| 97.44% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "he countered smoothly [smoothly]" | | 1 | "The volume escalated slightly [slightly]" |
| | dialogueSentences | 39 | | tagDensity | 0.487 | | leniency | 0.974 | | rawRatio | 0.105 | | effectiveRatio | 0.103 | |
| 65.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1321 | | totalAiIsmAdverbs | 9 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "deliberately" | | 3 | "truly" | | 4 | "gently" | | 5 | "suddenly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1321 | | totalAiIsms | 36 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | | | 29 | | | 30 | | | 31 | | | 32 | |
| | highlights | | 0 | "chaotic" | | 1 | "symphony" | | 2 | "cacophony" | | 3 | "searing" | | 4 | "amidst" | | 5 | "flicker" | | 6 | "furrowed" | | 7 | "familiar" | | 8 | "intensity" | | 9 | "efficient" | | 10 | "weight" | | 11 | "electric" | | 12 | "tension" | | 13 | "constructed" | | 14 | "warmth" | | 15 | "complex" | | 16 | "implication" | | 17 | "echoed" | | 18 | "ensuring" | | 19 | "predator" | | 20 | "testament" | | 21 | "delving" | | 22 | "echoes" | | 23 | "could feel" | | 24 | "whisper" | | 25 | "unwavering" | | 26 | "tracing" | | 27 | "single tear" | | 28 | "traced" | | 29 | "silence" | | 30 | "unspoken" | | 31 | "flickered" | | 32 | "gleaming" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "sent a jolt through" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 64 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1328 | | ratio | 0.002 | | matches | | 0 | "Grimoire Veridian" | | 1 | "feeding" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 915 | | uniqueNames | 7 | | maxNameDensity | 0.77 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 7 | | Moreau | 1 | | Golden | 1 | | Empress | 1 | | London | 1 | | Rory | 1 | | Carter | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1328 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 88.22% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 45.79 | | std | 21.01 | | cv | 0.459 | | sampleLengths | | 0 | 111 | | 1 | 86 | | 2 | 87 | | 3 | 47 | | 4 | 54 | | 5 | 46 | | 6 | 29 | | 7 | 56 | | 8 | 22 | | 9 | 52 | | 10 | 36 | | 11 | 39 | | 12 | 39 | | 13 | 45 | | 14 | 17 | | 15 | 59 | | 16 | 19 | | 17 | 40 | | 18 | 47 | | 19 | 33 | | 20 | 61 | | 21 | 39 | | 22 | 8 | | 23 | 34 | | 24 | 40 | | 25 | 41 | | 26 | 37 | | 27 | 54 | | 28 | 50 |
| |
| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 64 | | matches | | 0 | "were clipped" | | 1 | "was replaced" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 83 | | ratio | 0.12 | | matches | | 0 | "He didn’t flinch, didn’t even pause to register the scene – a warren of red and white checked tablecloths, delivery boys wrestling with overflowing trays of noodles, and a kitchen staff sculpted from sweat, spice, and barely contained fury." | | 1 | "The smell of frying onions and something vaguely floral – Rory’s hand-picked lavender sachets, he recalled with a faint, unwelcome flicker of memory – grew stronger with each step." | | 2 | "He’d anticipated the scent; it was a perverse comfort, a thread connecting him to a past he’d spent years meticulously dismantling." | | 3 | "The landing was cramped, cluttered with overflowing bookshelves and haphazard stacks of research materials – maps, journals bound in worn leather, and a disconcerting number of grimoires that looked remarkably well-loved." | | 4 | "He leaned against the doorframe, the ivory-handled cane a silent weight in his hand – a prop more than a necessity." | | 5 | "She finally turned, a slow, deliberate movement that sent a jolt through him – a ghost of the electric tension that had crackled between them five years ago." | | 6 | "“Agreements are fragile things, Aurora,” Lucien said, his heterochromatic eyes – amber and black swirling beneath his platinum blond hair – fixed on her." | | 7 | "She grabbed a book from the shelf - *Grimoire Veridian*, its leather cover scuffed and worn - and slammed it shut." | | 8 | "He stepped closer still, close enough that she could feel the subtle scent of his cologne – a blend of spice and something indefinably dark." | | 9 | "The scent of frying onions was replaced by a sharper, more metallic odor - the unmistakable smell of old blood." |
| |
