| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.271 | | leniency | 0.543 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1390 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 1390 | | totalAiIsms | 28 | | 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 | "lilt" | | 1 | "tension" | | 2 | "stomach" | | 3 | "pounding" | | 4 | "flicked" | | 5 | "traced" | | 6 | "clandestine" | | 7 | "fluttered" | | 8 | "silk" | | 9 | "silence" | | 10 | "whisper" | | 11 | "sanctuary" | | 12 | "pulse" | | 13 | "thundered" | | 14 | "long shadow" | | 15 | "trembled" | | 16 | "porcelain" | | 17 | "raced" | | 18 | "throbbed" | | 19 | "loomed" | | 20 | "gleaming" | | 21 | "footsteps" | | 22 | "charged" | | 23 | "furrowed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 133 | | matches | | 0 | "e with shame" | | 1 | "A surge of anger" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 133 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1382 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1037 | | uniqueNames | 12 | | maxNameDensity | 0.58 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 2 | | Carter | 1 | | Moreau | 1 | | London | 2 | | French | 2 | | Eva | 2 | | Lucien | 6 | | Shoreditch | 1 | | Avaros | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Ptolemy" |
| | places | | 0 | "London" | | 1 | "French" | | 2 | "Shoreditch" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 1 | | matches | | 0 | "as though memorising the line of her jaw, the way her black hair fell to her shoulders" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1382 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 184 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 20.03 | | std | 11.6 | | cv | 0.579 | | sampleLengths | | 0 | 39 | | 1 | 12 | | 2 | 15 | | 3 | 49 | | 4 | 41 | | 5 | 16 | | 6 | 46 | | 7 | 39 | | 8 | 14 | | 9 | 20 | | 10 | 15 | | 11 | 13 | | 12 | 15 | | 13 | 6 | | 14 | 23 | | 15 | 5 | | 16 | 9 | | 17 | 13 | | 18 | 28 | | 19 | 18 | | 20 | 18 | | 21 | 15 | | 22 | 11 | | 23 | 4 | | 24 | 8 | | 25 | 17 | | 26 | 20 | | 27 | 25 | | 28 | 17 | | 29 | 10 | | 30 | 23 | | 31 | 18 | | 32 | 11 | | 33 | 29 | | 34 | 17 | | 35 | 44 | | 36 | 6 | | 37 | 14 | | 38 | 16 | | 39 | 25 | | 40 | 18 | | 41 | 15 | | 42 | 12 | | 43 | 29 | | 44 | 7 | | 45 | 10 | | 46 | 9 | | 47 | 20 | | 48 | 41 | | 49 | 23 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 213 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 184 | | ratio | 0.011 | | matches | | 0 | "His heterochromatic gaze—amber and black—rested on her." | | 1 | "He glanced at the three deadbolts—each unfastened—at Eva’s place." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1044 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.018199233716475097 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004789272030651341 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 7.51 | | std | 4.64 | | cv | 0.617 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 7 | | 3 | 8 | | 4 | 4 | | 5 | 11 | | 6 | 4 | | 7 | 3 | | 8 | 3 | | 9 | 15 | | 10 | 16 | | 11 | 12 | | 12 | 9 | | 13 | 21 | | 14 | 11 | | 15 | 7 | | 16 | 9 | | 17 | 5 | | 18 | 11 | | 19 | 23 | | 20 | 5 | | 21 | 2 | | 22 | 14 | | 23 | 5 | | 24 | 5 | | 25 | 10 | | 26 | 5 | | 27 | 6 | | 28 | 8 | | 29 | 12 | | 30 | 8 | | 31 | 5 | | 32 | 10 | | 33 | 9 | | 34 | 4 | | 35 | 12 | | 36 | 3 | | 37 | 4 | | 38 | 2 | | 39 | 4 | | 40 | 15 | | 41 | 4 | | 42 | 5 | | 43 | 7 | | 44 | 2 | | 45 | 8 | | 46 | 5 | | 47 | 12 | | 48 | 12 | | 49 | 4 |
| |
| 60.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3804347826086957 | | totalSentences | 184 | | uniqueOpeners | 70 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 126 | | matches | | 0 | "Then she waited." | | 1 | "Then he swept the cane’s" |
| | ratio | 0.016 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 81 | | totalSentences | 126 | | matches | | 0 | "His heterochromatic gaze—amber and black—rested" | | 1 | "She froze, keys still clinking" | | 2 | "he said, voice low, cultured" | | 3 | "Her stomach clenched." | | 4 | "She stepped aside." | | 5 | "He crossed the threshold with" | | 6 | "He glanced at the three" | | 7 | "she said, voice brittle" | | 8 | "She dropped the keys onto" | | 9 | "He offered a single nod." | | 10 | "His black eye flicked to" | | 11 | "She felt it prickle with" | | 12 | "He tapped the cane atop" | | 13 | "She reached to catch one." | | 14 | "she snapped, standing" | | 15 | "He extracted a silk handkerchief," | | 16 | "She squeezed her eyes shut." | | 17 | "He stepped forward, shoulders squared" | | 18 | "She crossed her arms, feet" | | 19 | "His amber eye darkened." |
| | ratio | 0.643 | |
| 11.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 113 | | totalSentences | 126 | | matches | | 0 | "The bolt shot back before" | | 1 | "Lucien Moreau filled the narrow" | | 2 | "His heterochromatic gaze—amber and black—rested" | | 3 | "She froze, keys still clinking" | | 4 | "Every rational thought stalled." | | 5 | "he said, voice low, cultured" | | 6 | "Her stomach clenched." | | 7 | "She stepped aside." | | 8 | "The door swung fully open" | | 9 | "He crossed the threshold with" | | 10 | "Rory closed the door quietly" | | 11 | "He glanced at the three" | | 12 | "The research flat above the" | | 13 | "Ptolemy, Eva’s tabby cat, padded" | | 14 | "she said, voice brittle" | | 15 | "She dropped the keys onto" | | 16 | "He offered a single nod." | | 17 | "His black eye flicked to" | | 18 | "She felt it prickle with" | | 19 | "He tapped the cane atop" |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 126 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "He winced as if struck, fingers curling around the cane’s shaft." | | 1 | "His gaze followed her every move, as though memorising the line of her jaw, the way her black hair fell to her shoulders." |
| |
| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice low, cultured French lilt smoothing the tension" | | 1 | "He leaned, gaze flicking to the barred window" | | 2 | "She stormed, books rattling" | | 3 | "he said, voice calm as a blade’s edge" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 70 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.286 | | effectiveRatio | 0.057 | |