| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 2 | | adverbTags | | 0 | "she asked finally [finally]" | | 1 | "Lucien murmured finally [finally]" |
| | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.333 | | effectiveRatio | 0.25 | |
| 87.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 821 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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 | 821 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "tension" | | 1 | "flicker" | | 2 | "tinged" | | 3 | "down her spine" | | 4 | "reminder" | | 5 | "chaotic" | | 6 | "eyebrow" | | 7 | "etched" | | 8 | "unspoken" | | 9 | "intensity" | | 10 | "wavered" | | 11 | "racing" | | 12 | "whisper" | | 13 | "throb" | | 14 | "palpable" | | 15 | "silence" | | 16 | "enigmatic" | | 17 | "amidst" | | 18 | "sense of" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "sent a shiver down" | | 2 | "a spark of recognition" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 31 | | matches | (empty) | |
| 4.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 31 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 39 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 818 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 604 | | uniqueNames | 7 | | maxNameDensity | 1.66 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 1 | | Marseille | 1 | | Aurora | 10 | | Ptolemy | 1 | | Eva | 1 | | Lucien | 9 | | Evan | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | | | globalScore | 0.672 | | windowScore | 0.833 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 29 | | glossingSentenceCount | 1 | | matches | | 0 | "presence that seemed to haunt her very breath" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 818 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 65.54% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 40.9 | | std | 15.52 | | cv | 0.379 | | sampleLengths | | 0 | 3 | | 1 | 62 | | 2 | 60 | | 3 | 36 | | 4 | 52 | | 5 | 39 | | 6 | 55 | | 7 | 38 | | 8 | 32 | | 9 | 26 | | 10 | 51 | | 11 | 56 | | 12 | 43 | | 13 | 22 | | 14 | 35 | | 15 | 56 | | 16 | 37 | | 17 | 28 | | 18 | 24 | | 19 | 63 |
| |
| 48.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 31 | | matches | | 0 | "was sprawled" | | 1 | "been intertwined" | | 2 | "was electrified" | | 3 | "been drawn" | | 4 | "was left" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 83 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 39 | | ratio | 0 | | matches | (empty) | |
| 91.52% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 607 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.042833607907743 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013179571663920923 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 39 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 39 | | mean | 20.97 | | std | 8.98 | | cv | 0.428 | | sampleLengths | | 0 | 3 | | 1 | 13 | | 2 | 26 | | 3 | 23 | | 4 | 31 | | 5 | 29 | | 6 | 11 | | 7 | 25 | | 8 | 22 | | 9 | 30 | | 10 | 39 | | 11 | 38 | | 12 | 17 | | 13 | 38 | | 14 | 18 | | 15 | 14 | | 16 | 9 | | 17 | 17 | | 18 | 29 | | 19 | 22 | | 20 | 15 | | 21 | 31 | | 22 | 10 | | 23 | 21 | | 24 | 22 | | 25 | 5 | | 26 | 17 | | 27 | 12 | | 28 | 23 | | 29 | 16 | | 30 | 23 | | 31 | 17 | | 32 | 21 | | 33 | 16 | | 34 | 28 | | 35 | 17 | | 36 | 7 | | 37 | 31 | | 38 | 32 |
| |
| 98.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5897435897435898 | | totalSentences | 39 | | uniqueOpeners | 23 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 31 | | matches | | 0 | "Then, with a swiftness that" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 31 | | matches | | 0 | "Her tone was even, a" | | 1 | "He stepped inside, his movements" | | 2 | "she said, her eyes never" | | 3 | "he observed, his voice laced" | | 4 | "she asked finally, her voice" |
| | ratio | 0.161 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 27 | | totalSentences | 31 | | matches | | 0 | "**Chapter 5: Uninvited**" | | 1 | "The door creaked, its three" | | 2 | "Aurora's gaze snapped up from" | | 3 | "A sea of tailored charcoal" | | 4 | "Lucien Moreau's heterochromatic eyes, one" | | 5 | "The low, smooth voice, tinged" | | 6 | "Aurora's grip on her pen" | | 7 | "Her tone was even, a" | | 8 | "He stepped inside, his movements" | | 9 | "The smile that accompanied this" | | 10 | "she said, her eyes never" | | 11 | "he observed, his voice laced" | | 12 | "Aurora replied, the edge in" | | 13 | "Lucien's expression remained unchanged, but" | | 14 | "Aurora raised an eyebrow, skepticism" | | 15 | "The air seemed to thicken," | | 16 | "The mention of Evan's name" | | 17 | "Aurora's composure wavered, her mind" | | 18 | "she asked finally, her voice" | | 19 | "Lucien's face was a mask" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 5 | | matches | | 0 | "As he moved further into the flat, his gaze roamed the cluttered space, taking in the chaotic arrangement of books, scrolls, and the sleepy form of Ptolemy, Eva…" | | 1 | "The air seemed to thicken, heavy with unspoken words and unresolved emotions as Lucien approached her, his eyes locked onto hers with an intensity that made her…" | | 2 | "Then, with a swiftness that belied her turmoil, Aurora stood, the sudden movement sending books and papers sliding off her lap." | | 3 | "With a fluidity that was almost unsettling, Lucien turned and walked back to the door, the sound of the deadbolts engaging once more behind him the only sign of…" | | 4 | "Aurora was left standing amidst the chaos of her flat, her thoughts in disarray, the only constant the lingering sense of Lucien's presence, a presence that see…" |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she asked finally, her voice tight, controlled" |
| |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "Lucien murmured finally (murmur)" |
| | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.4 | | effectiveRatio | 0.25 | |