| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 72.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 740 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "lightly" |
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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) | |
| 25.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 740 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echoed" | | 1 | "flicker" | | 2 | "unreadable" | | 3 | "tension" | | 4 | "measured" | | 5 | "silence" | | 6 | "flicked" | | 7 | "wavered" | | 8 | "charged" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 38 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 38 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 50 | | 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 | 733 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 565 | | uniqueNames | 5 | | maxNameDensity | 0.71 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 4 | | Moreau | 1 | | Frenchman | 1 | | Gesturing | 1 | | Aurora | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Frenchman" | | 3 | "Aurora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like a piece of some strange, unto" | | 1 | "quite a smile" | | 2 | "sounded like finality" | | 3 | "as if weighing the air between them" | | 4 | "as if grounding herself to reality" |
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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 | 733 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 50 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 24.43 | | std | 14.12 | | cv | 0.578 | | sampleLengths | | 0 | 65 | | 1 | 63 | | 2 | 33 | | 3 | 18 | | 4 | 27 | | 5 | 14 | | 6 | 25 | | 7 | 47 | | 8 | 21 | | 9 | 18 | | 10 | 33 | | 11 | 38 | | 12 | 17 | | 13 | 5 | | 14 | 26 | | 15 | 37 | | 16 | 8 | | 17 | 16 | | 18 | 21 | | 19 | 19 | | 20 | 27 | | 21 | 14 | | 22 | 29 | | 23 | 19 | | 24 | 22 | | 25 | 7 | | 26 | 20 | | 27 | 19 | | 28 | 15 | | 29 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 38 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 50 | | ratio | 0.14 | | matches | | 0 | "It was almost midnight—no one came to this floor at this hour unless they had no regard for social niceties or happened to belong in her tangled past." | | 1 | "There stood Lucien Moreau—the Frenchman wrapped in the charcoal suit that always felt like a piece of some strange, untouchable world." | | 2 | "His scent drifted faintly—cedar, rain, something sharp beneath it all." | | 3 | "The scar on her left wrist itched—a crescent moon in her memory, a faded wound she kept beneath sleeves and reticence." | | 4 | "Her eyes darted past him into the cramped familiarity of her flat—the cluttered kitchen counter, the worn couch sagging from endless nights of silent brooding, the single light swinging low from above." | | 5 | "He hadn’t changed; neither had the flicker of a storm that swam in his gaze." | | 6 | "After everything that had exploded between them last time—the accusations, the silences that stretched like crevices too wide to bridge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 572 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03146853146853147 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012237762237762238 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 50 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 50 | | mean | 14.66 | | std | 6.85 | | cv | 0.467 | | sampleLengths | | 0 | 21 | | 1 | 16 | | 2 | 28 | | 3 | 14 | | 4 | 10 | | 5 | 21 | | 6 | 18 | | 7 | 23 | | 8 | 10 | | 9 | 18 | | 10 | 6 | | 11 | 21 | | 12 | 7 | | 13 | 7 | | 14 | 14 | | 15 | 11 | | 16 | 32 | | 17 | 15 | | 18 | 21 | | 19 | 18 | | 20 | 20 | | 21 | 13 | | 22 | 24 | | 23 | 14 | | 24 | 17 | | 25 | 5 | | 26 | 22 | | 27 | 4 | | 28 | 18 | | 29 | 19 | | 30 | 8 | | 31 | 14 | | 32 | 2 | | 33 | 12 | | 34 | 9 | | 35 | 15 | | 36 | 4 | | 37 | 27 | | 38 | 14 | | 39 | 11 | | 40 | 18 | | 41 | 19 | | 42 | 22 | | 43 | 7 | | 44 | 7 | | 45 | 13 | | 46 | 19 | | 47 | 15 | | 48 | 5 | | 49 | 5 |
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| 82.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.54 | | totalSentences | 50 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 38 | | matches | | 0 | "It was almost midnight—no one" | | 1 | "She stepped forward, caught in" | | 2 | "His amber eye caught the" | | 3 | "His posture was loose but" | | 4 | "His scent drifted faintly—cedar, rain," | | 5 | "he remarked, voice a silky" | | 6 | "She stared for a long" | | 7 | "she said, voice flat and" | | 8 | "Her eyes darted past him" | | 9 | "He hadn’t changed; neither had" | | 10 | "she caught herself, biting down" | | 11 | "His voice dropped, the edge" | | 12 | "she snapped, stepping inside, closing" | | 13 | "He followed, the sound of" | | 14 | "she said, voice rising enough" | | 15 | "His amber eye caught the" | | 16 | "He stopped, the silence suddenly" | | 17 | "She folded her arms, turning" | | 18 | "He stepped closer, the distance" | | 19 | "Her voice wavered despite herself," |
| | ratio | 0.632 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 38 | | matches | | 0 | "Aurora’s fingers froze on the" | | 1 | "It was almost midnight—no one" | | 2 | "She stepped forward, caught in" | | 3 | "The latch clicked, and the" | | 4 | "There stood Lucien Moreau—the Frenchman" | | 5 | "His amber eye caught the" | | 6 | "His posture was loose but" | | 7 | "His scent drifted faintly—cedar, rain," | | 8 | "he remarked, voice a silky" | | 9 | "She stared for a long" | | 10 | "The scar on her left" | | 11 | "she said, voice flat and" | | 12 | "The corner of his mouth" | | 13 | "Her eyes darted past him" | | 14 | "He hadn’t changed; neither had" | | 15 | "she caught herself, biting down" | | 16 | "His voice dropped, the edge" | | 17 | "she snapped, stepping inside, closing" | | 18 | "He followed, the sound of" | | 19 | "she said, voice rising enough" |
| | ratio | 0.868 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 38 | | matches | | 0 | "Before she’d left without a" |
| | ratio | 0.026 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "After everything that had exploded between them last time—the accusations, the silences that stretched like crevices too wide to bridge." | | 1 | "She folded her arms, turning away, the want strangling the words from her throat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, voice flat and cool" | | 1 | "she said, voice rising enough to challenge but steady" | | 2 | "Her voice wavered, the walls closing in with old ache" | | 3 | "Her fingers brushed, as if grounding herself to reality" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |