| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1116 | | totalAiIsmAdverbs | 2 | | 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) | |
| 28.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1116 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "predator" | | 1 | "shimmered" | | 2 | "abyssal" | | 3 | "intensity" | | 4 | "whisper" | | 5 | "could feel" | | 6 | "weight" | | 7 | "searing" | | 8 | "silence" | | 9 | "simmering" | | 10 | "perfect" | | 11 | "electric" | | 12 | "shattered" | | 13 | "echoed" | | 14 | "flicked" |
| |
| 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 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 6 | | totalWords | 1116 | | ratio | 0.005 | | matches | | 0 | "The Lesser Key of Solomon" | | 1 | "shink" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 745 | | uniqueNames | 8 | | maxNameDensity | 1.21 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Lucien | 8 | | Moreau | 1 | | Ptolemy | 1 | | Aurora | 9 | | Lesser | 1 | | Key | 1 | | Soho | 1 | | London | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" |
| | places | | | globalScore | 0.896 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a physical weight, pressing t" |
| |
| 20.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.792 | | wordCount | 1116 | | matches | | 0 | "Not just the purebreds, but the half-castes" | | 1 | "Not a knock, but the sound of something large hitting the door" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 21.88 | | std | 16.05 | | cv | 0.734 | | sampleLengths | | 0 | 4 | | 1 | 41 | | 2 | 63 | | 3 | 19 | | 4 | 44 | | 5 | 6 | | 6 | 63 | | 7 | 4 | | 8 | 11 | | 9 | 35 | | 10 | 4 | | 11 | 20 | | 12 | 10 | | 13 | 44 | | 14 | 37 | | 15 | 47 | | 16 | 5 | | 17 | 5 | | 18 | 22 | | 19 | 5 | | 20 | 20 | | 21 | 26 | | 22 | 15 | | 23 | 27 | | 24 | 30 | | 25 | 7 | | 26 | 17 | | 27 | 15 | | 28 | 24 | | 29 | 48 | | 30 | 9 | | 31 | 7 | | 32 | 33 | | 33 | 37 | | 34 | 7 | | 35 | 8 | | 36 | 39 | | 37 | 2 | | 38 | 14 | | 39 | 5 | | 40 | 7 | | 41 | 50 | | 42 | 15 | | 43 | 13 | | 44 | 11 | | 45 | 32 | | 46 | 32 | | 47 | 18 | | 48 | 32 | | 49 | 13 |
| |
| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "was slicked" | | 1 | "were pinned" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 121 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 92 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 750 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "massive, grey-skinned hand" |
| | adverbCount | 21 | | adverbRatio | 0.028 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009333333333333334 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 12.13 | | std | 7.22 | | cv | 0.595 | | sampleLengths | | 0 | 4 | | 1 | 12 | | 2 | 10 | | 3 | 19 | | 4 | 10 | | 5 | 13 | | 6 | 23 | | 7 | 17 | | 8 | 5 | | 9 | 14 | | 10 | 4 | | 11 | 14 | | 12 | 6 | | 13 | 20 | | 14 | 6 | | 15 | 14 | | 16 | 17 | | 17 | 12 | | 18 | 20 | | 19 | 4 | | 20 | 11 | | 21 | 8 | | 22 | 9 | | 23 | 18 | | 24 | 4 | | 25 | 20 | | 26 | 10 | | 27 | 19 | | 28 | 25 | | 29 | 16 | | 30 | 13 | | 31 | 8 | | 32 | 35 | | 33 | 3 | | 34 | 2 | | 35 | 7 | | 36 | 5 | | 37 | 5 | | 38 | 22 | | 39 | 5 | | 40 | 20 | | 41 | 7 | | 42 | 9 | | 43 | 10 | | 44 | 15 | | 45 | 27 | | 46 | 6 | | 47 | 24 | | 48 | 7 | | 49 | 17 |
| |
| 39.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.30434782608695654 | | totalSentences | 92 | | uniqueOpeners | 28 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | | ratio | 0.017 | |
| 36.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 59 | | matches | | 0 | "She didn't need to look" | | 1 | "It had the cadence of" | | 2 | "She opened the door wide" | | 3 | "He looked exactly as he" | | 4 | "He wore a charcoal tailored" | | 5 | "He leaned slightly on his" | | 6 | "He didn't wait for an" | | 7 | "He stepped past her, the" | | 8 | "He paused in the centre" | | 9 | "His eyes drifted to her" | | 10 | "He moved closer, the distance" | | 11 | "He was a half-demon, and" | | 12 | "She stumbled, and for a" | | 13 | "His fingers gripped her forearm," | | 14 | "She wrenched her arm away." | | 15 | "She walked toward the small" | | 16 | "She grabbed a chipped ceramic" | | 17 | "She turned, leaning against the" | | 18 | "She found only a terrifying," | | 19 | "He stepped forward again, this" |
| | ratio | 0.458 | |
| 2.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 59 | | matches | | 0 | "Aurora froze, her hand still" | | 1 | "She didn't need to look" | | 2 | "It had the cadence of" | | 3 | "She opened the door wide" | | 4 | "He looked exactly as he" | | 5 | "He wore a charcoal tailored" | | 6 | "He leaned slightly on his" | | 7 | "Lucien tilted his head." | | 8 | "The amber eye shimmered with" | | 9 | "He didn't wait for an" | | 10 | "He stepped past her, the" | | 11 | "He paused in the centre" | | 12 | "Books on demonology and occult" | | 13 | "Lucien turned back to her," | | 14 | "The playfulness vanished, replaced by" | | 15 | "His eyes drifted to her" | | 16 | "He moved closer, the distance" | | 17 | "He was a half-demon, and" | | 18 | "Aurora stepped back, her heel" | | 19 | "She stumbled, and for a" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "It had the cadence of a predator, a smooth, cultured drawl that tasted of expensive cigarettes and old secrets." | | 1 | "He wore a charcoal tailored suit that hugged a lean, athletic frame, and his platinum blond hair was slicked back with surgical precision." | | 2 | "The touch sparked a memory: a rain-slicked alley in Soho, the taste of salt and desperation, and the way he had looked at her as if she were the only thing in L…" | | 3 | "For a moment, the anger dissolved, replaced by a raw, aching longing that made her want to pull him closer and scream at him all at once." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "he murmured, his voice dropping an octave" | | 1 | "Lucien said, his amber eye glowing with a sudden, predatory light," |
| |
| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0.5 | | effectiveRatio | 0.114 | |