| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "She pushed away [away]" | | 2 | "he said finally [finally]" |
| | dialogueSentences | 83 | | tagDensity | 0.229 | | leniency | 0.458 | | rawRatio | 0.158 | | effectiveRatio | 0.072 | |
| 71.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1426 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "perfectly" | | 1 | "precisely" | | 2 | "carefully" | | 3 | "suddenly" | | 4 | "really" | | 5 | "slightly" |
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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) | |
| 54.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1426 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stomach" | | 1 | "throb" | | 2 | "tension" | | 3 | "flickered" | | 4 | "traced" | | 5 | "calculating" | | 6 | "efficient" | | 7 | "comfortable" | | 8 | "constructed" | | 9 | "silence" | | 10 | "flicker" | | 11 | "trembled" |
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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 | 1 | | narrationSentences | 109 | | matches | | 0 | "the flicker of surprise" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1424 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 959 | | uniqueNames | 14 | | maxNameDensity | 0.94 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 4 | | Three | 5 | | Marseille | 3 | | Golden | 2 | | Empress | 2 | | French | 1 | | Cold | 1 | | Rory | 6 | | Ptolemy | 3 | | Lucien | 9 | | Moreau | 1 | | Whitechapel | 1 | | Silas | 1 | | Frenchman | 1 |
| | persons | | 0 | "Eva" | | 1 | "Cold" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Moreau" | | 6 | "Silas" | | 7 | "Frenchman" |
| | places | | 0 | "Three" | | 1 | "Marseille" | | 2 | "Golden" | | 3 | "Whitechapel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1424 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 172 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 95 | | mean | 14.99 | | std | 13.75 | | cv | 0.917 | | sampleLengths | | 0 | 9 | | 1 | 31 | | 2 | 4 | | 3 | 8 | | 4 | 12 | | 5 | 39 | | 6 | 7 | | 7 | 4 | | 8 | 4 | | 9 | 1 | | 10 | 4 | | 11 | 42 | | 12 | 1 | | 13 | 5 | | 14 | 23 | | 15 | 6 | | 16 | 2 | | 17 | 43 | | 18 | 14 | | 19 | 8 | | 20 | 4 | | 21 | 3 | | 22 | 33 | | 23 | 14 | | 24 | 19 | | 25 | 36 | | 26 | 7 | | 27 | 6 | | 28 | 25 | | 29 | 6 | | 30 | 15 | | 31 | 19 | | 32 | 28 | | 33 | 13 | | 34 | 2 | | 35 | 26 | | 36 | 3 | | 37 | 1 | | 38 | 3 | | 39 | 48 | | 40 | 20 | | 41 | 6 | | 42 | 14 | | 43 | 30 | | 44 | 6 | | 45 | 4 | | 46 | 6 | | 47 | 61 | | 48 | 8 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 80.24% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 167 | | matches | | 0 | "was wearing" | | 1 | "was stopping" | | 2 | "was starting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 172 | | ratio | 0 | | matches | (empty) | |
| 98.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 961 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.04162330905306972 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.015608740894901144 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 8.28 | | std | 6.21 | | cv | 0.751 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 5 | | 3 | 10 | | 4 | 4 | | 5 | 4 | | 6 | 4 | | 7 | 10 | | 8 | 2 | | 9 | 2 | | 10 | 16 | | 11 | 21 | | 12 | 7 | | 13 | 4 | | 14 | 4 | | 15 | 1 | | 16 | 4 | | 17 | 8 | | 18 | 18 | | 19 | 16 | | 20 | 1 | | 21 | 5 | | 22 | 2 | | 23 | 15 | | 24 | 6 | | 25 | 6 | | 26 | 2 | | 27 | 5 | | 28 | 27 | | 29 | 11 | | 30 | 7 | | 31 | 7 | | 32 | 8 | | 33 | 4 | | 34 | 3 | | 35 | 7 | | 36 | 6 | | 37 | 8 | | 38 | 12 | | 39 | 14 | | 40 | 12 | | 41 | 7 | | 42 | 6 | | 43 | 14 | | 44 | 2 | | 45 | 14 | | 46 | 5 | | 47 | 2 | | 48 | 5 | | 49 | 1 |
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| 66.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.42441860465116277 | | totalSentences | 172 | | uniqueOpeners | 73 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 95 | | matches | | 0 | "Instead, she dug her nails" | | 1 | "Instead, he reached up and" | | 2 | "Somewhere outside, a car alarm" | | 3 | "Finally, Lucien nodded." |
| | ratio | 0.042 | |
| 85.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 95 | | matches | | 0 | "He tilted his head, the" | | 1 | "He came in anyway." | | 2 | "She kept her voice flat" | | 3 | "She wanted to throw something" | | 4 | "She'd expected deflection, that particular" | | 5 | "It came out sharp, bitter." | | 6 | "His expression shifted into something" | | 7 | "He took another step, close" | | 8 | "he said quietly" | | 9 | "He didn't answer." | | 10 | "She should pull away." | | 11 | "She stayed perfectly still." | | 12 | "he finally said" | | 13 | "She knew it was a" | | 14 | "She'd spent three months convincing" | | 15 | "she said, redirecting" | | 16 | "He moved to the cluttered" | | 17 | "His finger traced a line" | | 18 | "He glanced up" | | 19 | "He met her eyes" |
| | ratio | 0.337 | |
| 86.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 95 | | matches | | 0 | "The door swung open before" | | 1 | "Lucien stood in the dim" | | 2 | "Both fixed on her with" | | 3 | "Rory gripped the doorframe." | | 4 | "He tilted his head, the" | | 5 | "Ptolemy wound between her ankles" | | 6 | "He came in anyway." | | 7 | "The flat felt smaller with" | | 8 | "Eva's books and scrolls covered" | | 9 | "Lucien picked his way through" | | 10 | "The lamplight carved shadows beneath" | | 11 | "The question hung between them." | | 12 | "Rory crossed her arms over" | | 13 | "She kept her voice flat" | | 14 | "She wanted to throw something" | | 15 | "The mug on the table," | | 16 | "Lucien set his cane against" | | 17 | "The words caught her off" | | 18 | "She'd expected deflection, that particular" | | 19 | "It came out sharp, bitter." |
| | ratio | 0.747 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 95 | | matches | | | ratio | 0.011 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "A distant, malevolent force that had shaped him into the man he was, cold and calculating and brutally efficient." | | 1 | "Something that remembered the way he'd looked at her across that warehouse, blood on his hands and terror in his mismatched eyes." | | 2 | "Something that remembered the words he'd whispered before walking away." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "He tilted, the movement almost reptilian" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 83 | | tagDensity | 0.084 | | leniency | 0.169 | | rawRatio | 0.143 | | effectiveRatio | 0.024 | |