| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "her hand tightened just [just]" |
| | dialogueSentences | 77 | | tagDensity | 0.338 | | leniency | 0.675 | | rawRatio | 0.038 | | effectiveRatio | 0.026 | |
| 89.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1894 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "quickly" | | 1 | "suddenly" | | 2 | "slightly" |
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| 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) | |
| 57.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1894 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "coded" | | 1 | "weight" | | 2 | "flickered" | | 3 | "stomach" | | 4 | "footsteps" | | 5 | "eyebrow" | | 6 | "pulse" | | 7 | "silence" | | 8 | "intensity" | | 9 | "encounter" | | 10 | "could feel" | | 11 | "traced" | | 12 | "resolved" | | 13 | "familiar" |
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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 | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 129 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 181 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1880 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1216 | | uniqueNames | 18 | | maxNameDensity | 0.99 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 10 | | Empress | 1 | | Fridays | 1 | | Yu | 1 | | Fei | 1 | | Moreau | 3 | | Lucien | 12 | | Eva | 3 | | Ptolemy | 6 | | Soho | 1 | | Should | 3 | | Swallowed | 1 | | Released | 1 | | Avaros | 1 | | Close | 3 | | Brick | 1 | | Lane | 1 | | Bowie | 1 |
| | persons | | 0 | "Rory" | | 1 | "Empress" | | 2 | "Fei" | | 3 | "Moreau" | | 4 | "Lucien" | | 5 | "Eva" | | 6 | "Ptolemy" | | 7 | "Should" |
| | places | | 0 | "Soho" | | 1 | "Close" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | 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 | 1880 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 181 | | matches | | 0 | "slammed that door" | | 1 | "hated that it" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 90 | | mean | 20.89 | | std | 18.87 | | cv | 0.903 | | sampleLengths | | 0 | 56 | | 1 | 12 | | 2 | 8 | | 3 | 57 | | 4 | 2 | | 5 | 21 | | 6 | 13 | | 7 | 34 | | 8 | 5 | | 9 | 34 | | 10 | 1 | | 11 | 9 | | 12 | 5 | | 13 | 24 | | 14 | 6 | | 15 | 64 | | 16 | 11 | | 17 | 8 | | 18 | 8 | | 19 | 20 | | 20 | 4 | | 21 | 26 | | 22 | 26 | | 23 | 1 | | 24 | 29 | | 25 | 3 | | 26 | 73 | | 27 | 21 | | 28 | 6 | | 29 | 4 | | 30 | 27 | | 31 | 40 | | 32 | 1 | | 33 | 29 | | 34 | 27 | | 35 | 1 | | 36 | 28 | | 37 | 5 | | 38 | 19 | | 39 | 9 | | 40 | 11 | | 41 | 9 | | 42 | 47 | | 43 | 4 | | 44 | 18 | | 45 | 6 | | 46 | 18 | | 47 | 11 | | 48 | 58 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 20.63% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 223 | | matches | | 0 | "was checking" | | 1 | "wasn't saying" | | 2 | "was already reaching" | | 3 | "was tasting" | | 4 | "was hammering" | | 5 | "were breathing" |
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| 0.79% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 181 | | ratio | 0.05 | | matches | | 0 | "Golden Empress orders never added up on Fridays—Yu-Fei always slipped extra portions into bags without marking them—but forty pounds short meant someone had pocketed a delivery fee again." | | 1 | "Heterochromatic eyes—one amber, one black—tracked the movement of her hand as she crumpled the receipt." | | 2 | "\"Brick Lane isn't exactly a secret labyrinth.\" He glanced past her into the flat—books stacked on every surface, scrolls spilling from the bookshelf, research notes pinned to the wall with Eva's colour-coded tabs." | | 3 | "Six months since she'd walked out of his office in Soho, six months since she'd told him she was done—done with his secrets, done with his half-truths, done with the way he kept her at arm's length while pulling her closer." | | 4 | "The cat had never taken to anyone that quickly—not Eva's clients, not the delivery drivers, not even Rory herself when she'd first started staying here." | | 5 | "The man who'd kissed her once, in his office, six months and three days ago—and then told her it could never happen again." | | 6 | "The sounds of Brick Lane filtered up through the thin walls—distant traffic, the clatter of dishes from the curry house below, someone's radio playing an old Bowie song." | | 7 | "It wasn't like the first time—tentative, questioning, ready to pull back." | | 8 | "But she listened—listened to the tap of his cane on the steps behind her, the rhythm of his footsteps matching hers." |
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| 99.70% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1165 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.04034334763948498 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0068669527896995704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 181 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 181 | | mean | 10.39 | | std | 9.46 | | cv | 0.91 | | sampleLengths | | 0 | 28 | | 1 | 28 | | 2 | 12 | | 3 | 8 | | 4 | 18 | | 5 | 24 | | 6 | 15 | | 7 | 2 | | 8 | 19 | | 9 | 2 | | 10 | 7 | | 11 | 6 | | 12 | 33 | | 13 | 1 | | 14 | 5 | | 15 | 30 | | 16 | 4 | | 17 | 1 | | 18 | 9 | | 19 | 5 | | 20 | 15 | | 21 | 9 | | 22 | 6 | | 23 | 11 | | 24 | 41 | | 25 | 12 | | 26 | 4 | | 27 | 7 | | 28 | 8 | | 29 | 4 | | 30 | 4 | | 31 | 20 | | 32 | 4 | | 33 | 13 | | 34 | 13 | | 35 | 7 | | 36 | 2 | | 37 | 1 | | 38 | 1 | | 39 | 2 | | 40 | 13 | | 41 | 1 | | 42 | 9 | | 43 | 5 | | 44 | 12 | | 45 | 3 | | 46 | 3 | | 47 | 24 | | 48 | 7 | | 49 | 25 |
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| 58.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.39226519337016574 | | totalSentences | 181 | | uniqueOpeners | 71 | |
| 32.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 103 | | matches | | | ratio | 0.01 | |
| 91.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 103 | | matches | | 0 | "His charcoal suit looked pressed" | | 1 | "He glanced past her into" | | 2 | "His gaze returned to her" | | 3 | "Her left wrist ached." | | 4 | "She rubbed the crescent scar" | | 5 | "She started to close the" | | 6 | "His palm pressed flat against" | | 7 | "He didn't beg." | | 8 | "He entered the flat like" | | 9 | "She shut the door." | | 10 | "He paused, jaw tight" | | 11 | "She thought of the flat" | | 12 | "She was already reaching for" | | 13 | "Her name in his mouth." | | 14 | "His voice came closer, footsteps" | | 15 | "She spun to face him" | | 16 | "She didn't sway forward." | | 17 | "Her voice cracked" | | 18 | "She hated that it cracked." | | 19 | "She jabbed a finger toward" |
| | ratio | 0.32 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 103 | | matches | | 0 | "The third deadbolt stuck, as" | | 1 | "The door swung inward before" | | 2 | "Lucien Moreau stood in the" | | 3 | "His charcoal suit looked pressed" | | 4 | "Ptolemy shot past her ankles" | | 5 | "Rory braced her shoulder against" | | 6 | "He glanced past her into" | | 7 | "His gaze returned to her" | | 8 | "Ptolemy meowed and butted his" | | 9 | "Rory shifted her weight, blocking" | | 10 | "The words hung between them," | | 11 | "Her left wrist ached." | | 12 | "She rubbed the crescent scar" | | 13 | "Lucien's gaze flickered to the" | | 14 | "She started to close the" | | 15 | "His palm pressed flat against" | | 16 | "The word landed like a" | | 17 | "Lucien Moreau didn't say please." | | 18 | "Lucien Moreau made deals, collected" | | 19 | "He didn't beg." |
| | ratio | 0.718 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "His charcoal suit looked pressed fresh that morning, platinum hair slicked back save for a single strand that had fallen loose across his forehead." | | 1 | "At the half-demon fixer who spoke four languages and kept secrets like other people kept coins." | | 2 | "At the man who'd taught her to read supernatural contracts and spot a shapeshifter and never, ever sign anything in blood." | | 3 | "At the person who'd held her hand through her first real encounter with Avaros demonkind and never once made her feel weak for being afraid." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 2 | | matches | | 0 | "He paused, jaw tight" | | 1 | "Lucien set, fingers lingering on the ivory handle" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 77 | | tagDensity | 0.052 | | leniency | 0.104 | | rawRatio | 0 | | effectiveRatio | 0 | |