| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.256 | | leniency | 0.513 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2148 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "gently" | | 2 | "perfectly" |
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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) | |
| 62.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2148 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "traced" | | 2 | "measured" | | 3 | "silence" | | 4 | "sentinel" | | 5 | "pulse" | | 6 | "stomach" | | 7 | "perfect" | | 8 | "familiar" | | 9 | "warmth" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2145 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1522 | | uniqueNames | 7 | | maxNameDensity | 1.12 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Lucien | 17 | | Aurora | 13 | | London | 1 | | Brick | 2 | | Lane | 2 | | Ptolemy | 6 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Aurora" | | 3 | "Ptolemy" |
| | places | | | globalScore | 0.942 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 110 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed deeper tonight, like it held every unsaid thing between them" | | 1 | "seemed stronger now, grounding her in the physical world while his presence tugged her toward something far more dangerous" |
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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 | 2145 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 163 | | matches | | 0 | "chose that moment" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 27.86 | | std | 17.8 | | cv | 0.639 | | sampleLengths | | 0 | 77 | | 1 | 15 | | 2 | 7 | | 3 | 14 | | 4 | 43 | | 5 | 10 | | 6 | 18 | | 7 | 18 | | 8 | 53 | | 9 | 36 | | 10 | 14 | | 11 | 21 | | 12 | 29 | | 13 | 20 | | 14 | 23 | | 15 | 51 | | 16 | 22 | | 17 | 24 | | 18 | 33 | | 19 | 39 | | 20 | 13 | | 21 | 30 | | 22 | 52 | | 23 | 49 | | 24 | 43 | | 25 | 9 | | 26 | 42 | | 27 | 38 | | 28 | 10 | | 29 | 23 | | 30 | 9 | | 31 | 18 | | 32 | 14 | | 33 | 49 | | 34 | 29 | | 35 | 32 | | 36 | 23 | | 37 | 33 | | 38 | 55 | | 39 | 34 | | 40 | 7 | | 41 | 26 | | 42 | 28 | | 43 | 57 | | 44 | 9 | | 45 | 9 | | 46 | 9 | | 47 | 59 | | 48 | 8 | | 49 | 66 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 264 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 163 | | ratio | 0.012 | | matches | | 0 | "His slicked-back platinum hair caught the overhead bulb, and those mismatched eyes—one amber, one black—held steady on her face." | | 1 | "The history between them stretched like a rope pulled taut—attraction on one end, hurt on the other, and all the unsaid things tangled in the middle." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1528 | | adjectiveStacks | 1 | | stackExamples | | 0 | "growing cold beside him." |
| | adverbCount | 57 | | adverbRatio | 0.037303664921465966 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008507853403141362 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 13.16 | | std | 8.2 | | cv | 0.623 | | sampleLengths | | 0 | 13 | | 1 | 27 | | 2 | 18 | | 3 | 19 | | 4 | 15 | | 5 | 7 | | 6 | 14 | | 7 | 17 | | 8 | 16 | | 9 | 10 | | 10 | 10 | | 11 | 18 | | 12 | 18 | | 13 | 9 | | 14 | 15 | | 15 | 6 | | 16 | 23 | | 17 | 7 | | 18 | 19 | | 19 | 10 | | 20 | 14 | | 21 | 21 | | 22 | 15 | | 23 | 14 | | 24 | 20 | | 25 | 5 | | 26 | 13 | | 27 | 5 | | 28 | 51 | | 29 | 7 | | 30 | 15 | | 31 | 24 | | 32 | 3 | | 33 | 11 | | 34 | 8 | | 35 | 4 | | 36 | 7 | | 37 | 5 | | 38 | 34 | | 39 | 13 | | 40 | 30 | | 41 | 16 | | 42 | 9 | | 43 | 8 | | 44 | 19 | | 45 | 20 | | 46 | 9 | | 47 | 6 | | 48 | 14 | | 49 | 14 |
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| 45.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3006134969325153 | | totalSentences | 163 | | uniqueOpeners | 49 | |
| 50.13% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 133 | | matches | | 0 | "Instead she leaned forward and" | | 1 | "Then Lucien made a low" |
| | ratio | 0.015 | |
| 75.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 133 | | matches | | 0 | "His slicked-back platinum hair caught" | | 1 | "She tightened her grip on" | | 2 | "He glanced past her at" | | 3 | "He crossed the threshold, bringing" | | 4 | "She threw the deadbolts again," | | 5 | "He shrugged out of his" | | 6 | "He followed but stopped at" | | 7 | "She measured tea leaves into" | | 8 | "Her voice stayed level, but" | | 9 | "She slid his mug across" | | 10 | "Their fingers nearly brushed." | | 11 | "She pulled back at the" | | 12 | "She tested the word" | | 13 | "He lifted the mug and" | | 14 | "She had seen him gentle" | | 15 | "She carried her own mug" | | 16 | "Their knees ended up inches" | | 17 | "She stared into her tea" | | 18 | "She looked at him then," | | 19 | "His jaw carried the faintest" |
| | ratio | 0.361 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 133 | | matches | | 0 | "The door swung inward after" | | 1 | "Aurora stood framed in the" | | 2 | "Lucien filled the space, charcoal" | | 3 | "His slicked-back platinum hair caught" | | 4 | "Ptolemy slipped between her ankles," | | 5 | "Lucien shifted his weight onto" | | 6 | "She tightened her grip on" | | 7 | "The cramped flat behind her" | | 8 | "Scrolls lay piled on the" | | 9 | "He glanced past her at" | | 10 | "Aurora stepped aside, one hand" | | 11 | "He crossed the threshold, bringing" | | 12 | "The door clicked shut behind" | | 13 | "She threw the deadbolts again," | | 14 | "Lucien set the cane against" | | 15 | "He shrugged out of his" | | 16 | "Ptolemy leaped onto the seat" | | 17 | "Aurora moved to the narrow" | | 18 | "He followed but stopped at" | | 19 | "The space was too small" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 3 | | matches | | 0 | "The man who had walked away to protect her now sat in Eva's cluttered flat with a cat on his lap and tea growing cold beside him." | | 1 | "His fingers traced idle patterns on her arm, avoiding the scar, mapping new territory." | | 2 | "And in the cramped flat above the curry house, two people who had parted on complicated terms began the slow work of fitting their broken pieces back together, …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |