| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned away [away]" |
| | dialogueSentences | 54 | | tagDensity | 0.352 | | leniency | 0.704 | | rawRatio | 0.053 | | effectiveRatio | 0.037 | |
| 81.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1341 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "lightly" | | 3 | "carefully" |
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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) | |
| 55.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1341 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoed" | | 1 | "familiar" | | 2 | "perfect" | | 3 | "chaotic" | | 4 | "silence" | | 5 | "chill" | | 6 | "dance" | | 7 | "unsettled" | | 8 | "pounding" | | 9 | "flickered" | | 10 | "constructed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1341 | | ratio | 0.003 | | matches | | 0 | "Forgive the intrusion. L.M." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 823 | | uniqueNames | 5 | | maxNameDensity | 0.97 | | worstName | "Eva" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Moreau | 1 | | Didn | 1 | | Eva | 8 | | Lucien | 5 | | Bloomsbury | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a key turning in a lock she’d" |
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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 | 1341 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 27.37 | | std | 20.23 | | cv | 0.739 | | sampleLengths | | 0 | 62 | | 1 | 5 | | 2 | 76 | | 3 | 23 | | 4 | 14 | | 5 | 6 | | 6 | 78 | | 7 | 25 | | 8 | 33 | | 9 | 32 | | 10 | 22 | | 11 | 25 | | 12 | 13 | | 13 | 18 | | 14 | 56 | | 15 | 9 | | 16 | 34 | | 17 | 15 | | 18 | 10 | | 19 | 12 | | 20 | 46 | | 21 | 6 | | 22 | 41 | | 23 | 24 | | 24 | 46 | | 25 | 14 | | 26 | 21 | | 27 | 14 | | 28 | 34 | | 29 | 16 | | 30 | 41 | | 31 | 66 | | 32 | 29 | | 33 | 3 | | 34 | 30 | | 35 | 14 | | 36 | 38 | | 37 | 37 | | 38 | 57 | | 39 | 18 | | 40 | 25 | | 41 | 1 | | 42 | 3 | | 43 | 12 | | 44 | 8 | | 45 | 74 | | 46 | 13 | | 47 | 4 | | 48 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 145 | | matches | | 0 | "was just beginning" | | 1 | "were starting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 122 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 829 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.038600723763570564 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009650180940892641 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 10.99 | | std | 6.9 | | cv | 0.627 | | sampleLengths | | 0 | 16 | | 1 | 13 | | 2 | 20 | | 3 | 6 | | 4 | 7 | | 5 | 5 | | 6 | 18 | | 7 | 12 | | 8 | 18 | | 9 | 21 | | 10 | 7 | | 11 | 3 | | 12 | 2 | | 13 | 18 | | 14 | 5 | | 15 | 4 | | 16 | 5 | | 17 | 6 | | 18 | 13 | | 19 | 9 | | 20 | 18 | | 21 | 26 | | 22 | 12 | | 23 | 12 | | 24 | 2 | | 25 | 11 | | 26 | 6 | | 27 | 9 | | 28 | 13 | | 29 | 5 | | 30 | 14 | | 31 | 18 | | 32 | 10 | | 33 | 12 | | 34 | 7 | | 35 | 6 | | 36 | 5 | | 37 | 7 | | 38 | 6 | | 39 | 7 | | 40 | 5 | | 41 | 7 | | 42 | 6 | | 43 | 14 | | 44 | 8 | | 45 | 13 | | 46 | 21 | | 47 | 9 | | 48 | 19 | | 49 | 15 |
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| 58.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.38524590163934425 | | totalSentences | 122 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 82 | | matches | | 0 | "Of course he knew." | | 1 | "Of course Eva had spoken" | | 2 | "Then the sound of all" |
| | ratio | 0.037 | |
| 15.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 82 | | matches | | 0 | "She didn’t look through the" | | 1 | "She pulled the door open." | | 2 | "His ivory-handled cane rested against" | | 3 | "He looked exactly as he" | | 4 | "Her name, in his low," | | 5 | "She didn’t step back" | | 6 | "She held his gaze for" | | 7 | "He followed, his presence immediately" | | 8 | "she said, moving to the" | | 9 | "He didn’t sit" | | 10 | "He leaned instead against the" | | 11 | "She filled the kettle, the" | | 12 | "He watched her, his head" | | 13 | "she repeated, flicking the switch" | | 14 | "She turned, crossing her arms." | | 15 | "She knew about mistakes" | | 16 | "She’d made a monumental one" | | 17 | "He reached into his inner" | | 18 | "It looked old, the edges" | | 19 | "He placed it on the" |
| | ratio | 0.512 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 82 | | matches | | 0 | "The click of three deadbolts" | | 1 | "Aurora’s hand stilled on the" | | 2 | "The scent of frying onions" | | 3 | "She didn’t look through the" | | 4 | "The triple-tap knock hadn’t been" | | 5 | "She pulled the door open." | | 6 | "Lucien Moreau filled the frame," | | 7 | "His ivory-handled cane rested against" | | 8 | "He looked exactly as he" | | 9 | "The tailored suit was immaculate," | | 10 | "The black eye, as always," | | 11 | "Her name, in his low," | | 12 | "She didn’t step back" | | 13 | "She held his gaze for" | | 14 | "He followed, his presence immediately" | | 15 | "Books and scrolls covered every" | | 16 | "Ptolemy, Eva’s tabby, trotted out" | | 17 | "Lucien’s gaze swept the room," | | 18 | "she said, moving to the" | | 19 | "The kitchenette was barely a" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The tailored suit was immaculate, the slicked-back hair perfect, but the amber eye held a weariness that hadn’t been there before." | | 1 | "Eva, who had introduced them all those years ago at a dusty antiquarian bookshop in Bloomsbury." |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "She filled, the sound of water loud in the silence" | | 1 | "he said, the word sounding foreign in his mouth" | | 2 | "She took, the tea scalding her tongue" | | 3 | "he said, his voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 54 | | tagDensity | 0.093 | | leniency | 0.185 | | rawRatio | 0.2 | | effectiveRatio | 0.037 | |