| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 880 | | totalAiIsmAdverbs | 1 | | 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) | |
| 54.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 880 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "weight" | | 1 | "flicked" | | 2 | "stomach" | | 3 | "charged" | | 4 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 876 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 618 | | uniqueNames | 6 | | maxNameDensity | 1.46 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Ptolemy | 3 | | French | 1 | | Brick | 1 | | Lane | 1 | | Lucien | 8 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Lucien" |
| | places | | | globalScore | 0.772 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 876 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 20.86 | | std | 16.64 | | cv | 0.798 | | sampleLengths | | 0 | 48 | | 1 | 46 | | 2 | 5 | | 3 | 9 | | 4 | 41 | | 5 | 1 | | 6 | 15 | | 7 | 20 | | 8 | 10 | | 9 | 22 | | 10 | 81 | | 11 | 6 | | 12 | 6 | | 13 | 3 | | 14 | 19 | | 15 | 5 | | 16 | 3 | | 17 | 7 | | 18 | 44 | | 19 | 23 | | 20 | 27 | | 21 | 13 | | 22 | 49 | | 23 | 15 | | 24 | 22 | | 25 | 13 | | 26 | 27 | | 27 | 26 | | 28 | 15 | | 29 | 44 | | 30 | 33 | | 31 | 7 | | 32 | 20 | | 33 | 6 | | 34 | 27 | | 35 | 35 | | 36 | 28 | | 37 | 25 | | 38 | 10 | | 39 | 10 | | 40 | 5 | | 41 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 96 | | ratio | 0.01 | | matches | | 0 | "Outside, the sounds of Brick Lane carried on—laughter, the clatter of dishes, the hum of life moving forward." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 620 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.02903225806451613 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0032258064516129032 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 9.13 | | std | 6.57 | | cv | 0.72 | | sampleLengths | | 0 | 12 | | 1 | 16 | | 2 | 20 | | 3 | 24 | | 4 | 15 | | 5 | 7 | | 6 | 5 | | 7 | 3 | | 8 | 6 | | 9 | 2 | | 10 | 14 | | 11 | 19 | | 12 | 6 | | 13 | 1 | | 14 | 15 | | 15 | 7 | | 16 | 7 | | 17 | 6 | | 18 | 3 | | 19 | 7 | | 20 | 9 | | 21 | 8 | | 22 | 5 | | 23 | 26 | | 24 | 25 | | 25 | 3 | | 26 | 3 | | 27 | 24 | | 28 | 4 | | 29 | 2 | | 30 | 3 | | 31 | 3 | | 32 | 3 | | 33 | 2 | | 34 | 13 | | 35 | 4 | | 36 | 3 | | 37 | 2 | | 38 | 3 | | 39 | 7 | | 40 | 3 | | 41 | 33 | | 42 | 8 | | 43 | 3 | | 44 | 15 | | 45 | 5 | | 46 | 13 | | 47 | 14 | | 48 | 3 | | 49 | 10 |
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| 44.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3125 | | totalSentences | 96 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 63 | | matches | | 0 | "Somewhere, a door slammed." | | 1 | "Then she grabbed her jacket." |
| | ratio | 0.032 | |
| 67.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 63 | | matches | | 0 | "His amber eye caught the" | | 1 | "She nudged him back with" | | 2 | "She stepped back, letting the" | | 3 | "He moved past her, the" | | 4 | "He never did." | | 5 | "He stood by the window," | | 6 | "His mouth twitched." | | 7 | "Her stomach dropped." | | 8 | "His voice was quiet, the" | | 9 | "She turned away, busying herself" | | 10 | "He stepped closer, the floorboards" | | 11 | "She whirled around." | | 12 | "He reached into his jacket," | | 13 | "It sloshed gently, thick as" | | 14 | "His voice was soft now," | | 15 | "His fingers brushed against hers" | | 16 | "Her hand closed around the" | | 17 | "She should have thrown the" | | 18 | "He turned toward the hallway," | | 19 | "She didn’t answer." |
| | ratio | 0.381 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 63 | | matches | | 0 | "The deadbolt scraped back with" | | 1 | "Rory’s fingers tightened around the" | | 2 | "The scent of turmeric and" | | 3 | "Lucien stood in the hallway," | | 4 | "His amber eye caught the" | | 5 | "The black one swallowed the" | | 6 | "Rory’s jaw set." | | 7 | "The weight of the question" | | 8 | "Lucien exhaled through his nose," | | 9 | "Ptolemy wound between her ankles," | | 10 | "She nudged him back with" | | 11 | "The words settled into her" | | 12 | "She stepped back, letting the" | | 13 | "He moved past her, the" | | 14 | "The flat was a mess" | | 15 | "Lucien didn’t sit." | | 16 | "He never did." | | 17 | "He stood by the window," | | 18 | "Rory crossed her arms." | | 19 | "His mouth twitched." |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 3 | | matches | | 0 | "He moved past her, the faintest brush of wool against her arm, the scent of bergamot and something darker, something that clung to him like smoke." | | 1 | "He stood by the window, one hand still on his cane, the other tapping against his thigh in a rhythm that wasn’t quite steady." | | 2 | "She turned away, busying herself with straightening a stack of books that didn’t need straightening." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "He stepped, the floorboards creaking under his weight" | | 1 | "He turned, his cane tapping against the floor" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 36 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0.5 | | effectiveRatio | 0.056 | |