| 76.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 908 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.05506607929515418 | | lyAdverbCount | 29 | | lyAdverbRatio | 0.031938325991189426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 16 | | std | 8.54 | | cv | 0.534 | | sampleLengths | | 0 | 24 | | 1 | 23 | | 2 | 39 | | 3 | 25 | | 4 | 29 | | 5 | 21 | | 6 | 31 | | 7 | 5 | | 8 | 26 | | 9 | 18 | | 10 | 24 | | 11 | 13 | | 12 | 3 | | 13 | 3 | | 14 | 21 | | 15 | 21 | | 16 | 5 | | 17 | 28 | | 18 | 10 | | 19 | 16 | | 20 | 17 | | 21 | 22 | | 22 | 7 | | 23 | 6 | | 24 | 14 | | 25 | 9 | | 26 | 24 | | 27 | 25 | | 28 | 7 | | 29 | 12 | | 30 | 10 | | 31 | 6 | | 32 | 37 | | 33 | 9 | | 34 | 12 | | 35 | 17 | | 36 | 7 | | 37 | 30 | | 38 | 9 | | 39 | 9 | | 40 | 10 | | 41 | 20 | | 42 | 4 | | 43 | 6 | | 44 | 31 | | 45 | 4 | | 46 | 17 | | 47 | 17 | | 48 | 25 | | 49 | 17 |
| |
| 57.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.37349397590361444 | | totalSentences | 83 | | uniqueOpeners | 31 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Suddenly, a piercing shriek cut" |
| | ratio | 0.016 | |
| 1.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 64 | | matches | | 0 | "He didn’t flinch, didn’t even" | | 1 | "He simply continued, his tailored" | | 2 | "He’d anticipated the scent; it" | | 3 | "Her bright blue eyes, usually" | | 4 | "She hadn't turned, hadn't acknowledged" | | 5 | "It was infuriating." | | 6 | "He leaned against the doorframe," | | 7 | "She finally turned, a slow," | | 8 | "Her expression remained guarded, a" | | 9 | "he countered smoothly, taking a" | | 10 | "He gestured with his cane," | | 11 | "He paused, letting the implication" | | 12 | "She slammed the jar down" | | 13 | "He could smell the faintest" | | 14 | "she corrected, her voice low" | | 15 | "She turned back to the" | | 16 | "He reached out, his fingers" | | 17 | "she challenged, her voice edged" | | 18 | "She finally looked at him," | | 19 | "he replied, his tone carefully" |
| | ratio | 0.547 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 64 | | matches | | 0 | "The brass knob shrieked a" | | 1 | "A cacophony of clattering plates," | | 2 | "He didn’t flinch, didn’t even" | | 3 | "He simply continued, his tailored" | | 4 | "The smell of frying onions" | | 5 | "He’d anticipated the scent; it" | | 6 | "The landing was cramped, cluttered" | | 7 | "Aurora Carter was meticulously dismantling" | | 8 | "Her bright blue eyes, usually" | | 9 | "The crescent-shaped scar on her" | | 10 | "She hadn't turned, hadn't acknowledged" | | 11 | "It was infuriating." | | 12 | "Lucien observed, his voice a" | | 13 | "He leaned against the doorframe," | | 14 | "She finally turned, a slow," | | 15 | "Her expression remained guarded, a" | | 16 | "The words were clipped, precise," | | 17 | "he countered smoothly, taking a" | | 18 | "He gestured with his cane," | | 19 | "A muscle ticked in her" |
| | ratio | 0.922 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 64 | | matches | | 0 | "And, undeniably, captivating." | | 1 | "Before either of them could" |
| | ratio | 0.031 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "He simply continued, his tailored charcoal suit a jarring anomaly amidst the culinary pandemonium, until he reached the narrow, slightly sticky staircase that l…" | | 1 | "The landing was cramped, cluttered with overflowing bookshelves and haphazard stacks of research materials – maps, journals bound in worn leather, and a disconc…" | | 2 | "She finally turned, a slow, deliberate movement that sent a jolt through him – a ghost of the electric tension that had crackled between them five years ago." | | 3 | "She turned back to the counter, deliberately avoiding his gaze, her hands moving with a preoccupied urgency." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 6 | | matches | | 0 | "The volume escalated slightly, a hint of defensiveness creeping into her tone" | | 1 | "she corrected, her voice low and tight" | | 2 | "he replied, his tone carefully neutral" | | 3 | "he said, his voice low and intimate" | | 4 | "she hissed, her voice barely a whisper" | | 5 | "Lucien pressed, his gaze unwavering" |
| |
| 21.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "Lucien observed (observe)" | | 1 | "she corrected (correct)" | | 2 | "she challenged (challenge)" | | 3 | "she hissed (hiss)" | | 4 | "Lucien pressed (press)" |
| | dialogueSentences | 39 | | tagDensity | 0.205 | | leniency | 0.41 | | rawRatio | 0.625 | | effectiveRatio | 0.256 | |