| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1463 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 48.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1463 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "trembled" | | 2 | "echoed" | | 3 | "flicked" | | 4 | "shimmered" | | 5 | "gleaming" | | 6 | "silence" | | 7 | "tension" | | 8 | "porcelain" | | 9 | "fluttered" | | 10 | "weight" | | 11 | "reminder" | | 12 | "traced" | | 13 | "flicker" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 156 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 156 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 189 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1458 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1240 | | uniqueNames | 7 | | maxNameDensity | 1.77 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Rory | 22 | | Persian | 1 | | Welsh | 2 | | Ptolemy | 5 | | Lucien | 9 | | Cardiff | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | | | globalScore | 0.613 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | 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 | 1458 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 189 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 23.9 | | std | 15.18 | | cv | 0.635 | | sampleLengths | | 0 | 49 | | 1 | 8 | | 2 | 34 | | 3 | 31 | | 4 | 9 | | 5 | 13 | | 6 | 31 | | 7 | 20 | | 8 | 49 | | 9 | 11 | | 10 | 13 | | 11 | 37 | | 12 | 30 | | 13 | 32 | | 14 | 23 | | 15 | 47 | | 16 | 44 | | 17 | 14 | | 18 | 12 | | 19 | 5 | | 20 | 8 | | 21 | 25 | | 22 | 13 | | 23 | 32 | | 24 | 9 | | 25 | 55 | | 26 | 22 | | 27 | 54 | | 28 | 3 | | 29 | 1 | | 30 | 50 | | 31 | 28 | | 32 | 15 | | 33 | 27 | | 34 | 26 | | 35 | 12 | | 36 | 33 | | 37 | 34 | | 38 | 15 | | 39 | 18 | | 40 | 14 | | 41 | 9 | | 42 | 3 | | 43 | 28 | | 44 | 6 | | 45 | 6 | | 46 | 55 | | 47 | 27 | | 48 | 11 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 241 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 189 | | ratio | 0.005 | | matches | | 0 | "One amber eye caught the harsh hallway lamp; the other, dark as spilled ink, tracked Rory’s every move." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1245 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.018473895582329317 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008032128514056225 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 189 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 189 | | mean | 7.71 | | std | 4.71 | | cv | 0.61 | | sampleLengths | | 0 | 6 | | 1 | 4 | | 2 | 5 | | 3 | 16 | | 4 | 18 | | 5 | 8 | | 6 | 12 | | 7 | 11 | | 8 | 11 | | 9 | 15 | | 10 | 10 | | 11 | 3 | | 12 | 3 | | 13 | 7 | | 14 | 2 | | 15 | 9 | | 16 | 4 | | 17 | 19 | | 18 | 12 | | 19 | 4 | | 20 | 10 | | 21 | 6 | | 22 | 3 | | 23 | 9 | | 24 | 8 | | 25 | 5 | | 26 | 5 | | 27 | 7 | | 28 | 12 | | 29 | 11 | | 30 | 7 | | 31 | 6 | | 32 | 12 | | 33 | 4 | | 34 | 5 | | 35 | 11 | | 36 | 5 | | 37 | 4 | | 38 | 6 | | 39 | 3 | | 40 | 6 | | 41 | 11 | | 42 | 8 | | 43 | 9 | | 44 | 4 | | 45 | 11 | | 46 | 2 | | 47 | 7 | | 48 | 9 | | 49 | 5 |
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| 47.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2698412698412698 | | totalSentences | 189 | | uniqueOpeners | 51 | |
| 22.83% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 146 | | matches | | 0 | "Bright blue eyes studied him" |
| | ratio | 0.007 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 73 | | totalSentences | 146 | | matches | | 0 | "He stood drenched, charcoal suit" | | 1 | "He inhaled deep." | | 2 | "He ducked his head, hair" | | 3 | "She leaned a shoulder against" | | 4 | "He clicked the cane tip" | | 5 | "Her toes caught the edge" | | 6 | "She crossed her arms tight," | | 7 | "Her voice stayed flat" | | 8 | "He shrugged, water sleeting off" | | 9 | "She pivoted, braced her hips." | | 10 | "He stepped past her, shoulders" | | 11 | "She flipped it closed." | | 12 | "He rubbed one eye with" | | 13 | "She stood, shoved the journal" | | 14 | "He unbuttoned his suit jacket," | | 15 | "He let the damp fabric" | | 16 | "He tucked the blade-cane in" | | 17 | "He cracked a grin that" | | 18 | "He took another step." | | 19 | "She scooped him up, pressed" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 137 | | totalSentences | 146 | | matches | | 0 | "Rory hauled the third deadbolt" | | 1 | "The door swung inward." | | 2 | "Lucien Moreau filled the frame." | | 3 | "He stood drenched, charcoal suit" | | 4 | "Ptolemy arched his back, hissing" | | 5 | "Rory ordered and yanked the" | | 6 | "A click sounded as she" | | 7 | "The cat skidded past her" | | 8 | "Lucien braced his shoulder against" | | 9 | "Drops of rain pooled in" | | 10 | "He inhaled deep." | | 11 | "Rory pressed her palm against" | | 12 | "He ducked his head, hair" | | 13 | "She leaned a shoulder against" | | 14 | "Lucien’s smile curled sharp." | | 15 | "He clicked the cane tip" | | 16 | "Rory stepped back." | | 17 | "Her toes caught the edge" | | 18 | "The flat smelled of parchment" | | 19 | "Scrolls spilled from every shelf." |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 146 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 1 | | matches | | 0 | "Her reflection shimmered in the cabinet’s glass door: straight hair, pale skin, that crescent-shaped scar gleaming on her wrist as though branded." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory ordered (order)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0.4 | | effectiveRatio | 0.098 | |