| 42.11% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "she admitted finally [finally]" | | 1 | "he asked suddenly [suddenly]" | | 2 | "she admitted finally [finally]" |
| | dialogueSentences | 37 | | tagDensity | 0.514 | | leniency | 1 | | rawRatio | 0.158 | | effectiveRatio | 0.158 | |
| 85.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1041 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "carefully" | | 1 | "barely above a whisper" | | 2 | "suddenly" |
| |
| 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 | 1041 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "glinting" | | 1 | "weight" | | 2 | "unspoken" | | 3 | "tension" | | 4 | "raced" | | 5 | "familiar" | | 6 | "flicked" | | 7 | "echoed" | | 8 | "reminder" | | 9 | "eyebrow" | | 10 | "racing" | | 11 | "glint" | | 12 | "constructed" | | 13 | "down her spine" | | 14 | "warmth" | | 15 | "whisper" | | 16 | "clenching" | | 17 | "intensity" | | 18 | "silence" | | 19 | "could feel" | | 20 | "magnetic" | | 21 | "unreadable" | | 22 | "sense of" | | 23 | "testament" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "the weight of unspoken words" | | 1 | "sent a shiver down" | | 2 | "a glimmer of hope" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 65 | | 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 | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1038 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 862 | | uniqueNames | 10 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Aurora | 13 | | Carter | 1 | | Lucien | 13 | | Moreau | 1 | | Frenchman | 1 | | French | 1 | | London | 1 | | Evan | 1 | | Silence | 1 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Carter" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Frenchman" | | 6 | "Evan" | | 7 | "Silence" |
| | places | | | globalScore | 0.746 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1038 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 83 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 30.53 | | std | 16.83 | | cv | 0.551 | | sampleLengths | | 0 | 76 | | 1 | 26 | | 2 | 61 | | 3 | 46 | | 4 | 40 | | 5 | 15 | | 6 | 22 | | 7 | 54 | | 8 | 31 | | 9 | 57 | | 10 | 23 | | 11 | 11 | | 12 | 24 | | 13 | 23 | | 14 | 13 | | 15 | 33 | | 16 | 17 | | 17 | 12 | | 18 | 16 | | 19 | 35 | | 20 | 15 | | 21 | 26 | | 22 | 17 | | 23 | 43 | | 24 | 50 | | 25 | 16 | | 26 | 23 | | 27 | 7 | | 28 | 34 | | 29 | 14 | | 30 | 41 | | 31 | 19 | | 32 | 42 | | 33 | 56 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 149 | | matches | (empty) | |
| 74.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 83 | | ratio | 0.024 | | matches | | 0 | "The flat was as she remembered—cramped, every surface cluttered with books, scrolls, and research notes." | | 1 | "Lucien was a man of contradictions—half-demon, half-human, a creature of both worlds and yet belonging to neither." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 867 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 25 | | adverbRatio | 0.02883506343713956 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011534025374855825 | |
| 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 | 12.51 | | std | 6.55 | | cv | 0.523 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 24 | | 3 | 19 | | 4 | 14 | | 5 | 8 | | 6 | 4 | | 7 | 20 | | 8 | 19 | | 9 | 22 | | 10 | 15 | | 11 | 16 | | 12 | 15 | | 13 | 10 | | 14 | 30 | | 15 | 10 | | 16 | 5 | | 17 | 15 | | 18 | 7 | | 19 | 12 | | 20 | 28 | | 21 | 14 | | 22 | 14 | | 23 | 16 | | 24 | 1 | | 25 | 6 | | 26 | 14 | | 27 | 17 | | 28 | 20 | | 29 | 15 | | 30 | 8 | | 31 | 8 | | 32 | 3 | | 33 | 13 | | 34 | 11 | | 35 | 15 | | 36 | 8 | | 37 | 11 | | 38 | 2 | | 39 | 10 | | 40 | 12 | | 41 | 11 | | 42 | 14 | | 43 | 3 | | 44 | 7 | | 45 | 5 | | 46 | 12 | | 47 | 4 | | 48 | 28 | | 49 | 7 |
| |
| 67.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.42168674698795183 | | totalSentences | 83 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 41.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 65 | | matches | | 0 | "Her bright blue eyes, sharp" | | 1 | "He stepped aside, gesturing for" | | 2 | "she replied, her tone cool," | | 3 | "She stepped inside, the familiar" | | 4 | "It had been months since" | | 5 | "she admitted finally, the words" | | 6 | "he said, moving to the" | | 7 | "She nodded, grateful for the" | | 8 | "His heterochromatic eyes, one amber," | | 9 | "he asked, his back to" | | 10 | "she replied, leaning against the" | | 11 | "she said, a small smile" | | 12 | "He turned, two steaming mugs" | | 13 | "She took a sip, the" | | 14 | "she said, her voice barely" | | 15 | "she said, meeting his gaze" | | 16 | "She paused, the memory of" | | 17 | "he said, his voice firm," | | 18 | "She hadn't realized how much" | | 19 | "she said, her voice softening" |
| | ratio | 0.446 | |
| 6.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 65 | | matches | | 0 | "The door to Eva's flat" | | 1 | "Her bright blue eyes, sharp" | | 2 | "The Frenchman stood in the" | | 3 | "Lucien said, his voice smooth," | | 4 | "He stepped aside, gesturing for" | | 5 | "Aurora hesitated, her hand brushing" | | 6 | "she replied, her tone cool," | | 7 | "She stepped inside, the familiar" | | 8 | "The flat was as she" | | 9 | "Ptolemy, Eva's tabby cat, lounged" | | 10 | "Aurora's gaze flicked over the" | | 11 | "Lucien said, closing the door" | | 12 | "The sound of the deadbolts" | | 13 | "Aurora replied, crossing her arms" | | 14 | "Lucien arched an eyebrow, a" | | 15 | "Aurora shifted her weight, her" | | 16 | "It had been months since" | | 17 | "she admitted finally, the words" | | 18 | "Lucien's expression softened, the teasing" | | 19 | "he said, moving to the" |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "The sound of the deadbolts sliding into place echoed in the small space, a reminder of the world outside, the dangers that lurked in the shadows of London's sup…" | | 1 | "She reached out, her fingers brushing against his, the contact sending a jolt of electricity through her." | | 2 | "As they stood there, hand in hand, the world outside seemed to fade away, leaving only the two of them, bound by a connection that defied explanation." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 10 | | matches | | 0 | "she admitted finally, the words tasting bitter on her tongue" | | 1 | "she said, a small smile tugging at her lips despite herself" | | 2 | "she said, her voice barely above a whisper" | | 3 | "She paused, the memory of Evan's possessive gaze flashing in her mind" | | 4 | "he said, his voice firm, reassuring" | | 5 | "she said, her voice softening" | | 6 | "she said, her voice barely audible" | | 7 | "he asked suddenly, the question hanging in the air like a challenge" | | 8 | "She took, the words tumbling out before she could stop them" | | 9 | "he said, his voice a promise" |
| |
| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 2 | | fancyTags | | 0 | "she admitted finally (admit)" | | 1 | "she admitted finally (admit)" |
| | dialogueSentences | 37 | | tagDensity | 0.459 | | leniency | 0.919 | | rawRatio | 0.118 | | effectiveRatio | 0.108 | |