| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "she stated flatly [flatly]" | | 1 | "she finally asked [finally]" |
| | dialogueSentences | 32 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 69.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 997 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "utterly" | | 1 | "slightly" | | 2 | "carefully" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 4.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 997 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "stomach" | | 1 | "echoed" | | 2 | "perfect" | | 3 | "familiar" | | 4 | "scanned" | | 5 | "charged" | | 6 | "tension" | | 7 | "constructed" | | 8 | "unwavering" | | 9 | "flicked" | | 10 | "comforting" | | 11 | "chaotic" | | 12 | "implication" | | 13 | "unreadable" | | 14 | "shimmered" | | 15 | "flickered" | | 16 | "comfortable" | | 17 | "sense of" |
| |
| 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 | 56 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 995 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 698 | | uniqueNames | 9 | | maxNameDensity | 1 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 4 | | Aurora | 7 | | London | 2 | | Camden | 1 | | Market | 1 | | Evan | 1 | | Lucien | 7 | | Moreau | 1 | | Silas | 1 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Evan" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Silas" |
| | places | | | globalScore | 0.999 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 995 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 39.8 | | std | 23.98 | | cv | 0.602 | | sampleLengths | | 0 | 79 | | 1 | 28 | | 2 | 78 | | 3 | 19 | | 4 | 32 | | 5 | 65 | | 6 | 6 | | 7 | 41 | | 8 | 12 | | 9 | 35 | | 10 | 14 | | 11 | 59 | | 12 | 84 | | 13 | 13 | | 14 | 37 | | 15 | 5 | | 16 | 51 | | 17 | 43 | | 18 | 49 | | 19 | 42 | | 20 | 26 | | 21 | 55 | | 22 | 42 | | 23 | 76 | | 24 | 4 |
| |
| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 73.02% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 105 | | matches | | 0 | "was offering" | | 1 | "was offering" |
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| 60.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 69 | | ratio | 0.029 | | matches | | 0 | "It wasn’t a pleasant rain, the kind that washed clean; this was the London rain that clung, bitter and insistent." | | 1 | "She’d been lost in a particularly dense chapter of a grimoire – a study of ancient warding rituals she’d picked up from a dusty stall in Camden Market – when a sharp rap echoed through the small space." |
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| 88.49% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 558 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.04659498207885305 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.026881720430107527 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 14.42 | | std | 8.24 | | cv | 0.571 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 38 | | 3 | 3 | | 4 | 8 | | 5 | 20 | | 6 | 10 | | 7 | 14 | | 8 | 11 | | 9 | 24 | | 10 | 19 | | 11 | 14 | | 12 | 5 | | 13 | 10 | | 14 | 14 | | 15 | 6 | | 16 | 2 | | 17 | 21 | | 18 | 25 | | 19 | 19 | | 20 | 6 | | 21 | 12 | | 22 | 25 | | 23 | 4 | | 24 | 10 | | 25 | 2 | | 26 | 17 | | 27 | 18 | | 28 | 7 | | 29 | 7 | | 30 | 10 | | 31 | 31 | | 32 | 18 | | 33 | 15 | | 34 | 2 | | 35 | 25 | | 36 | 21 | | 37 | 21 | | 38 | 13 | | 39 | 15 | | 40 | 22 | | 41 | 2 | | 42 | 3 | | 43 | 31 | | 44 | 20 | | 45 | 19 | | 46 | 7 | | 47 | 17 | | 48 | 11 | | 49 | 29 |
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| 64.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.42028985507246375 | | totalSentences | 69 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 5.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 54 | | matches | | 0 | "It wasn’t a pleasant rain," | | 1 | "She’d been lost in a" | | 2 | "she called out, already knowing" | | 3 | "He was, as always, an" | | 4 | "His tailored charcoal suit seemed" | | 5 | "He held a single, perfect" | | 6 | "he said, his voice a" | | 7 | "she acknowledged, her voice tight" | | 8 | "He stepped inside, his movements" | | 9 | "He placed the rose on" | | 10 | "she stated flatly, returning to" | | 11 | "he countered, his tone devoid" | | 12 | "He paused, a subtle shift" | | 13 | "She’d told herself it was" | | 14 | "she asked, her voice carefully" | | 15 | "He took a step closer," | | 16 | "Her gaze flicked to" | | 17 | "She hadn't thought of Silas" | | 18 | "He’d always been a comforting" | | 19 | "He smiled, a brief, unsettling" |
| | ratio | 0.537 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 54 | | matches | | 0 | "The rain was a greasy" | | 1 | "It wasn’t a pleasant rain," | | 2 | "She’d been lost in a" | | 3 | "she called out, already knowing" | | 4 | "Eva hadn’t spoken to her" | | 5 | "The door swung inward before" | | 6 | "He was, as always, an" | | 7 | "His tailored charcoal suit seemed" | | 8 | "He held a single, perfect" | | 9 | "he said, his voice a" | | 10 | "Aurora straightened, pulling her black" | | 11 | "The scent of sandalwood and" | | 12 | "she acknowledged, her voice tight" | | 13 | "He stepped inside, his movements" | | 14 | "Books spilled from shelves, scrolls" | | 15 | "Ptolemy, Eva’s tabby cat, regarded" | | 16 | "Aurora observed, gesturing vaguely" | | 17 | "Lucien’s heterochromatic eyes, one amber," | | 18 | "He placed the rose on" | | 19 | "she stated flatly, returning to" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "It wasn’t a pleasant rain, the kind that washed clean; this was the London rain that clung, bitter and insistent." | | 1 | "His tailored charcoal suit seemed to absorb the light, and the slicked-back platinum blond framed a face that was both sharp and utterly captivating." | | 2 | "The air thickened, charged with a tension that had been dormant for far too long." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 5 | | matches | | 0 | "she acknowledged, her voice tight" | | 1 | "he countered, his tone devoid of any discernible humour" | | 2 | "she asked, her voice carefully neutral" | | 3 | "Lucien began, his gaze unwavering" | | 4 | "she stated, the words feeling surprisingly unfamiliar on her tongue" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 7 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she acknowledged (acknowledge)" | | 2 | "Aurora observed (observe)" | | 3 | "she stated flatly (state)" | | 4 | "Lucien continued (continue)" | | 5 | "she stated (state)" | | 6 | "Lucien corrected (correct)" |
| | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.636 | | effectiveRatio | 0.438 | |