| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.588 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 833 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "intensely" | | 1 | "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 | 833 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "sanctuary" | | 1 | "testament" | | 2 | "enigmatic" | | 3 | "amidst" | | 4 | "reminder" | | 5 | "complex" | | 6 | "tinged" | | 7 | "racing" | | 8 | "familiar" | | 9 | "warmth" | | 10 | "chill" | | 11 | "stark" | | 12 | "tension" | | 13 | "weight" | | 14 | "unspoken" | | 15 | "palpable" | | 16 | "silence" | | 17 | "echoed" | | 18 | "flicker" | | 19 | "dancing" | | 20 | "whisper" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "room fell silent" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "The room fell silent" | | 1 | "The weight of unspoken words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 35 | | matches | (empty) | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 35 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 42 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 831 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 669 | | uniqueNames | 10 | | maxNameDensity | 1.49 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Flat | 1 | | Carter | 1 | | Rory | 7 | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | Frenchman | 2 | | Lucien | 10 | | Ptolemy | 3 |
| | persons | | 0 | "Eva" | | 1 | "Flat" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Moreau" | | 5 | "Lucien" | | 6 | "Ptolemy" |
| | places | | | globalScore | 0.753 | | windowScore | 0.667 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 1 | | matches | | 0 | "something akin to amusement dancing in his ambe" |
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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 | 831 | | matches | (empty) | |
| 87.30% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 42 | | matches | | |
| 47.57% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 41.55 | | std | 13.15 | | cv | 0.317 | | sampleLengths | | 0 | 51 | | 1 | 57 | | 2 | 20 | | 3 | 48 | | 4 | 40 | | 5 | 77 | | 6 | 31 | | 7 | 44 | | 8 | 54 | | 9 | 33 | | 10 | 35 | | 11 | 35 | | 12 | 26 | | 13 | 30 | | 14 | 47 | | 15 | 52 | | 16 | 47 | | 17 | 22 | | 18 | 39 | | 19 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 35 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 101 | | matches | (empty) | |
| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 42 | | ratio | 0.048 | | matches | | 0 | "Lucien Moreau, the Frenchman, leaned against the doorframe, his heterochromatic eyes – one burning amber, the other an unfathomable black – locked onto hers." | | 1 | "The concealed blade within was a reminder of the complex, often perilous, world he inhabited – one she'd briefly, yet intensely, been a part of." |
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| 93.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 670 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.03880597014925373 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.020895522388059702 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 42 | | echoCount | 0 | | echoWords | (empty) | |
| 95.07% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 42 | | mean | 19.79 | | std | 7.67 | | cv | 0.388 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 20 | | 3 | 24 | | 4 | 15 | | 5 | 18 | | 6 | 20 | | 7 | 23 | | 8 | 25 | | 9 | 26 | | 10 | 14 | | 11 | 32 | | 12 | 25 | | 13 | 20 | | 14 | 16 | | 15 | 15 | | 16 | 19 | | 17 | 25 | | 18 | 26 | | 19 | 23 | | 20 | 5 | | 21 | 22 | | 22 | 11 | | 23 | 21 | | 24 | 14 | | 25 | 31 | | 26 | 4 | | 27 | 9 | | 28 | 17 | | 29 | 14 | | 30 | 16 | | 31 | 12 | | 32 | 14 | | 33 | 21 | | 34 | 13 | | 35 | 39 | | 36 | 24 | | 37 | 23 | | 38 | 22 | | 39 | 16 | | 40 | 23 | | 41 | 43 |
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| 86.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5476190476190477 | | totalSentences | 42 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 35 | | matches | | 0 | "His platinum blond hair gleamed," | | 1 | "he murmured, his deep, smooth" | | 2 | "She turned to face him," | | 3 | "he observed, his fingers trailing" | | 4 | "she reminded him, her voice" | | 5 | "he acknowledged, taking a step" | | 6 | "she asked, her voice barely" |
| | ratio | 0.2 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 35 | | matches | | 0 | "The door creaked, its hinges" | | 1 | "Aurora Carter, known to her" | | 2 | "Lucien Moreau, the Frenchman, leaned" | | 3 | "His platinum blond hair gleamed," | | 4 | "The tailored charcoal suit, a" | | 5 | "he murmured, his deep, smooth" | | 6 | "Rory's gaze faltered, her bright" | | 7 | "The concealed blade within was" | | 8 | "The question escaped her lips," | | 9 | "The movement was reluctant, her" | | 10 | "Ptolemy, Eva's tabby cat, who" | | 11 | "The cat's tail twitched once," | | 12 | "Lucien said, bending to stroke" | | 13 | "The simple act, so full" | | 14 | "She turned to face him," | | 15 | "Lucien rose, his eyes never" | | 16 | "he observed, his fingers trailing" | | 17 | "Rory followed him, her movements" | | 18 | "The room fell silent, the" | | 19 | "The weight of unspoken words" |
| | ratio | 0.886 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 35 | | matches | | 0 | "Before her, an unexpected figure" |
| | ratio | 0.029 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Ptolemy, Eva's tabby cat, who had been lounging in a sunbeam, now stretched, arching his back in a languid curve, before padding silently towards Lucien." | | 1 | "In the heartbeat of silence that followed, the flat, with all its clutter and comfort, faded into the background, leaving only the two of them, poised on the pr…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Lucien said, bending to stroke Ptolemy's head" | | 1 | "Rory echoed, a wry smile twisting her lips" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he observed (observe)" | | 2 | "he acknowledged (acknowledge)" |
| | dialogueSentences | 17 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.6 | | effectiveRatio | 0.353 | |