| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 64.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1264 | | totalAiIsmAdverbs | 9 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 2 |
| | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "really" | | 1 | "carefully" | | 2 | "deliberately" | | 3 | "quickly" | | 4 | "slightly" | | 5 | "tightly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1264 | | totalAiIsms | 27 | | 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 | |
| | highlights | | 0 | "intensity" | | 1 | "depths" | | 2 | "eyebrow" | | 3 | "familiar" | | 4 | "stomach" | | 5 | "apprehension" | | 6 | "chaotic" | | 7 | "testament" | | 8 | "vibrated" | | 9 | "unspoken" | | 10 | "unreadable" | | 11 | "gleaming" | | 12 | "echoed" | | 13 | "flicker" | | 14 | "calculated" | | 15 | "remarkable" | | 16 | "reminder" | | 17 | "could feel" | | 18 | "constructed" | | 19 | "complex" | | 20 | "fragmented" | | 21 | "facade" | | 22 | "whisper" | | 23 | "weight" |
| |
| 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 | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 87.20% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1254 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 943 | | uniqueNames | 14 | | maxNameDensity | 1.06 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Mrs | 1 | | Lucien | 10 | | Moreau | 1 | | French | 1 | | London | 2 | | Rory | 10 | | Eva | 3 | | Persian | 1 | | Ptolemy | 3 | | Marseille | 1 | | Avaros | 1 | | Evan | 2 |
| | persons | | 0 | "Mrs" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "Evan" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Marseille" |
| | globalScore | 0.97 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "quite place, overlaid with the faintest hint of something older, something indefinable, that always made her skin prickle" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1254 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 85.67% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 36.88 | | std | 16.59 | | cv | 0.45 | | sampleLengths | | 0 | 62 | | 1 | 39 | | 2 | 10 | | 3 | 48 | | 4 | 25 | | 5 | 44 | | 6 | 6 | | 7 | 63 | | 8 | 56 | | 9 | 36 | | 10 | 29 | | 11 | 24 | | 12 | 52 | | 13 | 28 | | 14 | 25 | | 15 | 23 | | 16 | 41 | | 17 | 20 | | 18 | 10 | | 19 | 77 | | 20 | 40 | | 21 | 35 | | 22 | 64 | | 23 | 46 | | 24 | 14 | | 25 | 53 | | 26 | 41 | | 27 | 45 | | 28 | 38 | | 29 | 39 | | 30 | 28 | | 31 | 17 | | 32 | 38 | | 33 | 38 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 146 | | matches | | 0 | "was avoiding" | | 1 | "was playing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 93 | | ratio | 0.054 | | matches | | 0 | "The heterochromatic eyes—one amber, one black—were fixed on her, a quiet intensity burning in their depths." | | 1 | "He smelled of rain, and something else—a subtle, expensive cologne she couldn’t quite place, overlaid with the faintest hint of something older, something indefinable, that always made her skin prickle." | | 2 | "“So, what are you doing here? You haven’t exactly been a regular visitor since…” she trailed off, unwilling to voice the unspoken words—since the disastrous end of their brief, intense entanglement six months ago." | | 3 | "Rory felt a flicker of something—pity, perhaps—but quickly smothered it." | | 4 | "But something in his expression—the vulnerability she rarely saw—stuck in her throat." |
| |
| 84.20% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 880 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.05113636363636364 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.02727272727272727 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.48 | | std | 7.38 | | cv | 0.547 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 8 | | 3 | 1 | | 4 | 5 | | 5 | 1 | | 6 | 21 | | 7 | 5 | | 8 | 18 | | 9 | 16 | | 10 | 10 | | 11 | 16 | | 12 | 17 | | 13 | 11 | | 14 | 4 | | 15 | 2 | | 16 | 11 | | 17 | 12 | | 18 | 13 | | 19 | 16 | | 20 | 15 | | 21 | 3 | | 22 | 3 | | 23 | 18 | | 24 | 15 | | 25 | 30 | | 26 | 12 | | 27 | 24 | | 28 | 20 | | 29 | 13 | | 30 | 23 | | 31 | 22 | | 32 | 7 | | 33 | 12 | | 34 | 12 | | 35 | 18 | | 36 | 34 | | 37 | 10 | | 38 | 14 | | 39 | 4 | | 40 | 2 | | 41 | 23 | | 42 | 18 | | 43 | 5 | | 44 | 10 | | 45 | 25 | | 46 | 6 | | 47 | 8 | | 48 | 12 | | 49 | 4 |
| |
| 58.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3978494623655914 | | totalSentences | 93 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 22.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 71 | | matches | | 0 | "She’d almost forgotten the order." | | 1 | "He hadn’t changed, not really." | | 2 | "she said, the word a" | | 3 | "His voice was a low" | | 4 | "He raised an eyebrow, a" | | 5 | "He didn’t push, just stood" | | 6 | "he observed, stating the obvious" | | 7 | "She stepped back, holding the" | | 8 | "He shook the rain from" | | 9 | "He smelled of rain, and" | | 10 | "He chuckled, a low, rumbling" | | 11 | "She set the delivery bag" | | 12 | "she trailed off, unwilling to" | | 13 | "He followed her gaze to" | | 14 | "He leaned heavily on his" | | 15 | "he said, his voice losing" | | 16 | "He ignored her sarcasm." | | 17 | "He was playing a game," | | 18 | "He paused, his gaze lingering" | | 19 | "It was a relic of" |
| | ratio | 0.493 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 71 | | matches | | 0 | "The deadbolts clicked, a heavy," | | 1 | "Rory stared at the door," | | 2 | "Chicken and mushroom with extra" | | 3 | "She’d almost forgotten the order." | | 4 | "He hadn’t changed, not really." | | 5 | "The heterochromatic eyes—one amber, one" | | 6 | "she said, the word a" | | 7 | "His voice was a low" | | 8 | "He raised an eyebrow, a" | | 9 | "A blatant lie" | | 10 | "The only thing she was" | | 11 | "He didn’t push, just stood" | | 12 | "The rain drummed a steady" | | 13 | "he observed, stating the obvious" | | 14 | "Rory sighed, resigned." | | 15 | "She stepped back, holding the" | | 16 | "He shook the rain from" | | 17 | "He smelled of rain, and" | | 18 | "The flat was, as always," | | 19 | "Books spilled from overflowing shelves," |
| | ratio | 0.93 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 71 | | matches | | 0 | "Because standing on the other" | | 1 | "Now, it just tightened the" |
| | ratio | 0.028 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "He closed the distance between them, his presence filling the small space, forcing her to tilt her head back to meet his gaze." | | 1 | "She could feel the familiar pull, the dangerous magnetism that had almost consumed her before." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory echoed, skepticism dripping from her voice" | | 1 | "she asked, her voice deliberately neutral" | | 2 | "she asked, her voice barely a whisper" | | 3 | "He paused, his gaze intense" |
| |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 34 | | tagDensity | 0.265 | | leniency | 0.529 | | rawRatio | 0.222 | | effectiveRatio | 0.118 | |