| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped aside [aside]" |
| | dialogueSentences | 22 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.125 | | effectiveRatio | 0.091 | |
| 88.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 840 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "languidly" | | 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) | |
| 22.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 840 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "silk" | | 1 | "pounding" | | 2 | "echoed" | | 3 | "glint" | | 4 | "gleaming" | | 5 | "eyebrow" | | 6 | "whisper" | | 7 | "could feel" | | 8 | "depths" | | 9 | "amidst" | | 10 | "echoes" |
| |
| 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 | 52 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 838 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 638 | | uniqueNames | 6 | | maxNameDensity | 1.41 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Eva | 3 | | Ptolemy | 2 | | Moreau | 1 | | French | 1 | | Aurora | 9 | | Lucien | 8 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Aurora" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 0.795 | | windowScore | 0.833 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed unfazed his eyes lingering on the books, a small smile playing on his lips" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 838 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 32.23 | | std | 17.08 | | cv | 0.53 | | sampleLengths | | 0 | 53 | | 1 | 44 | | 2 | 58 | | 3 | 2 | | 4 | 36 | | 5 | 67 | | 6 | 22 | | 7 | 27 | | 8 | 62 | | 9 | 15 | | 10 | 16 | | 11 | 7 | | 12 | 23 | | 13 | 19 | | 14 | 15 | | 15 | 35 | | 16 | 49 | | 17 | 15 | | 18 | 26 | | 19 | 39 | | 20 | 21 | | 21 | 50 | | 22 | 44 | | 23 | 35 | | 24 | 20 | | 25 | 38 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 52 | | matches | | 0 | "was slicked" | | 1 | "was used" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 99.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 66 | | ratio | 0.015 | | matches | | 0 | "The tall, lean frame, the way he held himself, the glint of something metallic in his hand—a cane, she remembered." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 640 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.0328125 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 12.7 | | std | 7.41 | | cv | 0.583 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 20 | | 3 | 20 | | 4 | 5 | | 5 | 19 | | 6 | 11 | | 7 | 21 | | 8 | 6 | | 9 | 20 | | 10 | 2 | | 11 | 6 | | 12 | 5 | | 13 | 9 | | 14 | 16 | | 15 | 8 | | 16 | 11 | | 17 | 15 | | 18 | 13 | | 19 | 20 | | 20 | 17 | | 21 | 5 | | 22 | 7 | | 23 | 15 | | 24 | 5 | | 25 | 9 | | 26 | 15 | | 27 | 21 | | 28 | 17 | | 29 | 11 | | 30 | 4 | | 31 | 2 | | 32 | 14 | | 33 | 4 | | 34 | 3 | | 35 | 14 | | 36 | 9 | | 37 | 14 | | 38 | 5 | | 39 | 6 | | 40 | 9 | | 41 | 35 | | 42 | 10 | | 43 | 24 | | 44 | 15 | | 45 | 10 | | 46 | 5 | | 47 | 2 | | 48 | 24 | | 49 | 5 |
| |
| 67.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4393939393939394 | | totalSentences | 66 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 32.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 49 | | matches | | 0 | "She marked her page, closed" | | 1 | "She approached the door, her" | | 2 | "Her breath caught in her" | | 3 | "She took a deep breath," | | 4 | "He was impeccably dressed, as" | | 5 | "His platinum blond hair was" | | 6 | "He held his cane, the" | | 7 | "he said, his voice a" | | 8 | "She stepped aside, allowing him" | | 9 | "he commented, turning to face" | | 10 | "she snapped, then sighed, running" | | 11 | "He leaned against the doorframe," | | 12 | "he interrupted, his voice steady" | | 13 | "She remembered the last time" | | 14 | "She remembered the hurt, the" | | 15 | "she asked, her voice barely" | | 16 | "She could feel the old" | | 17 | "she asked, her voice steady" | | 18 | "His eyes searched hers, and" | | 19 | "She thought of the past," |
| | ratio | 0.469 | |
| 41.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 49 | | matches | | 0 | "The doorbell chimed, a shrill" | | 1 | "Aurora, engrossed in a book," | | 2 | "Ptolemy, however, twitched an ear" | | 3 | "Aurora watched the cat through" | | 4 | "That was no ordinary visitor." | | 5 | "She marked her page, closed" | | 6 | "She approached the door, her" | | 7 | "The tall, lean frame, the" | | 8 | "Her breath caught in her" | | 9 | "She took a deep breath," | | 10 | "Lucien stood there, his heterochromatic" | | 11 | "He was impeccably dressed, as" | | 12 | "His platinum blond hair was" | | 13 | "He held his cane, the" | | 14 | "he said, his voice a" | | 15 | "Aurora crossed her arms, her" | | 16 | "She stepped aside, allowing him" | | 17 | "Lucien entered, his gaze sweeping" | | 18 | "Books stacked haphazardly, scrolls unfurled" | | 19 | "Eva's flat, a cramped one-bedroom" |
| | ratio | 0.837 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 49 | | matches | | 0 | "Yet, he seemed unfazed, his" |
| | ratio | 0.02 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "She marked her page, closed the book, and stood, her heart pounding a rhythm that echoed the insistent ringing." | | 1 | "Yet, he seemed unfazed, his eyes lingering on the books, a small smile playing on his lips." | | 2 | "And so, amidst the clutter of Eva's flat, amidst the echoes of the past and the whispers of the future, Aurora and Lucien stood, their hands reaching out, their…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 5 | | matches | | 0 | "he commented, turning to face her" | | 1 | "he interrupted, his voice steady," | | 2 | "she asked, her voice barely above a whisper" | | 3 | "she asked, her voice steady now" | | 4 | "she said, her voice firm" |
| |
| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "he commented (comment)" | | 1 | "she snapped (snap)" | | 2 | "he interrupted (interrupt)" |
| | dialogueSentences | 22 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.429 | | effectiveRatio | 0.273 | |