 27.18 | | std | 15.08 | | cv | 0.555 | | sampleLengths | | 0 | 58 | | 1 | 20 | | 2 | 78 | | 3 | 24 | | 4 | 20 | | 5 | 18 | | 6 | 27 | | 7 | 26 | | 8 | 11 | | 9 | 22 | | 10 | 16 | | 11 | 39 | | 12 | 15 | | 13 | 46 | | 14 | 18 | | 15 | 40 | | 16 | 18 | | 17 | 9 | | 18 | 19 | | 19 | 17 | | 20 | 38 | | 21 | 48 | | 22 | 54 | | 23 | 11 | | 24 | 32 | | 25 | 9 | | 26 | 21 | | 27 | 22 | | 28 | 11 | | 29 | 19 | | 30 | 37 | | 31 | 16 | | 32 | 35 | | 33 | 27 | | 34 | 18 | | 35 | 37 | | 36 | 35 | | 37 | 16 | | 38 | 43 | | 39 | 5 | | 40 | 42 | | 41 | 43 | | 42 | 24 | | 43 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 76 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 121 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 103 | | ratio | 0 | | matches | (empty) | |
| 96.46% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 772 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04404145077720207 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.014248704663212436 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.61 | | std | 7.08 | | cv | 0.609 | | sampleLengths | | 0 | 16 | | 1 | 12 | | 2 | 3 | | 3 | 21 | | 4 | 4 | | 5 | 2 | | 6 | 20 | | 7 | 16 | | 8 | 13 | | 9 | 20 | | 10 | 19 | | 11 | 10 | | 12 | 15 | | 13 | 9 | | 14 | 13 | | 15 | 7 | | 16 | 7 | | 17 | 11 | | 18 | 13 | | 19 | 8 | | 20 | 6 | | 21 | 17 | | 22 | 9 | | 23 | 7 | | 24 | 4 | | 25 | 12 | | 26 | 10 | | 27 | 4 | | 28 | 12 | | 29 | 32 | | 30 | 7 | | 31 | 13 | | 32 | 2 | | 33 | 12 | | 34 | 15 | | 35 | 19 | | 36 | 3 | | 37 | 13 | | 38 | 2 | | 39 | 16 | | 40 | 24 | | 41 | 10 | | 42 | 8 | | 43 | 5 | | 44 | 4 | | 45 | 19 | | 46 | 9 | | 47 | 8 | | 48 | 8 | | 49 | 1 |
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| 71.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.44660194174757284 | | totalSentences | 103 | | uniqueOpeners | 46 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Always there, a silent promise" | | 1 | "Just a childhood accident, she" |
| | ratio | 0.028 | |
| 28.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 71 | | matches | | 0 | "Her friend always used a" | | 1 | "She swung the door open," | | 2 | "His platinum blond hair was" | | 3 | "He wore a tailored charcoal" | | 4 | "He offered a small, almost" | | 5 | "His voice, a low rumble," | | 6 | "His French accent deepened the" | | 7 | "She kept her tone flat," | | 8 | "Her gaze fell briefly to" | | 9 | "He paused, letting the single" | | 10 | "His eyes, those mismatched pools," | | 11 | "She leaned against the doorframe," | | 12 | "He stepped closer, and the" | | 13 | "She had hoped no one" | | 14 | "His voice dropped, losing its" | | 15 | "Her hand instinctively went to" | | 16 | "He took another step, closing" | | 17 | "She remembered fragmented dreams, flashes" | | 18 | "She had dismissed them, attributed" | | 19 | "Her voice was a strained" |
| | ratio | 0.479 | |
| 16.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 71 | | matches | | 0 | "The knock came again, heavier" | | 1 | "Rory squinted at the peephole," | | 2 | "Her friend always used a" | | 3 | "This was something else." | | 4 | "She swung the door open," | | 5 | "Lucien Moreau stood on the" | | 6 | "His platinum blond hair was" | | 7 | "He wore a tailored charcoal" | | 8 | "He offered a small, almost" | | 9 | "His voice, a low rumble," | | 10 | "His French accent deepened the" | | 11 | "She kept her tone flat," | | 12 | "A corner of his mouth" | | 13 | "Her gaze fell briefly to" | | 14 | "He paused, letting the single" | | 15 | "Rory crossed her arms, a" | | 16 | "Lucien offered a graceful shrug" | | 17 | "His eyes, those mismatched pools," | | 18 | "She leaned against the doorframe," | | 19 | "He stepped closer, and the" |
| | ratio | 0.887 | |
| 70.42% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 71 | | matches | | 0 | "Now he stood directly in" |
| | ratio | 0.014 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory shook her head, a denial that felt weak even to her own ears." | | 1 | "A sudden, sharp clang echoed from the street below, followed by a guttural growl that reverberated through the very floorboards." |
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| 81.52% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 2 | | matches | | 0 | "She leaned, trying to appear nonchalant" | | 1 | "she insisted, though her voice lacked conviction" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "He pressed (press)" | | 1 | "she insisted (insist)" |
| | dialogueSentences | 53 | | tagDensity | 0.038 | | leniency | 0.075 | | rawRatio | 1 | | effectiveRatio | 0.075 | |