| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 3 | | adverbTags | | 0 | "Lucien said quietly [quietly]" | | 1 | "Lucien's fingers tightened around [around]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 57 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0.111 | | effectiveRatio | 0.105 | |
| 67.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1073 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "softly" | | 1 | "deliberately" | | 2 | "really" | | 3 | "very" |
| |
| 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) | |
| 58.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1073 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "echoed" | | 2 | "footsteps" | | 3 | "measured" | | 4 | "unreadable" | | 5 | "uncanny" | | 6 | "whisper" | | 7 | "silence" | | 8 | "tracing" |
| |
| 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 | 0 | | narrationSentences | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1059 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 583 | | uniqueNames | 9 | | maxNameDensity | 2.57 | | worstName | "Lucien" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Rory | 13 | | London | 2 | | Ptolemy | 1 | | Lucien | 15 | | Aurora | 1 | | Carter | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Aurora" | | 5 | "Carter" |
| | places | | | globalScore | 0.214 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 1059 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 24.07 | | std | 13.46 | | cv | 0.559 | | sampleLengths | | 0 | 16 | | 1 | 37 | | 2 | 1 | | 3 | 32 | | 4 | 14 | | 5 | 31 | | 6 | 28 | | 7 | 8 | | 8 | 23 | | 9 | 32 | | 10 | 36 | | 11 | 26 | | 12 | 34 | | 13 | 25 | | 14 | 25 | | 15 | 21 | | 16 | 13 | | 17 | 26 | | 18 | 42 | | 19 | 32 | | 20 | 7 | | 21 | 12 | | 22 | 19 | | 23 | 6 | | 24 | 14 | | 25 | 40 | | 26 | 40 | | 27 | 11 | | 28 | 40 | | 29 | 13 | | 30 | 57 | | 31 | 2 | | 32 | 43 | | 33 | 10 | | 34 | 23 | | 35 | 19 | | 36 | 40 | | 37 | 2 | | 38 | 33 | | 39 | 24 | | 40 | 9 | | 41 | 16 | | 42 | 50 | | 43 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 103 | | matches | (empty) | |
| 14.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 89 | | ratio | 0.045 | | matches | | 0 | "A tabby cat—Ptolemy—watched from a precarious stack of ancient manuscripts, green eyes unblinking." | | 1 | "\"There are always choices.\" Lucien turned to face her, his heterochromatic eyes—one amber, one black—catching the light." | | 2 | "It's what had drawn him to her initially—her cool-headed intelligence, her quick thinking in impossible situations." | | 3 | "Inside the flat, Rory picked up the leather book, her fingers tracing the embossed symbol on its cover—a crescent moon, identical to the scar on her wrist." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 594 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "small, leather-bound book." |
| | adverbCount | 22 | | adverbRatio | 0.037037037037037035 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011784511784511785 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 11.9 | | std | 7.53 | | cv | 0.633 | | sampleLengths | | 0 | 7 | | 1 | 3 | | 2 | 6 | | 3 | 15 | | 4 | 22 | | 5 | 1 | | 6 | 13 | | 7 | 14 | | 8 | 5 | | 9 | 14 | | 10 | 17 | | 11 | 14 | | 12 | 11 | | 13 | 17 | | 14 | 3 | | 15 | 5 | | 16 | 19 | | 17 | 4 | | 18 | 5 | | 19 | 14 | | 20 | 13 | | 21 | 16 | | 22 | 8 | | 23 | 12 | | 24 | 18 | | 25 | 8 | | 26 | 18 | | 27 | 7 | | 28 | 9 | | 29 | 17 | | 30 | 8 | | 31 | 17 | | 32 | 8 | | 33 | 17 | | 34 | 4 | | 35 | 12 | | 36 | 1 | | 37 | 15 | | 38 | 11 | | 39 | 11 | | 40 | 31 | | 41 | 8 | | 42 | 1 | | 43 | 1 | | 44 | 6 | | 45 | 16 | | 46 | 7 | | 47 | 10 | | 48 | 2 | | 49 | 13 |
| |
| 88.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.550561797752809 | | totalSentences | 89 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 58 | | matches | | 0 | "Her straight black hair fell" | | 1 | "he asked, his charcoal suit" | | 2 | "Her eyes darted to the" | | 3 | "He used her full name" | | 4 | "Her jaw tightened." | | 5 | "He ran a finger along" | | 6 | "She crossed her arms, the" | | 7 | "He wondered if that had" | | 8 | "She moved toward the small" | | 9 | "He followed her, the cane" | | 10 | "She filled the kettle anyway," | | 11 | "It's what had drawn him" | | 12 | "She finished making her tea," | | 13 | "She flinched but didn't pull" | | 14 | "He unlocked the deadbolts, the" | | 15 | "he said softly" | | 16 | "He stood in the hallway" |
| | ratio | 0.293 | |
| 11.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 58 | | matches | | 0 | "The deadbolts clunked open one" | | 1 | "Rory always was paranoid about" | | 2 | "The door swung inward to" | | 3 | "Her straight black hair fell" | | 4 | "Lucien leaned against the doorframe," | | 5 | "The scent of curry from" | | 6 | "he asked, his charcoal suit" | | 7 | "Rory's hand remained on the" | | 8 | "Her eyes darted to the" | | 9 | "He used her full name" | | 10 | "Her jaw tightened." | | 11 | "Lucien stepped forward, forcing her" | | 12 | "Rory moved aside, just enough." | | 13 | "The narrow hallway of Eva's" | | 14 | "A tabby cat—Ptolemy—watched from a" | | 15 | "Rory closed the door, sliding" | | 16 | "The metallic clicks echoed in" | | 17 | "He ran a finger along" | | 18 | "She crossed her arms, the" | | 19 | "A childhood accident, she'd told" |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory closed her eyes, leaning into his touch for just a second before stepping back." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 6 | | matches | | 0 | "Rory's hand remained, ready to slam it shut" | | 1 | "Rory's voice remained, but her fingers twisted the hem of her jumper" | | 2 | "He followed, the cane making soft tapping sounds on the floor" | | 3 | "Rory turned, her expression unreadable" | | 4 | "She finished, her movements precise" | | 5 | "Lucien stepped, his voice dropping to a near-whisper" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien laughed (laugh)" |
| | dialogueSentences | 57 | | tagDensity | 0.07 | | leniency | 0.14 | | rawRatio | 0.25 | | effectiveRatio | 0.035 | |