| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 40 | | tagDensity | 0.325 | | leniency | 0.65 | | rawRatio | 0.077 | | effectiveRatio | 0.05 | |
| 77.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1312 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "carefully" | | 3 | "truly" | | 4 | "slowly" |
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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) | |
| 31.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1312 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "silence" | | 1 | "stark" | | 2 | "familiar" | | 3 | "flicker" | | 4 | "weight" | | 5 | "footsteps" | | 6 | "disrupted" | | 7 | "cascading" | | 8 | "stomach" | | 9 | "electric" | | 10 | "fascinating" | | 11 | "intricate" | | 12 | "etched" | | 13 | "trembled" | | 14 | "pulse" | | 15 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | 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 | 1 | | markdownWords | 1 | | totalWords | 1301 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 789 | | uniqueNames | 9 | | maxNameDensity | 0.38 | | worstName | "Lucien" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Moreau" | | discoveredNames | | Moreau | 2 | | French | 1 | | Eva | 2 | | Golden | 1 | | Empress | 1 | | Rory | 2 | | Sumerian | 1 | | Evan | 1 | | Lucien | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.306 | | wordCount | 1301 | | matches | | 0 | "not enough to cross the threshold, but enough for her to catch the scent of him" | | 1 | "not just broken, but dismantled, his entire operation unravelled with a few well-" | | 2 | "not as a broker, but as a man who needs your help" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 28.28 | | std | 20.41 | | cv | 0.722 | | sampleLengths | | 0 | 47 | | 1 | 47 | | 2 | 8 | | 3 | 30 | | 4 | 29 | | 5 | 23 | | 6 | 29 | | 7 | 32 | | 8 | 59 | | 9 | 45 | | 10 | 20 | | 11 | 52 | | 12 | 10 | | 13 | 42 | | 14 | 10 | | 15 | 60 | | 16 | 4 | | 17 | 1 | | 18 | 19 | | 19 | 13 | | 20 | 40 | | 21 | 12 | | 22 | 50 | | 23 | 32 | | 24 | 44 | | 25 | 1 | | 26 | 27 | | 27 | 5 | | 28 | 45 | | 29 | 34 | | 30 | 29 | | 31 | 13 | | 32 | 7 | | 33 | 94 | | 34 | 24 | | 35 | 7 | | 36 | 38 | | 37 | 26 | | 38 | 81 | | 39 | 22 | | 40 | 10 | | 41 | 27 | | 42 | 17 | | 43 | 2 | | 44 | 24 | | 45 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 54.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 97 | | ratio | 0.031 | | matches | | 0 | "“No,” he agreed, his heterochromatic eyes—one amber, one black—taking in the cramped, book-choked space behind her." | | 1 | "He leaned forward slightly, not enough to cross the threshold, but enough for her to catch the scent of him—sandalwood and something colder, sharper, like ozone after a storm." | | 2 | "The space between them crackled with unsaid things—the memory of his hands on her skin, the bitter taste of his betrayal, the electric pull that had never truly died." |
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| 91.67% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 797 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cramped, book-choked space" |
| | adverbCount | 34 | | adverbRatio | 0.04265997490589712 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01631116687578419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 13.41 | | std | 10.67 | | cv | 0.796 | | sampleLengths | | 0 | 26 | | 1 | 21 | | 2 | 19 | | 3 | 21 | | 4 | 2 | | 5 | 5 | | 6 | 8 | | 7 | 17 | | 8 | 7 | | 9 | 6 | | 10 | 21 | | 11 | 8 | | 12 | 8 | | 13 | 15 | | 14 | 3 | | 15 | 16 | | 16 | 10 | | 17 | 16 | | 18 | 16 | | 19 | 29 | | 20 | 17 | | 21 | 13 | | 22 | 22 | | 23 | 14 | | 24 | 1 | | 25 | 3 | | 26 | 5 | | 27 | 20 | | 28 | 16 | | 29 | 3 | | 30 | 9 | | 31 | 9 | | 32 | 7 | | 33 | 8 | | 34 | 10 | | 35 | 42 | | 36 | 7 | | 37 | 3 | | 38 | 19 | | 39 | 19 | | 40 | 16 | | 41 | 6 | | 42 | 4 | | 43 | 1 | | 44 | 19 | | 45 | 13 | | 46 | 18 | | 47 | 7 | | 48 | 15 | | 49 | 12 |
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| 59.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38144329896907214 | | totalSentences | 97 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 67 | | matches | | 0 | "He filled the doorway, a" | | 1 | "He hadn’t changed a bit." | | 2 | "His voice was a low," | | 3 | "It did things to her," | | 4 | "Her hand tightened on the" | | 5 | "She didn’t move." | | 6 | "he agreed, his heterochromatic eyes—one" | | 7 | "He leaned forward slightly, not" | | 8 | "His gaze dropped to the" | | 9 | "She saw the flicker in" | | 10 | "he said softly" | | 11 | "He shifted his weight, and" | | 12 | "It was new." | | 13 | "It looked expensive, an extension" | | 14 | "She knew it wasn’t just" | | 15 | "she asked, her voice tighter" | | 16 | "he said, He gestured with" | | 17 | "He moved past her into" | | 18 | "His presence was an intrusion," | | 19 | "He didn’t look at the" |
| | ratio | 0.612 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 67 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Rory pulled the door open," | | 2 | "He filled the doorway, a" | | 3 | "The dim light from the" | | 4 | "He hadn’t changed a bit." | | 5 | "His voice was a low," | | 6 | "It did things to her," | | 7 | "Things she’d spent two years" | | 8 | "Her hand tightened on the" | | 9 | "A faint, almost imperceptible smile" | | 10 | "She didn’t move." | | 11 | "Ptolemy, Eva’s tabby, wound himself" | | 12 | "he agreed, his heterochromatic eyes—one" | | 13 | "He leaned forward slightly, not" | | 14 | "His gaze dropped to the" | | 15 | "The retort was out before" | | 16 | "She saw the flicker in" | | 17 | "he said softly" | | 18 | "He shifted his weight, and" | | 19 | "It was new." |
| | ratio | 0.925 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Or, rather, she’d never seen" |
| | ratio | 0.015 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "He moved past her into the flat with a fluid grace that made the small space seem even smaller." | | 1 | "His presence was an intrusion, a wave of controlled power that disrupted the dusty, academic peace of Eva’s domain." | | 2 | "The space between them crackled with unsaid things—the memory of his hands on her skin, the bitter taste of his betrayal, the electric pull that had never truly…" | | 3 | "Her father, the barrister, who had argued cases by day and poured over texts far older and darker than any legal precedent by night." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "she asked, her voice tighter than she intended" | | 1 | "he said, his gaze intense," | | 2 | "she said, but the protest was weak, hollow" | | 3 | "he said, his voice a low, urgent command" |
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| 75.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "she whispered (whisper)" | | 2 | "His voice (his voice)" |
| | dialogueSentences | 40 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.3 | | effectiveRatio | 0.15 | |