| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "he answered quietly [quietly]" |
| | dialogueSentences | 32 | | tagDensity | 0.531 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 65.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1166 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "loosely" | | 1 | "very" | | 2 | "quickly" | | 3 | "slowly" | | 4 | "suddenly" | | 5 | "barely above a whisper" |
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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) | |
| 87.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1166 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "flicked" | | 1 | "whisper" | | 2 | "traced" |
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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 | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1174 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 814 | | uniqueNames | 7 | | maxNameDensity | 0.61 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | Jehovah | 1 | | Witness | 1 | | Lucien | 2 | | Moreau | 1 | | Rory | 5 | | Ptolemy | 2 |
| | persons | | 0 | "Eva" | | 1 | "Jehovah" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Rory" | | 5 | "Ptolemy" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 1174 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 32.61 | | std | 25.52 | | cv | 0.782 | | sampleLengths | | 0 | 67 | | 1 | 6 | | 2 | 72 | | 3 | 21 | | 4 | 21 | | 5 | 24 | | 6 | 29 | | 7 | 28 | | 8 | 18 | | 9 | 48 | | 10 | 33 | | 11 | 6 | | 12 | 63 | | 13 | 8 | | 14 | 57 | | 15 | 8 | | 16 | 69 | | 17 | 7 | | 18 | 11 | | 19 | 74 | | 20 | 7 | | 21 | 67 | | 22 | 13 | | 23 | 2 | | 24 | 85 | | 25 | 19 | | 26 | 46 | | 27 | 22 | | 28 | 45 | | 29 | 20 | | 30 | 51 | | 31 | 22 | | 32 | 1 | | 33 | 82 | | 34 | 6 | | 35 | 16 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 136 | | matches | | 0 | "was doing" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 79 | | ratio | 0.076 | | matches | | 0 | "She expected the postman, or Eva returning early with bags of takeaway, or — worst case — a Jehovah's Witness immune to the curry-shop smell that clung to the stairwell." | | 1 | "Not hard — he didn't shove, didn't force." | | 2 | "She watched something move behind his face — a flinch, quickly smoothed, the kind of tell she'd learned to read across a hundred shared rooms and three months of running and one terrible morning when she'd woken alone with a note and an address and no Lucien." | | 3 | "He came in slowly, taking in the flat the way he took in everything — cataloguing it, valuing it." | | 4 | "\"From everything that wants what I am.\" He took a step closer, and she could smell him now — cedar and cold air and something faintly sulphurous underneath, the half of him that wasn't human at all." | | 5 | "He reached out instead — slow, asking — and turned her wrist over with two fingers, baring the small pale crescent there." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 807 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03345724907063197 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012391573729863693 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 14.86 | | std | 12.04 | | cv | 0.81 | | sampleLengths | | 0 | 9 | | 1 | 28 | | 2 | 30 | | 3 | 6 | | 4 | 28 | | 5 | 12 | | 6 | 32 | | 7 | 5 | | 8 | 8 | | 9 | 8 | | 10 | 3 | | 11 | 2 | | 12 | 16 | | 13 | 7 | | 14 | 16 | | 15 | 1 | | 16 | 21 | | 17 | 8 | | 18 | 11 | | 19 | 17 | | 20 | 18 | | 21 | 7 | | 22 | 8 | | 23 | 21 | | 24 | 6 | | 25 | 4 | | 26 | 2 | | 27 | 4 | | 28 | 29 | | 29 | 6 | | 30 | 16 | | 31 | 47 | | 32 | 8 | | 33 | 6 | | 34 | 25 | | 35 | 26 | | 36 | 8 | | 37 | 19 | | 38 | 7 | | 39 | 5 | | 40 | 12 | | 41 | 26 | | 42 | 7 | | 43 | 9 | | 44 | 2 | | 45 | 5 | | 46 | 20 | | 47 | 36 | | 48 | 6 | | 49 | 7 |
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| 50.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3924050632911392 | | totalSentences | 79 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 58 | | matches | | 0 | "She expected the postman, or" | | 1 | "She did not expect Lucien" | | 2 | "He stood on the landing" | | 3 | "His mismatched eyes found hers." | | 4 | "Her name in his mouth," | | 5 | "She kept one hand on" | | 6 | "Her voice came out steadier" | | 7 | "She started to swing the" | | 8 | "He simply set the ivory" | | 9 | "She could have pushed past" | | 10 | "She knew she could." | | 11 | "She watched something move behind" | | 12 | "he answered quietly" | | 13 | "She stepped back and let" | | 14 | "He came in slowly, taking" | | 15 | "He set his cane against" | | 16 | "She folded her arms" | | 17 | "He turned to face her," | | 18 | "he said now" | | 19 | "She lifted her chin" |
| | ratio | 0.552 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 58 | | matches | | 0 | "The third deadbolt was always" | | 1 | "Rory had to put her" | | 2 | "She expected the postman, or" | | 3 | "She did not expect Lucien" | | 4 | "He stood on the landing" | | 5 | "The ivory handle of his" | | 6 | "The other he kept tucked" | | 7 | "His mismatched eyes found hers." | | 8 | "The amber one caught the" | | 9 | "The black one gave nothing" | | 10 | "Her name in his mouth," | | 11 | "She kept one hand on" | | 12 | "Ptolemy wound between her ankles," | | 13 | "Her voice came out steadier" | | 14 | "A faint curve at the" | | 15 | "She started to swing the" | | 16 | "The tip of the cane" | | 17 | "He simply set the ivory" | | 18 | "She could have pushed past" | | 19 | "She knew she could." |
| | ratio | 0.931 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 58 | | matches | | 0 | "Even Ptolemy had stilled, curled" |
| | ratio | 0.017 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "She expected the postman, or Eva returning early with bags of takeaway, or — worst case — a Jehovah's Witness immune to the curry-shop smell that clung to the s…" | | 1 | "He stood on the landing as though he'd been poured there, all sharp lines and stillness, his charcoal suit immaculate despite the rain misting the window behind…" | | 2 | "Ptolemy wound between her ankles, oblivious, purring at the stranger as if he were a friend." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0 | | effectiveRatio | 0 | |