| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.324 | | leniency | 0.649 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 882 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 882 | | totalAiIsms | 18 | | found | | 0 | | word | "skipped a beat" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "skipped a beat" | | 1 | "scanned" | | 2 | "silk" | | 3 | "racing" | | 4 | "stark" | | 5 | "furrowed" | | 6 | "tinged" | | 7 | "measured" | | 8 | "unwavering" | | 9 | "charm" | | 10 | "resolve" | | 11 | "silence" | | 12 | "normalcy" | | 13 | "reminder" | | 14 | "gleaming" | | 15 | "tension" | | 16 | "unravel" | | 17 | "navigate" |
| |
| 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 | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 879 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 616 | | uniqueNames | 9 | | maxNameDensity | 2.27 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Frenchman | 1 | | Rory | 13 | | Lucien | 14 | | Brick | 2 | | Lane | 2 | | Ptolemy | 2 | | Soho | 2 | | Alaric | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Frenchman" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Ptolemy" | | 5 | "Alaric" |
| | places | | | globalScore | 0.364 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 86.23% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.138 | | wordCount | 879 | | matches | | 0 | "not in the artifacts, but in the unresolved history between them" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 23.76 | | std | 14.49 | | cv | 0.61 | | sampleLengths | | 0 | 43 | | 1 | 14 | | 2 | 17 | | 3 | 20 | | 4 | 50 | | 5 | 9 | | 6 | 49 | | 7 | 10 | | 8 | 28 | | 9 | 11 | | 10 | 13 | | 11 | 42 | | 12 | 20 | | 13 | 17 | | 14 | 16 | | 15 | 28 | | 16 | 14 | | 17 | 25 | | 18 | 33 | | 19 | 33 | | 20 | 7 | | 21 | 42 | | 22 | 18 | | 23 | 7 | | 24 | 41 | | 25 | 14 | | 26 | 34 | | 27 | 32 | | 28 | 12 | | 29 | 16 | | 30 | 14 | | 31 | 56 | | 32 | 17 | | 33 | 9 | | 34 | 8 | | 35 | 7 | | 36 | 53 |
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| 92.73% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 56 | | matches | | 0 | "was, unannounced" | | 1 | "been drawn" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 81 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 619 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.029079159935379646 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008077544426494346 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 10.85 | | std | 5.56 | | cv | 0.512 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 2 | | 3 | 18 | | 4 | 8 | | 5 | 6 | | 6 | 11 | | 7 | 6 | | 8 | 16 | | 9 | 4 | | 10 | 5 | | 11 | 14 | | 12 | 17 | | 13 | 14 | | 14 | 5 | | 15 | 4 | | 16 | 10 | | 17 | 18 | | 18 | 21 | | 19 | 10 | | 20 | 10 | | 21 | 18 | | 22 | 3 | | 23 | 8 | | 24 | 7 | | 25 | 6 | | 26 | 11 | | 27 | 15 | | 28 | 16 | | 29 | 14 | | 30 | 6 | | 31 | 9 | | 32 | 8 | | 33 | 7 | | 34 | 9 | | 35 | 15 | | 36 | 13 | | 37 | 6 | | 38 | 8 | | 39 | 9 | | 40 | 16 | | 41 | 14 | | 42 | 19 | | 43 | 12 | | 44 | 21 | | 45 | 3 | | 46 | 4 | | 47 | 9 | | 48 | 16 | | 49 | 17 |
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| 69.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.41975308641975306 | | totalSentences | 81 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 67.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 55 | | matches | | 0 | "he said, his voice smooth" | | 1 | "She leaned against the doorframe," | | 2 | "He stepped closer, his ivory-handled" | | 3 | "She had accused him of" | | 4 | "she said, stepping aside" | | 5 | "He turned to face her," | | 6 | "They had been tracking a" | | 7 | "she said, her voice tinged" | | 8 | "He sighed, running a hand" | | 9 | "She had always been drawn" | | 10 | "she said, her voice steady" | | 11 | "He looked genuinely remorseful, and" | | 12 | "They had a history, and" | | 13 | "she said, her resolve hardening" | | 14 | "It was a small moment" | | 15 | "she asked, her voice a" | | 16 | "She felt a spark of" | | 17 | "She rolled her eyes, but" | | 18 | "He chuckled, the sound low" | | 19 | "They stepped out of the" |
| | ratio | 0.382 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 55 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "Rory's heart skipped a beat" | | 2 | "The Frenchman’s heterochromatic eyes scanned" | | 3 | "he said, his voice smooth" | | 4 | "She leaned against the doorframe," | | 5 | "He stepped closer, his ivory-handled" | | 6 | "Rory hesitated, her mind racing." | | 7 | "The last time they had" | | 8 | "She had accused him of" | | 9 | "she said, stepping aside" | | 10 | "Lucien entered the flat, his" | | 11 | "The cramped one-bedroom above the" | | 12 | "Rory asked, closing the door" | | 13 | "He turned to face her," | | 14 | "Rory's brow furrowed." | | 15 | "Lucien's lips pressed into a" | | 16 | "Rory's mind flashed back to" | | 17 | "They had been tracking a" | | 18 | "The investigation had led them" | | 19 | "she said, her voice tinged" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 6 | | matches | | 0 | "he said, his voice smooth as silk" | | 1 | "Lucien replied, his tone measured" | | 2 | "Lucien said, his gaze unwavering" | | 3 | "she said, her voice steady" | | 4 | "she said, her resolve hardening" | | 5 | "she asked, her voice a mix of curiosity and determination" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0 | | effectiveRatio | 0 | |