| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 988 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "really" | | 3 | "barely above a whisper" |
| |
| 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) | |
| 8.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 988 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "lilt" | | 1 | "pulse" | | 2 | "charged" | | 3 | "silence" | | 4 | "flicked" | | 5 | "stomach" | | 6 | "tension" | | 7 | "down her spine" | | 8 | "whisper" | | 9 | "raced" | | 10 | "racing" | | 11 | "unreadable" | | 12 | "echoing" | | 13 | "could feel" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "clenched into fists" | | 1 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 981 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 764 | | uniqueNames | 6 | | maxNameDensity | 1.57 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 11 | | French | 1 | | Lucien | 12 | | Blackthorn | 1 | | Eva | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Blackthorn" | | 3 | "Eva" | | 4 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.715 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 981 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 20.44 | | std | 13.42 | | cv | 0.656 | | sampleLengths | | 0 | 60 | | 1 | 21 | | 2 | 12 | | 3 | 39 | | 4 | 39 | | 5 | 17 | | 6 | 15 | | 7 | 18 | | 8 | 53 | | 9 | 12 | | 10 | 21 | | 11 | 39 | | 12 | 5 | | 13 | 6 | | 14 | 2 | | 15 | 17 | | 16 | 13 | | 17 | 26 | | 18 | 14 | | 19 | 14 | | 20 | 35 | | 21 | 19 | | 22 | 9 | | 23 | 21 | | 24 | 12 | | 25 | 11 | | 26 | 9 | | 27 | 28 | | 28 | 23 | | 29 | 44 | | 30 | 9 | | 31 | 18 | | 32 | 40 | | 33 | 13 | | 34 | 17 | | 35 | 17 | | 36 | 4 | | 37 | 10 | | 38 | 41 | | 39 | 12 | | 40 | 25 | | 41 | 13 | | 42 | 10 | | 43 | 12 | | 44 | 18 | | 45 | 46 | | 46 | 10 | | 47 | 12 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 57.14% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 140 | | matches | | 0 | "was standing" | | 1 | "were digging were stirring" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 108 | | ratio | 0.056 | | matches | | 0 | "A figure stood silhouetted against the light, tall and broad-shouldered, the faint scent of rain and something sharper—like ozone after a storm—wafting toward her." | | 1 | "The flat smelled of stale coffee and the faint tang of something metallic—blood, maybe, or old iron." | | 2 | "The last time they’d been in the same room, it had ended with her slamming a door in his face—or at least, that’s what she’d thought." | | 3 | "Wanted to tell him she wasn’t alive at all, not really—not since she’d walked away from him." | | 4 | "She’d heard whispers of them—superstitious warnings from old women in the markets, the way people crossed themselves when the name was mentioned." | | 5 | "The Blackthorn coven—long dead, or so they said." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03631647211413749 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00648508430609598 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 9.08 | | std | 5.94 | | cv | 0.654 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 24 | | 3 | 21 | | 4 | 6 | | 5 | 6 | | 6 | 14 | | 7 | 17 | | 8 | 4 | | 9 | 4 | | 10 | 5 | | 11 | 22 | | 12 | 12 | | 13 | 13 | | 14 | 4 | | 15 | 10 | | 16 | 5 | | 17 | 15 | | 18 | 3 | | 19 | 7 | | 20 | 26 | | 21 | 6 | | 22 | 14 | | 23 | 12 | | 24 | 19 | | 25 | 2 | | 26 | 3 | | 27 | 25 | | 28 | 5 | | 29 | 6 | | 30 | 5 | | 31 | 5 | | 32 | 1 | | 33 | 2 | | 34 | 13 | | 35 | 4 | | 36 | 6 | | 37 | 3 | | 38 | 4 | | 39 | 7 | | 40 | 19 | | 41 | 7 | | 42 | 7 | | 43 | 7 | | 44 | 7 | | 45 | 10 | | 46 | 4 | | 47 | 7 | | 48 | 14 | | 49 | 12 |
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| 39.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.28703703703703703 | | totalSentences | 108 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 62.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 76 | | matches | | 0 | "She froze, her breath catching" | | 1 | "He stepped inside, the cane" | | 2 | "She should’ve closed the door." | | 3 | "His lips quirked, just for" | | 4 | "she said, voice steadier than" | | 5 | "His gaze flicked to the" | | 6 | "She pulled her arm back," | | 7 | "His expression darkened, just slightly." | | 8 | "He stepped closer, the cane" | | 9 | "His voice dropped, rougher now" | | 10 | "She swallowed hard, her throat" | | 11 | "His gaze locked onto hers," | | 12 | "She should’ve known better." | | 13 | "she snapped, her voice shaking" | | 14 | "She laughed, bitter and hollow" | | 15 | "His eyes flashed, the amber" | | 16 | "he said, quiet but firm" | | 17 | "She wanted to argue." | | 18 | "She’d heard whispers of them—superstitious" | | 19 | "she asked, her voice barely" |
| | ratio | 0.395 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 76 | | matches | | 0 | "The door swung open with" | | 1 | "She froze, her breath catching" | | 2 | "A figure stood silhouetted against" | | 3 | "Lucien said, his voice smooth" | | 4 | "Rory’s grip tightened on the" | | 5 | "He stepped inside, the cane" | | 6 | "The flat smelled of stale" | | 7 | "She should’ve closed the door." | | 8 | "Lucien’s amber eye caught the" | | 9 | "Rory exhaled through her nose," | | 10 | "His lips quirked, just for" | | 11 | "The silence stretched, thick with" | | 12 | "The last time they’d been" | | 13 | "she said, voice steadier than" | | 14 | "His gaze flicked to the" | | 15 | "Rory’s stomach twisted." | | 16 | "She pulled her arm back," | | 17 | "The night he’d kissed her." | | 18 | "The night she’d kissed him" | | 19 | "His expression darkened, just slightly." |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "And now he was standing in her flat, uninvited, as if he’d never left." | | 1 | "She pulled her arm back, as if the movement alone could erase the memory of his fingers brushing against it that night in the alley." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 13 | | matches | | 0 | "He stepped, the cane tapping once against the wooden floor" | | 1 | "she said, voice steadier than she felt" | | 2 | "He stepped, the cane tapping again, closer than she’d expected" | | 3 | "she snapped, her voice shaking" | | 4 | "he said, quiet but firm" | | 5 | "she asked, her voice barely above a whisper" | | 6 | "he said, his tone grim" | | 7 | "she asked, her voice steadier now" | | 8 | "he asked, his voice low and dangerous" | | 9 | "Rory said, her voice calm" | | 10 | "she said, her voice steady" | | 11 | "he said, his voice low and dangerous" | | 12 | "she said, her voice steady" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "She laughed (laugh)" |
| | dialogueSentences | 48 | | tagDensity | 0.271 | | leniency | 0.542 | | rawRatio | 0.154 | | effectiveRatio | 0.083 | |