| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 129 | | tagDensity | 0.062 | | leniency | 0.124 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2412 | | totalAiIsmAdverbs | 2 | | 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) | |
| 81.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2412 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "unreadable" | | 1 | "tension" | | 2 | "charm" | | 3 | "footsteps" | | 4 | "measured" | | 5 | "silence" | | 6 | "porcelain" | | 7 | "stomach" |
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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 | 179 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 179 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 300 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2412 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 1 | | matches | | 0 | "When the noise faded, Lucien spoke more quietly." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1581 | | uniqueNames | 14 | | maxNameDensity | 1.01 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 2 | | Brick | 2 | | Lane | 2 | | Mayfair | 1 | | Steam | 1 | | Lucien | 16 | | Eva | 6 | | Aurora | 12 | | Cardiff | 1 | | Golden | 1 | | Empress | 1 | | Blackfriars | 1 | | Ptolemy | 3 | | One | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Mayfair" | | 3 | "Cardiff" | | 4 | "Golden" | | 5 | "One" |
| | globalScore | 0.994 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared unfinished stood in Eva's cramped flat with rain on his cuff and no polished line prepared to smooth the past" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.415 | | wordCount | 2412 | | matches | | 0 | "not by size but by the force of his attention" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 300 | | matches | | 0 | "hated that her" | | 1 | "kissed that scar" | | 2 | "let that sit" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 191 | | mean | 12.63 | | std | 15.65 | | cv | 1.239 | | sampleLengths | | 0 | 33 | | 1 | 13 | | 2 | 84 | | 3 | 3 | | 4 | 12 | | 5 | 2 | | 6 | 9 | | 7 | 8 | | 8 | 8 | | 9 | 4 | | 10 | 9 | | 11 | 51 | | 12 | 5 | | 13 | 5 | | 14 | 3 | | 15 | 4 | | 16 | 12 | | 17 | 8 | | 18 | 5 | | 19 | 53 | | 20 | 5 | | 21 | 5 | | 22 | 1 | | 23 | 1 | | 24 | 1 | | 25 | 20 | | 26 | 5 | | 27 | 7 | | 28 | 17 | | 29 | 6 | | 30 | 5 | | 31 | 5 | | 32 | 17 | | 33 | 1 | | 34 | 9 | | 35 | 75 | | 36 | 5 | | 37 | 2 | | 38 | 4 | | 39 | 3 | | 40 | 21 | | 41 | 12 | | 42 | 6 | | 43 | 3 | | 44 | 10 | | 45 | 4 | | 46 | 30 | | 47 | 2 | | 48 | 2 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 179 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 272 | | matches | | 0 | "wasn't doing" | | 1 | "was hearing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 300 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1582 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.03792667509481669 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0037926675094816687 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 300 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 300 | | mean | 8.04 | | std | 6.52 | | cv | 0.811 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 15 | | 3 | 13 | | 4 | 17 | | 5 | 8 | | 6 | 11 | | 7 | 13 | | 8 | 17 | | 9 | 12 | | 10 | 6 | | 11 | 3 | | 12 | 12 | | 13 | 2 | | 14 | 9 | | 15 | 8 | | 16 | 8 | | 17 | 4 | | 18 | 7 | | 19 | 2 | | 20 | 10 | | 21 | 11 | | 22 | 30 | | 23 | 5 | | 24 | 5 | | 25 | 3 | | 26 | 4 | | 27 | 12 | | 28 | 8 | | 29 | 5 | | 30 | 7 | | 31 | 5 | | 32 | 26 | | 33 | 12 | | 34 | 1 | | 35 | 1 | | 36 | 1 | | 37 | 5 | | 38 | 5 | | 39 | 1 | | 40 | 1 | | 41 | 1 | | 42 | 8 | | 43 | 2 | | 44 | 1 | | 45 | 9 | | 46 | 5 | | 47 | 7 | | 48 | 6 | | 49 | 2 |
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| 44.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.29333333333333333 | | totalSentences | 300 | | uniqueOpeners | 88 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 160 | | matches | | 0 | "Somewhere in the building, a" | | 1 | "Once it had worked." | | 2 | "Once she'd opened doors before" | | 3 | "Then she'd found herself on" | | 4 | "Then she did." |
| | ratio | 0.031 | |
| 62.50% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 63 | | totalSentences | 160 | | matches | | 0 | "His hair lay slicked back," | | 1 | "He looked past the gap" | | 2 | "Her grip tightened on the" | | 3 | "His gaze dropped to the" | | 4 | "She kept her voice flat." | | 5 | "He lowered his eyes first." | | 6 | "His fingers closed on the" | | 7 | "He breathed once through his" | | 8 | "She gave a short laugh." | | 9 | "He glanced beyond her shoulder" | | 10 | "Her place had always looked" | | 11 | "She stared at him" | | 12 | "His expression cooled." | | 13 | "His back twitched but didn't" | | 14 | "She should have shut the" | | 15 | "She knew it." | | 16 | "He wasn't doing that now." | | 17 | "He looked carved down to" | | 18 | "It also annoyed her that" | | 19 | "His eyes returned to hers." |
| | ratio | 0.394 | |
| 38.13% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 135 | | totalSentences | 160 | | matches | | 0 | "The first deadbolt scraped back," | | 1 | "Metal knocked metal in the" | | 2 | "Ptolemy sprang off a stack" | | 3 | "Aurora kept one hand on" | | 4 | "Lucien Moreau stood on the" | | 5 | "Rain silvered the shoulders of" | | 6 | "The other held nothing, which" | | 7 | "His hair lay slicked back," | | 8 | "The other sat black and" | | 9 | "Aurora didn't move." | | 10 | "He looked past the gap" | | 11 | "Her grip tightened on the" | | 12 | "His gaze dropped to the" | | 13 | "Steam and cardamom drifted up" | | 14 | "Aurora felt all of it" | | 15 | "She kept her voice flat." | | 16 | "The corner of his mouth" | | 17 | "Rain tapped the stairwell window." | | 18 | "Lucien's gaze settled on her" | | 19 | "He lowered his eyes first." |
| | ratio | 0.844 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 160 | | matches | | 0 | "As if she wouldn't know" | | 1 | "As if trust could survive" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien Moreau stood on the landing as if Brick Lane had turned into Mayfair for his benefit." | | 1 | "The other held nothing, which felt less reassuring than if he'd arrived armed." | | 2 | "Aurora felt all of it with sharp, stupid clarity, as if her body had decided the only sane response to seeing Lucien on Eva's landing was to catalogue the room." |
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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 | 0 | | fancyTags | (empty) | | dialogueSentences | 129 | | tagDensity | 0.039 | | leniency | 0.078 | | rawRatio | 0 | | effectiveRatio | 0 | |