| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1439 | | 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) | |
| 75.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1439 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "familiar" | | 1 | "stomach" | | 2 | "pulse" | | 3 | "silence" | | 4 | "eyebrow" |
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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 | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1446 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 940 | | uniqueNames | 10 | | maxNameDensity | 1.6 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 6 | | Rory | 15 | | Lucien | 11 | | Golden | 1 | | Empress | 1 | | Avaros | 1 | | French | 1 | | Flat | 2 | | Ptolemy | 5 | | Rain | 3 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Ptolemy" | | 4 | "Rain" |
| | places | | | globalScore | 0.702 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 61.69% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.383 | | wordCount | 1446 | | matches | | 0 | "not an invitation, but Lucien took it as one" | | 1 | "not to grab, but his fingers brushed the crescent scar on her left wrist" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 175 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 99 | | mean | 14.61 | | std | 13.42 | | cv | 0.919 | | sampleLengths | | 0 | 8 | | 1 | 41 | | 2 | 40 | | 3 | 4 | | 4 | 33 | | 5 | 44 | | 6 | 12 | | 7 | 2 | | 8 | 27 | | 9 | 14 | | 10 | 3 | | 11 | 8 | | 12 | 7 | | 13 | 4 | | 14 | 6 | | 15 | 3 | | 16 | 11 | | 17 | 39 | | 18 | 3 | | 19 | 18 | | 20 | 5 | | 21 | 47 | | 22 | 7 | | 23 | 19 | | 24 | 3 | | 25 | 26 | | 26 | 19 | | 27 | 11 | | 28 | 26 | | 29 | 13 | | 30 | 12 | | 31 | 40 | | 32 | 5 | | 33 | 5 | | 34 | 20 | | 35 | 11 | | 36 | 6 | | 37 | 31 | | 38 | 1 | | 39 | 23 | | 40 | 4 | | 41 | 15 | | 42 | 12 | | 43 | 30 | | 44 | 14 | | 45 | 5 | | 46 | 1 | | 47 | 12 | | 48 | 5 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 77.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 175 | | ratio | 0.023 | | matches | | 0 | "Eva's neat handwriting marked three locks with tiny labels - TOP, MIDDLE, BOTTOM - because Rory always forgot the order." | | 1 | "He closed the door behind him with his hip and flipped the deadbolts - top, middle, bottom - without looking." | | 2 | "She felt the heat of his damp suit, the familiar scent under the rain - cedar and ink and something metallic, like old coins." | | 3 | "Eva's research notes pressed in from the living room - tall stacks of books on demon lineages, on Avaros, on half-bloods." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 936 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.024572649572649572 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002136752136752137 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 8.26 | | std | 6.62 | | cv | 0.802 | | sampleLengths | | 0 | 8 | | 1 | 16 | | 2 | 15 | | 3 | 10 | | 4 | 20 | | 5 | 8 | | 6 | 6 | | 7 | 6 | | 8 | 4 | | 9 | 5 | | 10 | 14 | | 11 | 14 | | 12 | 5 | | 13 | 9 | | 14 | 7 | | 15 | 6 | | 16 | 12 | | 17 | 5 | | 18 | 6 | | 19 | 6 | | 20 | 2 | | 21 | 5 | | 22 | 22 | | 23 | 14 | | 24 | 3 | | 25 | 8 | | 26 | 7 | | 27 | 4 | | 28 | 6 | | 29 | 3 | | 30 | 11 | | 31 | 12 | | 32 | 8 | | 33 | 2 | | 34 | 9 | | 35 | 8 | | 36 | 3 | | 37 | 4 | | 38 | 14 | | 39 | 5 | | 40 | 3 | | 41 | 12 | | 42 | 6 | | 43 | 6 | | 44 | 20 | | 45 | 7 | | 46 | 19 | | 47 | 3 | | 48 | 6 | | 49 | 17 |
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| 43.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.26285714285714284 | | totalSentences | 175 | | uniqueOpeners | 46 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | 0 | "Bright blue eyes met his" |
| | ratio | 0.009 | |
| 57.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 111 | | matches | | 0 | "Her left wrist caught the" | | 1 | "She flipped the bottom." | | 2 | "His platinum hair was not" | | 3 | "His cane hung from his" | | 4 | "His mouth twitched." | | 5 | "She did not open the" | | 6 | "He rose and crossed the" | | 7 | "He closed the door behind" | | 8 | "His coat dripped onto Eva's" | | 9 | "He caught it." | | 10 | "He did not use it." | | 11 | "She needed something for her" | | 12 | "She lifted the kettle." | | 13 | "It was empty." | | 14 | "His voice came lower now." | | 15 | "His cane clicked once." | | 16 | "He was closer." | | 17 | "She felt the heat of" | | 18 | "He said nothing else for" | | 19 | "She set her jaw." |
| | ratio | 0.405 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 111 | | matches | | 0 | "The bell over the curry" | | 1 | "Rory counted one floorboard creak," | | 2 | "Ptolemy lifted his head from" | | 3 | "The cat stared at the" | | 4 | "Eva's neat handwriting marked three" | | 5 | "Rory flipped the top deadbolt," | | 6 | "Her left wrist caught the" | | 7 | "The crescent scar there went" | | 8 | "She flipped the bottom." | | 9 | "The door gave an inch." | | 10 | "The smell of cold autumn" | | 11 | "A hand, pale, knuckles scarred," | | 12 | "Lucien stood in the hall." | | 13 | "Rain beaded on the shoulders" | | 14 | "His platinum hair was not" | | 15 | "His cane hung from his" | | 16 | "Rory's fingers tightened around the" | | 17 | "Plaster dust ground under her" | | 18 | "Lucien's gaze swept past her." | | 19 | "Books towered on every surface" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |