| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1262 | | 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) | |
| 28.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1262 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "reminder" | | 1 | "churned" | | 2 | "rhythmic" | | 3 | "sanctuary" | | 4 | "gleaming" | | 5 | "pristine" | | 6 | "predator" | | 7 | "lilt" | | 8 | "weight" | | 9 | "calculating" | | 10 | "navigated" | | 11 | "charged" | | 12 | "stomach" | | 13 | "throbbed" | | 14 | "unreadable" | | 15 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 125 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1260 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 11 | | matches | | 0 | "Rory, Rory, he said, the syllables rolling off his tongue with that French lilt she remembered from the nights before th…" | | 1 | "I told you to stay away, she said." | | 2 | "It is not possible, he replied." | | 3 | "I am not here to fix you, he said." | | 4 | "To warn you, he said simply." | | 5 | "I thought you were done, she whispered." | | 6 | "I am not helping you, Lucien said." | | 7 | "Take it, he said." | | 8 | "If you are not here to fix me, she asked." | | 9 | "Wait, she said." | | 10 | "If I see your face again, he said without turning, do not open the door." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1260 | | uniqueNames | 14 | | maxNameDensity | 0.71 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 1 | | Yu-Fei | 1 | | Moreau | 1 | | London | 2 | | Rory | 9 | | French | 1 | | Brick | 1 | | Lane | 1 | | Mayfair | 1 | | East | 1 | | End | 1 | | Evan | 1 | | Cardiff | 1 | | Lucien | 4 |
| | persons | | 0 | "Eva" | | 1 | "Yu-Fei" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Lucien" |
| | places | | 0 | "London" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Mayfair" | | 4 | "East" | | 5 | "End" | | 6 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like a gunshot" | | 1 | "eyes that seemed to have seen too much of him" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.794 | | wordCount | 1260 | | matches | | 0 | "not with the finality of a key turning in the night, but with the slow, deliberate scrape of metal on metal" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 31.5 | | std | 25.06 | | cv | 0.795 | | sampleLengths | | 0 | 91 | | 1 | 54 | | 2 | 42 | | 3 | 7 | | 4 | 61 | | 5 | 37 | | 6 | 13 | | 7 | 53 | | 8 | 29 | | 9 | 25 | | 10 | 15 | | 11 | 39 | | 12 | 23 | | 13 | 73 | | 14 | 6 | | 15 | 31 | | 16 | 28 | | 17 | 4 | | 18 | 45 | | 19 | 63 | | 20 | 16 | | 21 | 31 | | 22 | 41 | | 23 | 4 | | 24 | 27 | | 25 | 19 | | 26 | 21 | | 27 | 13 | | 28 | 9 | | 29 | 41 | | 30 | 14 | | 31 | 3 | | 32 | 5 | | 33 | 4 | | 34 | 23 | | 35 | 15 | | 36 | 105 | | 37 | 29 | | 38 | 86 | | 39 | 15 |
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| 94.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 125 | | matches | | 0 | "been curled" | | 1 | "was slicked" | | 2 | "being hunted" | | 3 | "was mixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 224 | | matches | | 0 | "was still running" | | 1 | "was standing" | | 2 | "was talking" |
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| 97.14% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 125 | | ratio | 0.016 | | matches | | 0 | "She recognized the heterochromatic gaze immediately—one amber eye catching the light like polished honey, the other a void of inky black." | | 1 | "He stepped closer, and she caught the scent of him—old paper, expensive cologne, and something metallic underneath, like ozone before a storm." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1264 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 28 | | adverbRatio | 0.022151898734177215 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007120253164556962 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 10.08 | | std | 6.67 | | cv | 0.662 | | sampleLengths | | 0 | 24 | | 1 | 19 | | 2 | 21 | | 3 | 27 | | 4 | 12 | | 5 | 24 | | 6 | 18 | | 7 | 2 | | 8 | 9 | | 9 | 16 | | 10 | 10 | | 11 | 5 | | 12 | 3 | | 13 | 4 | | 14 | 14 | | 15 | 19 | | 16 | 18 | | 17 | 10 | | 18 | 4 | | 19 | 12 | | 20 | 21 | | 21 | 6 | | 22 | 7 | | 23 | 15 | | 24 | 21 | | 25 | 17 | | 26 | 22 | | 27 | 7 | | 28 | 8 | | 29 | 17 | | 30 | 8 | | 31 | 7 | | 32 | 6 | | 33 | 22 | | 34 | 11 | | 35 | 2 | | 36 | 2 | | 37 | 3 | | 38 | 16 | | 39 | 9 | | 40 | 20 | | 41 | 7 | | 42 | 14 | | 43 | 23 | | 44 | 6 | | 45 | 6 | | 46 | 8 | | 47 | 4 | | 48 | 13 | | 49 | 3 |
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| 37.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.24 | | totalSentences | 125 | | uniqueOpeners | 30 | |
| 28.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 116 | | matches | | 0 | "Then what are you here" |
| | ratio | 0.009 | |
| 2.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 63 | | totalSentences | 116 | | matches | | 0 | "It was a grounding touch," | | 1 | "She turned toward the door," | | 2 | "They had taken her twenty" | | 3 | "She hated the feeling of" | | 4 | "She had been expecting Eva," | | 5 | "She had not expected him." | | 6 | "He stood in the narrow" | | 7 | "His platinum hair was slicked" | | 8 | "He looked impossibly composed, a" | | 9 | "Her heart hammered against her" | | 10 | "She recognized the heterochromatic gaze" | | 11 | "You shouldn’t be here, she" | | 12 | "She did not say it" | | 13 | "He did not look at" | | 14 | "His eyes locked on hers," | | 15 | "She remembered the nights before" | | 16 | "He didn’t offer to take" | | 17 | "He just stood there, leaning" | | 18 | "I told you to stay" | | 19 | "Her voice sounded steadier than" |
| | ratio | 0.543 | |
| 72.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 116 | | matches | | 0 | "The smell of spiced lamb" | | 1 | "Rory stood with her back" | | 2 | "It was a grounding touch," | | 3 | "The curry house below churned" | | 4 | "She turned toward the door," | | 5 | "The lock clicked, not with" | | 6 | "Ptolemy, the tabby cat, hissed" | | 7 | "They had taken her twenty" | | 8 | "She hated the feeling of" | | 9 | "She had been expecting Eva," | | 10 | "She had not expected him." | | 11 | "The chain rattled." | | 12 | "The door swung open." | | 13 | "He stood in the narrow" | | 14 | "Lucien Moreau adjusted the ivory" | | 15 | "His platinum hair was slicked" | | 16 | "He looked impossibly composed, a" | | 17 | "Rory did not move." | | 18 | "Her heart hammered against her" | | 19 | "She recognized the heterochromatic gaze" |
| | ratio | 0.776 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 7 | | totalSentences | 116 | | matches | | 0 | "To warn you, he said" | | 1 | "If he said she was" | | 2 | "If you are not here" | | 3 | "If you are not helping." | | 4 | "Because I am the only" | | 5 | "Because you look good in" | | 6 | "If I see your face" |
| | ratio | 0.06 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 2 | | matches | | 0 | "His platinum hair was slicked back, pristine despite the evening rain that dampened the London air around him." | | 1 | "He just stood there, leaning his weight on the cane, his posture relaxed but his gaze calculating." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |