| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "He moved further [further]" |
| | dialogueSentences | 44 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.056 | | effectiveRatio | 0.045 | |
| 82.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1418 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "gently" | | 1 | "slowly" | | 2 | "very" | | 3 | "truly" | | 4 | "suddenly" |
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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) | |
| 1.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1418 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "echoed" | | 1 | "chill" | | 2 | "intensity" | | 3 | "weight" | | 4 | "flickered" | | 5 | "warmth" | | 6 | "rhythmic" | | 7 | "predator" | | 8 | "predictable" | | 9 | "could feel" | | 10 | "marble" | | 11 | "stomach" | | 12 | "pulse" | | 13 | "familiar" | | 14 | "potential" | | 15 | "pawn" | | 16 | "navigate" | | 17 | "vibrated" | | 18 | "electric" | | 19 | "charged" | | 20 | "whisper" | | 21 | "encounter" | | 22 | "traced" | | 23 | "flicker" |
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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 | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1411 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 921 | | uniqueNames | 14 | | maxNameDensity | 0.43 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Carter | 1 | | Yu-Fei | 1 | | Moreau | 1 | | October | 1 | | French-accented | 1 | | English | 1 | | Brick | 1 | | Lane | 1 | | Eva | 3 | | Underneath | 1 | | Kensington | 1 | | Lucien | 4 | | London | 1 | | Rory | 2 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "October" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Kensington" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "something like night air before rain" |
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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 | 1411 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 32.81 | | std | 18.4 | | cv | 0.561 | | sampleLengths | | 0 | 35 | | 1 | 5 | | 2 | 54 | | 3 | 22 | | 4 | 24 | | 5 | 7 | | 6 | 36 | | 7 | 14 | | 8 | 57 | | 9 | 18 | | 10 | 38 | | 11 | 2 | | 12 | 33 | | 13 | 44 | | 14 | 49 | | 15 | 4 | | 16 | 37 | | 17 | 21 | | 18 | 29 | | 19 | 32 | | 20 | 52 | | 21 | 70 | | 22 | 9 | | 23 | 49 | | 24 | 23 | | 25 | 18 | | 26 | 40 | | 27 | 12 | | 28 | 81 | | 29 | 24 | | 30 | 48 | | 31 | 52 | | 32 | 14 | | 33 | 30 | | 34 | 63 | | 35 | 17 | | 36 | 29 | | 37 | 57 | | 38 | 36 | | 39 | 40 | | 40 | 43 | | 41 | 23 | | 42 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 115 | | ratio | 0.052 | | matches | | 0 | "The scent of him arrived first—bergamot, old leather, and something like night air before rain." | | 1 | "“Was any of it?” He surveyed the chaos of the flat—a battleground of books and half-eaten meals, the tabby cat’s food bowl empty by the sink." | | 2 | "She wanted to pretend the last six months—since she’d walked out of his Kensington flat, leaving her key on the marble island—hadn’t happened." | | 3 | "The ghost of his touch, the taste of his mouth, the sharp, thrilling danger he carried in his pocket—it all rushed back, a flood she’d thought she’d dammed." | | 4 | "The cryptic symbols, the references to binding rituals, the maps of ley lines Eva drew over London—they hadn’t just been academic." | | 5 | "His expression hadn’t changed, but something in his heterochromatic eyes had shifted—a flicker of cold appraisal, of recognition." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 936 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03311965811965812 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009615384615384616 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12.27 | | std | 9.19 | | cv | 0.749 | | sampleLengths | | 0 | 13 | | 1 | 22 | | 2 | 5 | | 3 | 15 | | 4 | 21 | | 5 | 18 | | 6 | 3 | | 7 | 19 | | 8 | 8 | | 9 | 8 | | 10 | 8 | | 11 | 7 | | 12 | 17 | | 13 | 3 | | 14 | 9 | | 15 | 7 | | 16 | 6 | | 17 | 4 | | 18 | 4 | | 19 | 18 | | 20 | 7 | | 21 | 21 | | 22 | 11 | | 23 | 13 | | 24 | 5 | | 25 | 26 | | 26 | 4 | | 27 | 5 | | 28 | 3 | | 29 | 2 | | 30 | 16 | | 31 | 14 | | 32 | 3 | | 33 | 19 | | 34 | 15 | | 35 | 4 | | 36 | 6 | | 37 | 8 | | 38 | 19 | | 39 | 8 | | 40 | 8 | | 41 | 6 | | 42 | 4 | | 43 | 8 | | 44 | 4 | | 45 | 25 | | 46 | 3 | | 47 | 3 | | 48 | 4 | | 49 | 11 |
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| 51.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3652173913043478 | | totalSentences | 115 | | uniqueOpeners | 42 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 88 | | matches | | 0 | "Just him and the rain-glossed" | | 1 | "Of course he had." |
| | ratio | 0.023 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 88 | | matches | | 0 | "He leaned on his ivory-handled" | | 1 | "She gripped the door until" | | 2 | "Her gaze flickered past him," | | 3 | "She tried to swing the" | | 4 | "His cane tip jammed the" | | 5 | "He didn’t wait for her" | | 6 | "His presence was a slow," | | 7 | "He stepped inside, bringing the" | | 8 | "She backed away until her" | | 9 | "He surveyed the chaos of" | | 10 | "His gaze didn’t rush." | | 11 | "It catalogued, assessed, filed away." | | 12 | "He moved further in, his" | | 13 | "He stopped by the mismatched" | | 14 | "she shot back, the old" | | 15 | "She crossed her arms, the" | | 16 | "It felt raw under his" | | 17 | "He unbuttoned his suit jacket," | | 18 | "He looked deceptively relaxed, a" | | 19 | "He didn’t reach for a" |
| | ratio | 0.568 | |
| 16.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 88 | | matches | | 0 | "The deadbolt turned with a" | | 1 | "Aurora Carter pulled the door" | | 2 | "Lucien Moreau filled the frame." | | 3 | "The scent of him arrived" | | 4 | "He leaned on his ivory-handled" | | 5 | "The name was a weight" | | 6 | "She gripped the door until" | | 7 | "The crescent scar on her" | | 8 | "Her gaze flickered past him," | | 9 | "She tried to swing the" | | 10 | "His cane tip jammed the" | | 11 | "A quiet, absolute statement." | | 12 | "He didn’t wait for her" | | 13 | "His presence was a slow," | | 14 | "He stepped inside, bringing the" | | 15 | "The three deadbolts she’d thrown" | | 16 | "She backed away until her" | | 17 | "He surveyed the chaos of" | | 18 | "His gaze didn’t rush." | | 19 | "It catalogued, assessed, filed away." |
| | ratio | 0.886 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | 0 | "Now, standing in the presence" |
| | ratio | 0.011 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "One amber eye, one black, fixed on her with an intensity that pinned her to the warped floorboards." | | 1 | "Now, standing in the presence of a man who was half-demon, the obsession felt terrifyingly practical." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice low" | | 1 | "she asked, though her pulse had begun a frantic, familiar rhythm" | | 2 | "he said, his voice a low rumble that went through her bones," | | 3 | "he murmured, his thumb still resting on her pulse point," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 44 | | tagDensity | 0.114 | | leniency | 0.227 | | rawRatio | 0.2 | | effectiveRatio | 0.045 | |