| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory asked again [again]" |
| | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.25 | | effectiveRatio | 0.182 | |
| 86.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 752 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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 | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "racing" | | 1 | "implication" | | 2 | "rhythmic" | | 3 | "familiar" | | 4 | "tension" | | 5 | "scanning" | | 6 | "pulse" | | 7 | "navigated" | | 8 | "wavered" | | 9 | "potential" | | 10 | "flicker" | | 11 | "unspoken" | | 12 | "calculating" | | 13 | "silence" | | 14 | "palpable" | | 15 | "comforting" | | 16 | "intensity" | | 17 | "pounding" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 49 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 49 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 752 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 668 | | uniqueNames | 7 | | maxNameDensity | 2.1 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Yu-Fei | 1 | | Moreau | 1 | | Frenchman | 1 | | French | 1 | | Rory | 14 | | Eva | 1 | | Lucien | 12 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.452 | | windowScore | 0.667 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "something like regret flicker across his fac" |
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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 | 752 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 85.68% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 37.6 | | std | 16.92 | | cv | 0.45 | | sampleLengths | | 0 | 67 | | 1 | 46 | | 2 | 45 | | 3 | 26 | | 4 | 18 | | 5 | 69 | | 6 | 47 | | 7 | 37 | | 8 | 16 | | 9 | 27 | | 10 | 51 | | 11 | 10 | | 12 | 21 | | 13 | 58 | | 14 | 28 | | 15 | 15 | | 16 | 30 | | 17 | 48 | | 18 | 46 | | 19 | 47 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 49 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 117 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 56 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 670 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar." |
| | adverbCount | 17 | | adverbRatio | 0.025373134328358207 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005970149253731343 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 13.43 | | std | 5.95 | | cv | 0.443 | | sampleLengths | | 0 | 20 | | 1 | 13 | | 2 | 16 | | 3 | 14 | | 4 | 2 | | 5 | 2 | | 6 | 10 | | 7 | 16 | | 8 | 12 | | 9 | 8 | | 10 | 24 | | 11 | 14 | | 12 | 7 | | 13 | 22 | | 14 | 4 | | 15 | 13 | | 16 | 5 | | 17 | 7 | | 18 | 14 | | 19 | 14 | | 20 | 22 | | 21 | 12 | | 22 | 19 | | 23 | 3 | | 24 | 25 | | 25 | 8 | | 26 | 20 | | 27 | 9 | | 28 | 11 | | 29 | 5 | | 30 | 12 | | 31 | 15 | | 32 | 10 | | 33 | 17 | | 34 | 24 | | 35 | 10 | | 36 | 4 | | 37 | 17 | | 38 | 15 | | 39 | 22 | | 40 | 21 | | 41 | 12 | | 42 | 16 | | 43 | 15 | | 44 | 13 | | 45 | 7 | | 46 | 10 | | 47 | 14 | | 48 | 14 | | 49 | 20 |
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| 53.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.32142857142857145 | | totalSentences | 56 | | uniqueOpeners | 18 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 47 | | matches | | 0 | "Then, Lucien's mask slipped back" | | 1 | "Then, it was gone, replaced" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 47 | | matches | | 0 | "She hadn't expected visitors, especially" | | 1 | "Her heart stumbled, a skipped" | | 2 | "They hadn't parted on the" | | 3 | "She turned it, and the" | | 4 | "She had nothing to prove" | | 5 | "He strode past her, his" | | 6 | "She followed him into the" | | 7 | "They'd left things...unresolved." | | 8 | "He shrugged, the motion elegant" | | 9 | "She chose the couch, trying" | | 10 | "he said, his voice dripping" |
| | ratio | 0.234 | |
| 13.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 47 | | matches | | 0 | "Rory's hand hesitated on the" | | 1 | "The knock had been insistent," | | 2 | "She hadn't expected visitors, especially" | | 3 | "The peephole revealed a familiar," | | 4 | "Her heart stumbled, a skipped" | | 5 | "They hadn't parted on the" | | 6 | "Rory's fingers closed around the" | | 7 | "She turned it, and the" | | 8 | "Lucien's gaze swept over her," | | 9 | "Rory felt a flutter in" | | 10 | "She had nothing to prove" | | 11 | "Lucien said, his voice low" | | 12 | "Rory stepped aside, the motion" | | 13 | "Lucien's smile was a thin," | | 14 | "He strode past her, his" | | 15 | "Rory shut the door behind" | | 16 | "She followed him into the" | | 17 | "Ptolemy, Eva's tabby, was watching" | | 18 | "Rory asked, trying to sound" | | 19 | "They'd left things...unresolved." |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "Rory's hand hesitated on the doorknob, her mind racing with the implication of the person standing on the other side." | | 1 | "Her heart stumbled, a skipped beat that left her lightheaded." | | 2 | "Lucien's gaze swept over her, a quick assessment that lingered on the dark smudges under her eyes and the ratty old t-shirt she wore." | | 3 | "The memory of his lips on hers, the spark of attraction that had flared to life, still lingered in her mind like an open flame." | | 4 | "For an instant, Rory thought she saw something there, a spark of attraction that threatened to consume them both." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory asked, trying to sound casual despite the thrum of her pulse" | | 1 | "Rory asked again, her patience wearing thin" | | 2 | "he said, his voice dripping with sarcasm," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |