| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.012 | | leniency | 0.023 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2030 | | 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) | |
| 77.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2030 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "stomach" | | 2 | "silence" | | 3 | "flicked" | | 4 | "charm" | | 5 | "throbbed" | | 6 | "measured" | | 7 | "absolutely" |
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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 | 123 | | matches | (empty) | |
| 96.40% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 208 | | 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 | 2030 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1461 | | uniqueNames | 6 | | maxNameDensity | 1.1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 15 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Rory | 16 | | Ptolemy | 5 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Ptolemy" |
| | places | | | globalScore | 0.952 | | windowScore | 1 | |
| 40.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 4 | | matches | | 0 | "appeared behind her shin with a low, offended growl, tail lashing against the skirting board" | | 1 | "looked like he had walked out of a knife" | | 2 | "appeared near the corner of his mouth" | | 3 | "as though assessing whether obedience would cost him dignity or amusement" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.493 | | wordCount | 2030 | | matches | | 0 | "not flinch, but his amber eye sharpened" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 208 | | matches | | 0 | "hated that the" | | 1 | "seem that way" | | 2 | "Hated that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 153 | | mean | 13.27 | | std | 15.17 | | cv | 1.143 | | sampleLengths | | 0 | 11 | | 1 | 76 | | 2 | 4 | | 3 | 14 | | 4 | 4 | | 5 | 25 | | 6 | 9 | | 7 | 28 | | 8 | 5 | | 9 | 3 | | 10 | 6 | | 11 | 3 | | 12 | 6 | | 13 | 12 | | 14 | 40 | | 15 | 4 | | 16 | 8 | | 17 | 30 | | 18 | 4 | | 19 | 2 | | 20 | 4 | | 21 | 50 | | 22 | 6 | | 23 | 39 | | 24 | 12 | | 25 | 4 | | 26 | 5 | | 27 | 9 | | 28 | 19 | | 29 | 6 | | 30 | 22 | | 31 | 3 | | 32 | 3 | | 33 | 1 | | 34 | 22 | | 35 | 8 | | 36 | 11 | | 37 | 4 | | 38 | 1 | | 39 | 20 | | 40 | 25 | | 41 | 72 | | 42 | 56 | | 43 | 20 | | 44 | 6 | | 45 | 13 | | 46 | 2 | | 47 | 13 | | 48 | 4 | | 49 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 234 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 208 | | ratio | 0 | | matches | (empty) | |
| 92.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1465 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 71 | | adverbRatio | 0.048464163822525594 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005460750853242321 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 208 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 208 | | mean | 9.76 | | std | 8.34 | | cv | 0.855 | | sampleLengths | | 0 | 11 | | 1 | 29 | | 2 | 8 | | 3 | 39 | | 4 | 4 | | 5 | 7 | | 6 | 7 | | 7 | 4 | | 8 | 25 | | 9 | 9 | | 10 | 16 | | 11 | 12 | | 12 | 5 | | 13 | 3 | | 14 | 6 | | 15 | 3 | | 16 | 6 | | 17 | 12 | | 18 | 3 | | 19 | 15 | | 20 | 22 | | 21 | 4 | | 22 | 8 | | 23 | 6 | | 24 | 19 | | 25 | 5 | | 26 | 4 | | 27 | 2 | | 28 | 4 | | 29 | 9 | | 30 | 3 | | 31 | 38 | | 32 | 6 | | 33 | 18 | | 34 | 21 | | 35 | 12 | | 36 | 4 | | 37 | 5 | | 38 | 9 | | 39 | 10 | | 40 | 9 | | 41 | 6 | | 42 | 22 | | 43 | 3 | | 44 | 3 | | 45 | 1 | | 46 | 4 | | 47 | 18 | | 48 | 8 | | 49 | 11 |
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| 46.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2980769230769231 | | totalSentences | 208 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 119 | | matches | | 0 | "Then back to her eyes." | | 1 | "Instead she stood there with" | | 2 | "Even the curry smells from" | | 3 | "Even seated, he took up" |
| | ratio | 0.034 | |
| 58.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 119 | | matches | | 0 | "His blond hair sat slicked" | | 1 | "His amber eye moved over" | | 2 | "She kept her grip on" | | 3 | "He leaned closer." | | 4 | "Her stomach gave a hard," | | 5 | "His gaze dipped, just once," | | 6 | "She should have shut the" | | 7 | "She wanted to." | | 8 | "He lifted a thick black" | | 9 | "She stared at the wax," | | 10 | "His voice dropped." | | 11 | "He watched her in silence" | | 12 | "He never hurried the world." | | 13 | "It usually hurried for him." | | 14 | "She snatched the chain free" | | 15 | "He brushed past her shoulder," | | 16 | "He placed the envelope on" | | 17 | "She folded her arms." | | 18 | "His eye flicked to the" | | 19 | "She looked at the blood" |
| | ratio | 0.403 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 119 | | matches | | 0 | "The second deadbolt bit free" | | 1 | "Rory yanked the door open" | | 2 | "Blood darkened the cuff of" | | 3 | "His blond hair sat slicked" | | 4 | "His amber eye moved over" | | 5 | "The black one fixed on" | | 6 | "She kept her grip on" | | 7 | "Ptolemy appeared behind her shin" | | 8 | "Lucien glanced down at the" | | 9 | "Lucien gave a brief, humourless" | | 10 | "Rory tightened the chain another" | | 11 | "He leaned closer." | | 12 | "The scent of him came" | | 13 | "Her stomach gave a hard," | | 14 | "A muscle jumped in his" | | 15 | "His gaze dipped, just once," | | 16 | "She should have shut the" | | 17 | "She wanted to." | | 18 | "He lifted a thick black" | | 19 | "A seal of dark wax" |
| | ratio | 0.924 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 119 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 5 | | matches | | 0 | "He looked at the chair she pointed at, then at her face, as though assessing whether obedience would cost him dignity or amusement." | | 1 | "His face changed in the smallest way, a tightening around the eyes, a stillness that made him look far less human than the suit tried to suggest." | | 2 | "Lucien was already moving, cane in one hand, the other flexing open and shut as though he had waited too long to use it." | | 3 | "Something on the other side scraped metal across wood, a slow, patient sound that made the hairs rise along Rory's arms." | | 4 | "The door exploded inward, and a shape that did not belong to any human spine slammed against the frame, all black limbs and too many joints, with a mouth full o…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.012 | | leniency | 0.023 | | rawRatio | 0 | | effectiveRatio | 0 | |