| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 3 | | adverbTags | | 0 | "blond hair slicked back [back]" | | 1 | "she asked again [again]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 79.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 749 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 2 |
|
| | highlights | | 0 | "slightly" | | 1 | "barely above a whisper" |
| |
| 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 | 749 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "stark" | | 1 | "otherworldly" | | 2 | "racing" | | 3 | "encounter" | | 4 | "throb" | | 5 | "scanning" | | 6 | "tension" | | 7 | "echoing" | | 8 | "tracing" | | 9 | "down her spine" | | 10 | "intensity" | | 11 | "whisper" | | 12 | "eyebrow" | | 13 | "unspoken" | | 14 | "dancing" | | 15 | "depths" | | 16 | "silence" | | 17 | "oppressive" | | 18 | "palpable" | | 19 | "pounding" |
| |
| 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 | 1 | | narrationSentences | 37 | | matches | | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 37 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 45 | | 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 | 747 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 42.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 604 | | uniqueNames | 3 | | maxNameDensity | 2.15 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" |
| | places | (empty) | | globalScore | 0.424 | | windowScore | 0.667 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 1 | | matches | | 0 | "something akin to anger dancing in their depths" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 747 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 83.40% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 32.48 | | std | 14.35 | | cv | 0.442 | | sampleLengths | | 0 | 70 | | 1 | 57 | | 2 | 40 | | 3 | 39 | | 4 | 39 | | 5 | 43 | | 6 | 21 | | 7 | 15 | | 8 | 38 | | 9 | 30 | | 10 | 13 | | 11 | 29 | | 12 | 13 | | 13 | 26 | | 14 | 33 | | 15 | 31 | | 16 | 33 | | 17 | 28 | | 18 | 15 | | 19 | 42 | | 20 | 50 | | 21 | 11 | | 22 | 31 |
| |
| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 37 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 104 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 45 | | ratio | 0 | | matches | (empty) | |
| 89.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 155 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.05161290322580645 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0064516129032258064 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 16.6 | | std | 7.66 | | cv | 0.461 | | sampleLengths | | 0 | 20 | | 1 | 27 | | 2 | 23 | | 3 | 22 | | 4 | 14 | | 5 | 21 | | 6 | 40 | | 7 | 17 | | 8 | 22 | | 9 | 23 | | 10 | 16 | | 11 | 20 | | 12 | 23 | | 13 | 21 | | 14 | 9 | | 15 | 6 | | 16 | 14 | | 17 | 24 | | 18 | 17 | | 19 | 13 | | 20 | 13 | | 21 | 15 | | 22 | 14 | | 23 | 9 | | 24 | 4 | | 25 | 12 | | 26 | 14 | | 27 | 10 | | 28 | 23 | | 29 | 9 | | 30 | 22 | | 31 | 14 | | 32 | 11 | | 33 | 8 | | 34 | 11 | | 35 | 17 | | 36 | 15 | | 37 | 16 | | 38 | 26 | | 39 | 9 | | 40 | 41 | | 41 | 11 | | 42 | 10 | | 43 | 8 | | 44 | 13 |
| |
| 59.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.35555555555555557 | | totalSentences | 45 | | uniqueOpeners | 16 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 37 | | matches | | 0 | "It had been months since" | | 1 | "His deep voice was low" | | 2 | "She turned away, busying herself" | | 3 | "she asked, her voice barely" | | 4 | "she repeated, her voice laced" | | 5 | "she asked again, her voice" | | 6 | "She knew that getting involved" | | 7 | "she said finally, her voice" | | 8 | "he said, his voice low" |
| | ratio | 0.243 | |
| 0.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 37 | | matches | | 0 | "The door creaked open, and" | | 1 | "Lucien Moreau, his platinum blond" | | 2 | "The flickering streetlights outside cast" | | 3 | "Rory's grip on the doorframe" | | 4 | "It had been months since" | | 5 | "The small crescent-shaped scar on" | | 6 | "Rory's voice was a mix" | | 7 | "Lucien's gaze swept past her," | | 8 | "His deep voice was low" | | 9 | "Rory hesitated for a moment," | | 10 | "Rory's eyes followed him, her" | | 11 | "Rory asked, her voice a" | | 12 | "Lucien shook his head, his" | | 13 | "Rory felt a shiver run" | | 14 | "She turned away, busying herself" | | 15 | "Lucien took the glass, his" | | 16 | "Rory pulled her hand back," | | 17 | "she asked, her voice barely" | | 18 | "Lucien set the glass down" | | 19 | "Rory raised an eyebrow, her" |
| | ratio | 0.919 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 9 | | matches | | 0 | "The small crescent-shaped scar on her left wrist seemed to throb in memory of the night that had driven them apart." | | 1 | "Lucien's gaze swept past her, his eyes scanning the cramped space behind her before returning to hers." | | 2 | "Rory hesitated for a moment, her mind flashing back to all the reasons she had been trying to keep her distance from him." | | 3 | "She turned away, busying herself with pouring a glass of water from the tap, her hands shaking slightly as she handed it to him." | | 4 | "Lucien took the glass, his fingers brushing against hers, sending a spark of electricity through her body." | | 5 | "Lucien's gaze dropped, his eyes scanning the floor before returning to hers." | | 6 | "Rory felt her chest tighten as she searched his face, looking for answers to the questions that had been plaguing her for months." | | 7 | "Rory felt her heart pounding in her chest, her mind racing with the implications of Lucien's words." | | 8 | "Lucien's gaze locked onto hers, his eyes burning with an intensity that made her skin prickle." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "she asked, her voice barely above a whisper" | | 1 | "she asked again, her voice firmer this time" | | 2 | "she said finally, her voice barely above a whisper" | | 3 | "he said, his voice low and husky" |
| |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.167 | | effectiveRatio | 0.125 | |