| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "he agreed quietly [quietly]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 29 | | tagDensity | 0.414 | | leniency | 0.828 | | rawRatio | 0.25 | | effectiveRatio | 0.207 | |
| 88.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1317 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "quickly" | | 1 | "barely above a whisper" | | 2 | "really" |
| |
| 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) | |
| 27.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1317 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "intensity" | | 1 | "methodical" | | 2 | "pulse" | | 3 | "flicker" | | 4 | "warmth" | | 5 | "weight" | | 6 | "shattered" | | 7 | "resolved" | | 8 | "charged" | | 9 | "silence" | | 10 | "traced" | | 11 | "throb" | | 12 | "magnetic" | | 13 | "whisper" | | 14 | "tension" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "the air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1317 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 933 | | uniqueNames | 6 | | maxNameDensity | 0.54 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | London | 1 | | Marseille | 1 | | Lucien | 4 | | Thames | 1 | | Rory | 5 |
| | persons | | | places | | 0 | "London" | | 1 | "Marseille" | | 2 | "Thames" |
| | globalScore | 1 | | windowScore | 1 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like a verdict" | | 1 | "something like relief cutting through the te" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1317 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 52.68 | | std | 34.53 | | cv | 0.655 | | sampleLengths | | 0 | 126 | | 1 | 62 | | 2 | 24 | | 3 | 50 | | 4 | 2 | | 5 | 66 | | 6 | 131 | | 7 | 52 | | 8 | 49 | | 9 | 34 | | 10 | 64 | | 11 | 74 | | 12 | 86 | | 13 | 107 | | 14 | 12 | | 15 | 44 | | 16 | 16 | | 17 | 52 | | 18 | 86 | | 19 | 24 | | 20 | 13 | | 21 | 26 | | 22 | 18 | | 23 | 26 | | 24 | 73 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 75.78% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 161 | | matches | | 0 | "was still trying" | | 1 | "was looking" | | 2 | "was finally leaving" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 96 | | ratio | 0 | | matches | (empty) | |
| 85.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 940 | | adjectiveStacks | 2 | | stackExamples | | 0 | "pale crescent-shaped scar" | | 1 | "heavy, spice-laden warmth" |
| | adverbCount | 40 | | adverbRatio | 0.0425531914893617 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013829787234042552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.72 | | std | 9.81 | | cv | 0.715 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 5 | | 3 | 21 | | 4 | 19 | | 5 | 28 | | 6 | 12 | | 7 | 13 | | 8 | 9 | | 9 | 28 | | 10 | 9 | | 11 | 11 | | 12 | 3 | | 13 | 2 | | 14 | 8 | | 15 | 16 | | 16 | 18 | | 17 | 7 | | 18 | 5 | | 19 | 2 | | 20 | 2 | | 21 | 16 | | 22 | 2 | | 23 | 38 | | 24 | 16 | | 25 | 12 | | 26 | 26 | | 27 | 28 | | 28 | 14 | | 29 | 15 | | 30 | 6 | | 31 | 18 | | 32 | 5 | | 33 | 19 | | 34 | 27 | | 35 | 8 | | 36 | 17 | | 37 | 10 | | 38 | 9 | | 39 | 17 | | 40 | 13 | | 41 | 5 | | 42 | 5 | | 43 | 4 | | 44 | 15 | | 45 | 5 | | 46 | 8 | | 47 | 5 | | 48 | 20 | | 49 | 31 |
| |
| 42.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3333333333333333 | | totalSentences | 96 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 73 | | matches | | 0 | "Just making room." | | 1 | "Too full of him." | | 2 | "Too heavy with the ghost" |
| | ratio | 0.041 | |
| 11.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 73 | | matches | | 0 | "She had not expected him." | | 1 | "His platinum blond hair was" | | 2 | "Her bright blue eyes locked" | | 3 | "It hammered a frantic, uneven" | | 4 | "She stepped back, not inviting" | | 5 | "Her voice came out steadier" | | 6 | "He didn't move to cross" | | 7 | "He never did without permission." | | 8 | "His gaze dropped to her" | | 9 | "He looked away quickly, a" | | 10 | "It had saved her life." | | 11 | "It had also been the" | | 12 | "She gestured vaguely at the" | | 13 | "He leaned the heavy oak" | | 14 | "She turned to face him." | | 15 | "he said simply" | | 16 | "He took a step closer." | | 17 | "she shot back, the cool," | | 18 | "He didn't flinch." | | 19 | "He never did." |
| | ratio | 0.521 | |
| 28.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 73 | | matches | | 0 | "The third deadbolt slid home" | | 1 | "Rory had expected the late-night" | | 2 | "She had not expected him." | | 3 | "The door swung inward, and" | | 4 | "Rain clung to the shoulders" | | 5 | "His platinum blond hair was" | | 6 | "Rory's fingers tightened around the" | | 7 | "Her bright blue eyes locked" | | 8 | "It hammered a frantic, uneven" | | 9 | "She stepped back, not inviting" | | 10 | "Her voice came out steadier" | | 11 | "Lucien replied, his voice a" | | 12 | "He didn't move to cross" | | 13 | "He never did without permission." | | 14 | "His gaze dropped to her" | | 15 | "He looked away quickly, a" | | 16 | "Every available surface in Eva's" | | 17 | "Ptolemy the tabby wound himself" | | 18 | "Lucien shifted his weight, the" | | 19 | "Rory knew what lived inside" |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "His platinum blond hair was slicked back, severe and immaculate, framing a face that hadn't aged a day since he walked out of her life eighteen months ago." | | 1 | "The way he'd pulled away when the demonic taint in his veins flared, terrified he'd hurt her, terrified of the hunger that lived in his blood just beneath the s…" | | 2 | "So was the simple, undeniable fact that he was the only person who knew how to read her silence without demanding she speak." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "she whispered, the words cracking at the edges" | | 1 | "she said finally, her voice barely above a whisper" |
| |
| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he agreed quietly (agree)" |
| | dialogueSentences | 29 | | tagDensity | 0.241 | | leniency | 0.483 | | rawRatio | 0.286 | | effectiveRatio | 0.138 | |