| 42.11% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "he said quietly [quietly]" | | 2 | "She stopped close [close]" |
| | dialogueSentences | 38 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0.167 | | effectiveRatio | 0.158 | |
| 94.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1851 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 54.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1851 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "lilt" | | 1 | "measured" | | 2 | "stomach" | | 3 | "treacherous" | | 4 | "tracing" | | 5 | "pulse" | | 6 | "tension" | | 7 | "perfect" | | 8 | "navigating" | | 9 | "implication" | | 10 | "silence" | | 11 | "echoed" | | 12 | "footsteps" |
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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 | 133 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 133 | | filterMatches | | | hedgeMatches | | 0 | "tended to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1851 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1344 | | uniqueNames | 18 | | maxNameDensity | 0.89 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 12 | | Moreau | 1 | | English | 1 | | Marseille | 1 | | London | 1 | | Eva | 2 | | Channel | 1 | | Silas | 1 | | Brick | 1 | | Lane | 1 | | Aurora | 1 | | Rory | 12 | | Cool-headed | 1 | | Ptolemy | 6 | | French | 1 | | Contracts | 1 | | Outer | 1 | | Realms | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like rust" | | 1 | "felt like an invitation" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1851 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 152 | | matches | | 0 | "nameplate that read" | | 1 | "remembered that night" | | 2 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 34.92 | | std | 19.02 | | cv | 0.544 | | sampleLengths | | 0 | 43 | | 1 | 27 | | 2 | 7 | | 3 | 41 | | 4 | 63 | | 5 | 62 | | 6 | 26 | | 7 | 6 | | 8 | 89 | | 9 | 10 | | 10 | 24 | | 11 | 70 | | 12 | 44 | | 13 | 16 | | 14 | 39 | | 15 | 31 | | 16 | 5 | | 17 | 30 | | 18 | 56 | | 19 | 51 | | 20 | 15 | | 21 | 42 | | 22 | 48 | | 23 | 41 | | 24 | 4 | | 25 | 38 | | 26 | 26 | | 27 | 44 | | 28 | 22 | | 29 | 63 | | 30 | 57 | | 31 | 38 | | 32 | 68 | | 33 | 33 | | 34 | 49 | | 35 | 54 | | 36 | 19 | | 37 | 45 | | 38 | 38 | | 39 | 19 | | 40 | 46 | | 41 | 41 | | 42 | 46 | | 43 | 39 | | 44 | 20 | | 45 | 20 | | 46 | 5 | | 47 | 29 | | 48 | 10 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 133 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 222 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 152 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1350 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.0362962962962963 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005185185185185185 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 12.18 | | std | 8.92 | | cv | 0.733 | | sampleLengths | | 0 | 6 | | 1 | 22 | | 2 | 15 | | 3 | 17 | | 4 | 10 | | 5 | 7 | | 6 | 27 | | 7 | 2 | | 8 | 2 | | 9 | 10 | | 10 | 22 | | 11 | 4 | | 12 | 30 | | 13 | 1 | | 14 | 6 | | 15 | 6 | | 16 | 8 | | 17 | 16 | | 18 | 4 | | 19 | 28 | | 20 | 6 | | 21 | 20 | | 22 | 6 | | 23 | 12 | | 24 | 27 | | 25 | 25 | | 26 | 4 | | 27 | 1 | | 28 | 1 | | 29 | 14 | | 30 | 5 | | 31 | 10 | | 32 | 10 | | 33 | 14 | | 34 | 6 | | 35 | 7 | | 36 | 32 | | 37 | 25 | | 38 | 15 | | 39 | 8 | | 40 | 21 | | 41 | 16 | | 42 | 6 | | 43 | 20 | | 44 | 13 | | 45 | 10 | | 46 | 12 | | 47 | 9 | | 48 | 5 | | 49 | 7 |
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| 59.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.375 | | totalSentences | 152 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 120 | | matches | | 0 | "Just facts, delivered like a" | | 1 | "Then louder, to him," | | 2 | "Then he had withdrawn." | | 3 | "Instead she dropped onto the" | | 4 | "Just enough to still her" | | 5 | "Instead she found herself studying" | | 6 | "Instead heat uncoiled in her" |
| | ratio | 0.058 | |
| 93.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 120 | | matches | | 0 | "His mismatched eyes caught the" | | 1 | "She tightened her grip on" | | 2 | "He spoke with the precise" | | 3 | "She had spent the last" | | 4 | "His charcoal suit looked impossibly" | | 5 | "His hands had been careful" | | 6 | "She hated how the memory" | | 7 | "She stepped back before she" | | 8 | "He moved through the cramped" | | 9 | "She had seen him use" | | 10 | "His platinum hair, slicked back" | | 11 | "She saw his gaze flick" | | 12 | "She preferred Rory." | | 13 | "She kept her voice even" | | 14 | "He turned from the books." | | 15 | "His fingers flexed on the" | | 16 | "She watched the small movement," | | 17 | "he said quietly" | | 18 | "She moved to the table" | | 19 | "She wanted to argue." |
| | ratio | 0.317 | |
| 39.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 120 | | matches | | 0 | "Rory yanked back the final" | | 1 | "The door swung inward and" | | 2 | "His mismatched eyes caught the" | | 3 | "She tightened her grip on" | | 4 | "The small crescent scar on" | | 5 | "He spoke with the precise" | | 6 | "The scent of cumin and" | | 7 | "Rory swallowed against it." | | 8 | "She had spent the last" | | 9 | "The name still tasted like" | | 10 | "Lucien took one measured step" | | 11 | "The narrow landing left no" | | 12 | "His charcoal suit looked impossibly" | | 13 | "Ellis in faded ink." | | 14 | "Ptolemy appeared from behind a" | | 15 | "Rory muttered to the cat" | | 16 | "The words landed between them" | | 17 | "Rory felt the old pull" | | 18 | "His hands had been careful" | | 19 | "She hated how the memory" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 74.18% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 5 | | matches | | 0 | "She had spent the last hour surrounded by Eva's chaos of books and scrolls, trying to trace the legal loopholes that might keep her abusive ex from crossing the…" | | 1 | "Rory felt the old pull low in her stomach, the same treacherous heat that had once led her to his back room above Silas's bar after midnight." | | 2 | "She had seen him use it once, swift and surgical, against something that had worn a human face but bled tar." | | 3 | "Rory reached up without thinking and adjusted his lapel, a small gesture that felt far too intimate in the cramped room." | | 4 | "She remembered his mouth on hers in that alley, desperate and claiming, right before he had pushed her behind him and faced the thing that had come for her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "He spoke (speak)" | | 1 | "Rory muttered (mutter)" | | 2 | "she didn't (do)" | | 3 | "he whispered (whisper)" |
| | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.667 | | effectiveRatio | 0.211 | |