| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 3 | | adverbTags | | 0 | "Lucien admitted softly [softly]" | | 1 | "he said simply [simply]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 25 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0.333 | | effectiveRatio | 0.24 | |
| 72.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1087 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "sharply" | | 2 | "slowly" |
| |
| 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) | |
| 8.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1087 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "skipped a beat" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "etched" | | 1 | "flicked" | | 2 | "charged" | | 3 | "flickered" | | 4 | "weight" | | 5 | "echo" | | 6 | "gleaming" | | 7 | "skipped a beat" | | 8 | "silk" | | 9 | "tension" | | 10 | "raced" | | 11 | "jaw clenched" | | 12 | "facade" | | 13 | "chaotic" | | 14 | "reminder" | | 15 | "echoed" | | 16 | "calculated" | | 17 | "pounding" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 2 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "fists clenched" | | 2 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1068 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 665 | | uniqueNames | 4 | | maxNameDensity | 0.75 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 5 | | French | 1 | | Anger | 1 | | Cardiff | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like those ghosts crept back" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1068 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 78.39% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 35.6 | | std | 15.11 | | cv | 0.424 | | sampleLengths | | 0 | 63 | | 1 | 21 | | 2 | 57 | | 3 | 20 | | 4 | 39 | | 5 | 16 | | 6 | 43 | | 7 | 51 | | 8 | 51 | | 9 | 37 | | 10 | 12 | | 11 | 22 | | 12 | 8 | | 13 | 41 | | 14 | 42 | | 15 | 56 | | 16 | 25 | | 17 | 49 | | 18 | 42 | | 19 | 50 | | 20 | 36 | | 21 | 53 | | 22 | 48 | | 23 | 17 | | 24 | 22 | | 25 | 34 | | 26 | 35 | | 27 | 14 | | 28 | 21 | | 29 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 72 | | ratio | 0.111 | | matches | | 0 | "The door swung open before she had a chance to react, revealing Lucien's slicked-back platinum blond hair and piercing heterochromatic eyes—one amber, one black—etched with a hint of annoyance and something softer, something almost desperate." | | 1 | "Her dominant eye, the bright blue that drew in everything like a magnet, flicked over him—his tailored charcoal suit, the faint smudge of dirt on his sleek cheek." | | 2 | "“You always did run your mouth, Caroline. Or should I say, Aurora?” His gaze flickered with something flickering beneath the veneer—remorse?" | | 3 | "Her left wrist tingled—still faint from the scar beneath her sleeve, the echo of childhood scars and battles long fought." | | 4 | "The nickname made her tighten, clutching her pendant—her anchor." | | 5 | "Her shoulders sagged, but her mind raced—fingers tightening on the small crescent scar on her wrist." | | 6 | "Their history—bittersweet, tangled like a web—spun itself into every glance, every syllable." | | 7 | "And he stepped closer—closer than she’d ever permitted—eyes blazing with the same dangerous allure that had always pulled her in." |
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| 99.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 591 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.04060913705583756 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005076142131979695 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 14.83 | | std | 8.94 | | cv | 0.602 | | sampleLengths | | 0 | 35 | | 1 | 9 | | 2 | 19 | | 3 | 21 | | 4 | 16 | | 5 | 28 | | 6 | 13 | | 7 | 20 | | 8 | 9 | | 9 | 21 | | 10 | 1 | | 11 | 8 | | 12 | 9 | | 13 | 7 | | 14 | 8 | | 15 | 21 | | 16 | 14 | | 17 | 3 | | 18 | 20 | | 19 | 15 | | 20 | 13 | | 21 | 18 | | 22 | 10 | | 23 | 23 | | 24 | 37 | | 25 | 9 | | 26 | 3 | | 27 | 22 | | 28 | 3 | | 29 | 5 | | 30 | 11 | | 31 | 8 | | 32 | 5 | | 33 | 9 | | 34 | 8 | | 35 | 13 | | 36 | 29 | | 37 | 5 | | 38 | 16 | | 39 | 17 | | 40 | 18 | | 41 | 7 | | 42 | 18 | | 43 | 7 | | 44 | 42 | | 45 | 12 | | 46 | 30 | | 47 | 13 | | 48 | 37 | | 49 | 11 |
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| 59.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3888888888888889 | | totalSentences | 72 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 54 | | matches | | 0 | "he said, voice low and" | | 1 | "She stared, breath caught in" | | 2 | "Her dominant eye, the bright" | | 3 | "she managed, voice shaky but" | | 4 | "His gaze flickered with something" | | 5 | "Her fists clenched before she" | | 6 | "He pushed off the doorframe," | | 7 | "Her mind spun." | | 8 | "Her left wrist tingled—still faint" | | 9 | "He paused, gaze flickering to" | | 10 | "Her eyes narrowed." | | 11 | "He drew the cane from" | | 12 | "Her heart skipped a beat." | | 13 | "His half-demon blood slicked his" | | 14 | "he said simply, voice like" | | 15 | "Her shoulders sagged, but her" | | 16 | "She remembered all those nights" | | 17 | "She’d left behind the doubts" | | 18 | "she finally whispered" | | 19 | "She shook her head, biting" |
| | ratio | 0.593 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 54 | | matches | | 0 | "The door swung open before" | | 1 | "A sharp edge of surprise" | | 2 | "Rory froze, ribs tight, as" | | 3 | "he said, voice low and" | | 4 | "She stared, breath caught in" | | 5 | "Her dominant eye, the bright" | | 6 | "The air between them charged," | | 7 | "she managed, voice shaky but" | | 8 | "Lucien’s lips curled into a" | | 9 | "His gaze flickered with something" | | 10 | "Her fists clenched before she" | | 11 | "He pushed off the doorframe," | | 12 | "The moonlight spilled over him," | | 13 | "Her mind spun." | | 14 | "Her left wrist tingled—still faint" | | 15 | "A million emotions warred in" | | 16 | "He paused, gaze flickering to" | | 17 | "Every inch covered with notes," | | 18 | "Sherlock would have called it" | | 19 | "Lucien admitted softly, voice stripped" |
| | ratio | 0.926 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "Her breath hitched, pushing her back another step, her heart pounding against her ribs." | | 1 | "And he stepped closer—closer than she’d ever permitted—eyes blazing with the same dangerous allure that had always pulled her in." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien admitted softly, voice stripped of bravado," | | 1 | "she echoed, voice trembling" | | 2 | "she whispered, voice barely above a murmur," |
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| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien admitted softly (admit)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.4 | | effectiveRatio | 0.16 | |