| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 208 | | tagDensity | 0.058 | | leniency | 0.115 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 98.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2945 | | 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) | |
| 81.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2945 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "traced" | | 1 | "silence" | | 2 | "pulse" | | 3 | "silk" | | 4 | "stomach" | | 5 | "crystal" | | 6 | "charm" | | 7 | "footsteps" | | 8 | "pulsed" | | 9 | "measured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 239 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 239 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 435 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2943 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 1930 | | uniqueNames | 9 | | maxNameDensity | 1.66 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 29 | | Moreau | 1 | | Aurora | 32 | | Soho | 1 | | Brick | 2 | | Lane | 2 | | Eva | 1 | | Ptolemy | 3 | | One | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Eva" | | 4 | "Ptolemy" | | 5 | "One" |
| | places | | | globalScore | 0.671 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 157 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2943 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 435 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 318 | | mean | 9.25 | | std | 10.29 | | cv | 1.112 | | sampleLengths | | 0 | 15 | | 1 | 39 | | 2 | 7 | | 3 | 1 | | 4 | 2 | | 5 | 6 | | 6 | 2 | | 7 | 12 | | 8 | 5 | | 9 | 4 | | 10 | 4 | | 11 | 26 | | 12 | 23 | | 13 | 5 | | 14 | 13 | | 15 | 32 | | 16 | 11 | | 17 | 16 | | 18 | 4 | | 19 | 2 | | 20 | 44 | | 21 | 3 | | 22 | 1 | | 23 | 4 | | 24 | 5 | | 25 | 7 | | 26 | 23 | | 27 | 14 | | 28 | 7 | | 29 | 5 | | 30 | 6 | | 31 | 8 | | 32 | 36 | | 33 | 12 | | 34 | 2 | | 35 | 4 | | 36 | 1 | | 37 | 12 | | 38 | 9 | | 39 | 8 | | 40 | 3 | | 41 | 23 | | 42 | 6 | | 43 | 2 | | 44 | 3 | | 45 | 4 | | 46 | 6 | | 47 | 8 | | 48 | 6 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 239 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 331 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 435 | | ratio | 0.007 | | matches | | 0 | "The flat had always felt cramped; with him inside it, every wall seemed to lean closer." | | 1 | "His presence filled the rooms the way expensive cologne filled a lift—cedar, smoke and something scorched beneath both." | | 2 | "One eye burned amber; the other held no reflection, not even hers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1932 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.020186335403726708 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0010351966873706005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 435 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 435 | | mean | 6.77 | | std | 4.67 | | cv | 0.69 | | sampleLengths | | 0 | 15 | | 1 | 9 | | 2 | 15 | | 3 | 10 | | 4 | 5 | | 5 | 7 | | 6 | 1 | | 7 | 2 | | 8 | 6 | | 9 | 2 | | 10 | 2 | | 11 | 10 | | 12 | 5 | | 13 | 4 | | 14 | 4 | | 15 | 3 | | 16 | 13 | | 17 | 7 | | 18 | 3 | | 19 | 4 | | 20 | 19 | | 21 | 5 | | 22 | 13 | | 23 | 8 | | 24 | 11 | | 25 | 13 | | 26 | 11 | | 27 | 16 | | 28 | 4 | | 29 | 2 | | 30 | 4 | | 31 | 7 | | 32 | 9 | | 33 | 7 | | 34 | 17 | | 35 | 3 | | 36 | 1 | | 37 | 4 | | 38 | 5 | | 39 | 7 | | 40 | 10 | | 41 | 13 | | 42 | 10 | | 43 | 4 | | 44 | 7 | | 45 | 5 | | 46 | 6 | | 47 | 8 | | 48 | 4 | | 49 | 32 |
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| 45.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.25287356321839083 | | totalSentences | 435 | | uniqueOpeners | 110 | |
| 61.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 218 | | matches | | 0 | "Once, he had offered the" | | 1 | "Somewhere in the bedroom, Ptolemy" | | 2 | "Just the word." | | 3 | "Then his hand slid into" |
| | ratio | 0.018 | |
| 78.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 77 | | totalSentences | 218 | | matches | | 0 | "His platinum hair remained swept" | | 1 | "His jaw shifted." | | 2 | "She shoved harder." | | 3 | "He glanced over the banister." | | 4 | "She closed the door, freed" | | 5 | "His cane clicked once on" | | 6 | "He shed his wet overcoat" | | 7 | "His gaze held hers." | | 8 | "She tore free." | | 9 | "His amber eye narrowed." | | 10 | "His presence filled the rooms" | | 11 | "She seized a blue glass" | | 12 | "His mouth almost curved." | | 13 | "He placed the case on" | | 14 | "She jabbed a finger towards" | | 15 | "His grip tightened around the" | | 16 | "He looked at her." | | 17 | "She had missed that before." | | 18 | "He was hurt." | | 19 | "He had still arrived buttoned," |
| | ratio | 0.353 | |
| 15.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 194 | | totalSentences | 218 | | matches | | 0 | "The door opened as far" | | 1 | "Rain gleamed on the shoulders" | | 2 | "His platinum hair remained swept" | | 3 | "The amber eye caught the" | | 4 | "The black one swallowed it." | | 5 | "Aurora kept her hand on" | | 6 | "The door stopped against the" | | 7 | "His jaw shifted." | | 8 | "A small movement, but she" | | 9 | "That memory had no business" | | 10 | "She shoved harder." | | 11 | "Lucien removed his foot." | | 12 | "He glanced over the banister." | | 13 | "Another blow shook dust from" | | 14 | "Someone barked a phrase in" | | 15 | "The last word scraped through" | | 16 | "She closed the door, freed" | | 17 | "Lucien slipped past her." | | 18 | "His cane clicked once on" | | 19 | "Aurora slammed the door and" |
| | ratio | 0.89 | |
| 22.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 218 | | matches | | 0 | "Before she could shut him" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 2 | | matches | | 0 | "Six weeks collapsed into the narrow hall: the bitter smoke over Soho, his blood on her hands, the kiss that had tasted of iron, and the empty room she had woken…" | | 1 | "Lucien sat beneath her with his shirt hanging open, the silver case balanced on one thigh and blood staining his expensive trousers." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 7 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he breathed (breathe)" | | 2 | "he repeated (repeat)" | | 3 | "he whispered (whisper)" | | 4 | "she murmured (murmur)" | | 5 | "she whispered (whisper)" | | 6 | "she breathed (breathe)" |
| | dialogueSentences | 208 | | tagDensity | 0.043 | | leniency | 0.087 | | rawRatio | 0.778 | | effectiveRatio | 0.067 | |